The dataset of ground truth measurement synchronizing with the airborne imaging spectrometer (OMIS-II) mission was obtained in the Linze station foci experimental area on Jun. 15, 2008. Observation items included: (1) soil moisture (0-5cm) measured by the cutting ring method (50cm^3) in LY06 and LY07 strips (repeated nine times). The preprocessed soil volumetric moisture data were archived as Excel files. (2) surface radiative temperature measured by three handheld infrared thermometer (5# and 6# from Cold and Arid Regions Environmental and Engineering Research Institute, and one from Institute of Geographic Sciences and Natural Resources, which were all calibrated) in the LY06 and LY07 strips (49 points and repeated three times), and Wulidun farmland quadrates (various points and repeated three times). Data were archived as Excel files. See the metadata record “WATER: Dataset of setting of the sampling plots and stripes in the Linze station foci experimental area” for more information of the quadrate locations.
DING Songchuang, PAN Xiaoduo, Qian Jinbo, SONG Yi, YU Yingjie
The dataset of ground truth measurements synchronizing with ALOS PALSAR was obtained in the Linze station foci experimental area on Jul. 10, 2008. The ALOS PALSAR data were in FBS mode and HH polarization combinations, and the overpass time was approximately at 23:39 BJT. Soil moisture (0-5cm) data were measured by the cutting ring method (50cm^3) in LY07 and LY08 quadrates (repeated nine times). The quadrate location information was listed in coordinates.xls and data were archived as Excel files. See the metadata record “WATER: Dataset of setting of the sampling plots and stripes in the Linze station foci experimental area” for more information of the quadrate locations.
PAN Xiaoduo, SONG Yi
The dataset of sun photometer observations was obtained in the Binggou watershed foci experimental areas (N38°04′1.4″/E100°13′15.6″, 3414.41m) from Mar. 15 to Apr. 2, 2008 (to be specific, the daytime of 15-03-2008, 16-03-2008, 17-03-2008, 18-03-2008, 19-03-2008, 21-03-2008, 22-03-2008, 23-03-2008, 24-03-2008, 25-03-2008, 26-03-2008 and 27-03-2008). Those provide reliable data for retrieval of optical depth, Rayleigh scattering, aerosol optical depth, column water vapor (through data in 936 nm) and with various parameters in 550nm, the horizontal visibility can be further developed by MODTRAN or 6S. The optical depth in 1640nm, 1020nm, 936nm, 870nm, 670nm, 550nm, 440nm, 380nm and 340nm were all acquired. Those data include the raw data in .k7 and can be opened by ASTPWin. ReadMe.txt is attached for detail. Processed data (after retrieval of the raw data) in Excel format are on optical depth, Rayleigh scattering, aerosol optical depth, the horizontal visibility, the near surface air temperature, the solar azimuth, zenith, solar distance correlation factors, and air column mass number. Accuracy of CE318 could be influenced by local air pressure, instrument calibration parameters, and convertion factors. (1) Most air pressure was derived from elevation-related empirical method, which was not reliable. For more accurate result, simultaneous data from the weather station are needed. (2) Errors in instrument calibration parameters need correcting. Thus field calibration based on Langly or interior instrument calibration in the standard light is required. (3) Convertion factors for retrieval of aerosol optical depth and the water vapor of the water vapor channel were also from the empirical method, and need further validation. Raw data were archived in .k7 format and can be opened by ASTPWin. ReadMe.txt is attached for detail. Preprocessed data (after retrieval of the raw data) in Excel format are on optical depth, Rayleigh scattering, aerosol optical depth, the horizontal visibility, the near surface air temperature, the solar azimuth, zenith, solar distance correlation factors, and air column mass number. Langley was used for the instrument calibration. Two subfolders including raw data and processed data (Geometric Positions and the Total Optical Depth of Each Channel and Rayleigh Scattering and Aerosol Optical Depth of Each Channel), and three data files (Directions on Data Observations, Raw Data and Proprocessed Data) were archived.
FANG Li, SU Gaoli, LIU Qinhuo
The dataset of soil moisture observations (VWC%) was obtained at the super site (100m×100m) around the Dayekou Guantan forest station on Jun. 5, 2008. The super site was divided into 16 subplots (25m×25m). 10 points were measured by TDR 300 (with the probe 20cm long) at random location in each subplot. The serial number and the cover type of the subplot, the number of the sample points and soil moisture (%) were recorded. Those provide reliable data for the construction of the 3D structure of the forest scene, and for the modeling of active and passive remote sensing mechanisms and the simulation of remote sensing images.
CAO Bin, Yang Yongtian
The dataset of ground truth measurement synchronizing with the airborne microwave radiometers (L&K bands) mission in the Linze station foci experimental area on Jul. 4, 2008. Observation items included: (1) soil moisture (0-5cm) measured by the cutting ring method (50cm^3) from sample points of the P1 to P6 strips (17 sample points each),. Photos were also taken. The preprocessed soil volumetric moisture data were archived as Excel files. (2) surface radiative temperature measured by the three handheld infrared thermometer (5# and 6# from Cold and Arid Regions Environmental and Engineering Research Institute, and one from Institute of Geographic Sciences and Natural Resources, which were all calibrated) from P1 to P6 strips quadrates. There are 34 sample points in total and each was repeated three times synchronizing with the airplane. Photos were taken. Data were archived as Excel files. See the metadata record “WATER: Dataset of setting of the sampling plots and stripes in the Linze station foci experimental area” for more information of the quadrate locations.
BAI Yanfen, DING Songchuang, Qian Jinbo, SHU Lele, JIANG Hao, SONG Yi, WANG Yang, XU Zhen, LI Shihua
The dataset of position of the sampling plots and stripes was obtained in A1, A2, A3, L1, L2, L3, L4, L5 and L6 of the A'rou foci experimental area. The quadrates were changed from 4×4 into 3×3 subsites during the foci experimental period, with each one spanning a 30×30 m2 plot. The centers and corners of each subsite were collected. As for the sampling lines, samples were collected every 100 m along them from south to north. The points were named in the form of L1-1, indication No. 1 point in No. 1 line. The coordinates and elevation of each sampling point were included in the dataset in Excel format.
LI Xin
The dataset of LST (Land Surface Temperature) observations was obtained by three handheld infrared thermometers (5# and 6# from Cold and Arid Regions Environmental and Engineering Research Institute, and also one from Institute of Geographic Sciences and Natural Resources, which were all calibrated) in the Linze station foci experimental area. The temperature was measured 14-30 times in 40 subplots of the west-east desert strip on May 24, 25 and 28, 2008, 12-30 times in 9 subplots of north-south strip on May 24, 25 and 28, 17 times from P1 to P6 strips on Jul. 4 and 8, three times of 147 points along LY06 strip on Jun. 6, 15, 29 and Jul. 11, LY07 strip on May 30, Jun. 6, 15, 29 and Jul. 11 and LY08 strip on May 30, Jun. 6 and 10, and three times in Wulidun farmland quadrates on May 25, Jun. 29 and Jul. 11. Calibration was carried out in the desert on May 25, and in Pingchuan reservoir on May 30. Data were archived as Excel files. See the metadata record “WATER: Dataset of setting of the sampling plots and stripes in the Linze station foci experimental area” for more information of the quadrate locations.
BAI Yanfen, SONG Yi, DING Songchuang, GAO Song, HAO Xiaohua, PAN Xiaoduo, Qian Jinbo, SHU Lele, SONG Yi, WANG Yang, XU Zhen, YAN Qiaodi, ZHU Shijie, YU Yingjie, DONG Jian, JIANG Hao, LI Shihua
The dataset of regimen change statistics was obtained at the hydrological section of the Dayekou watershed reservoir from Jan. 1, 2007 to May 23, 2008. Ten days observations were carried out from Oct. 21, 2007 to Apr. 11, 2008, and diurnal observations from Apr. 15 to Oct. 21, 2007, and from Apr. 16 to May 23, 2008. Data record fields included: inflow (m^3/s), water level (m), impoundment (ten thousand m^3/s), outflow (m^3/s), ten days mean inflow (m^3/s), ten days mean outflow (m^3/s), monthly mean inflow (m^3/s), and monthly mean outflow (m^3/s).
MA Mingguo
The dataset of setting of the sampling plots and stripes in the Linze station foci experimental area was as follows: (1) Wulidun farmland quadrates (90m×90m), which was divided into nine subplots (30m×30m). Numbering of Cold and Arid Regions Environmental and Engineering Research Institute was different from that of BNU, in which the former was 1-9 from south to north, and the latter was A-I from north to south. (2) the west-east desert strip, which was composed of 20 neighbouring pairs of subplots (30×30m). They were numbered S0-S20 from the south corner on and N0-N20 from the north corner on; the common corner points in the middle were numbered M0-M20. Corner points were measured during the satellite or airplane overpass. (3) the north-south desert strip, which was composed of nine non-conterminous subplots (40m×40m, numbered from A1-A9) at intervals of 60m. Corner points and center points were measured during the satellite or airplane overpass. (4) three quadrates (30m×30m) of the transit zone, LY06，LY07，LY08 strips. Samples were selected following the zigzag line from the northwest corner and numbered 1-9. (5) the poplar forest (90×90m), which was divided into 9 subplots (30m×30m). (6) 6 desert strips with 17 sample points each. (7) maize plots (3m×3m) inside Linze station. Data including coordinates of each sample point were archived as Excel files.
SONG Yi, MA Mingguo
The dataset of crop management survey was obtained in the Yingke oasis and Huazhaizi desert steppe foci experimental areas on Oct. 29, 30 and 31, 2008. Observation items included the observation date, the information of experimental area, the farming year, test breeds types, the sowing date, seeding quantity, planting density, the harvest date, the yield, the farming date, fertilizer, irrigation, desinsection, the key growth period, GPS, and the crop management. Data were archived in MS Office Word.
DING Songchuang, MA Mingguo
The dataset of dewfall measurements was obtained in the Linze station foci experimental area from 6 am to 7am and 7pm to 10pm. Two containers were used. One was the unsealed rectangle plastic condensate drain pan from May 26 to Jul. 28, 2008 (one time-continuous observation from Jun. 25 to 27 at intervals of 2 hours), and the other was the sealed and unsealed aluminum cases from Jun. 24 to Jul. 29, 2008 (two time-continuous observations from Jun. 25 to 27 and Jul. 19 to 20, respectively, both at intervals of 2 hours). Dewfall was weighed by G&G TC30K- H scales (accuracy: 1g) for the condensate drain pan and by electronic scales (accuracy: 0.1g) for the aluminum case.
BAI Yanfen, DING Songchuang, HAO Xiaohua, Qian Jinbo, SHU Lele, SONG Yi, WANG Yang, XU Zhen, ZHU Shijie
The dataset of evapotranspiration observed by the micro-lysimeter (d:25cm; h:24cm) was obtained in the Yingke oasis foci experimental area at 6:30am and 8:00pm from Jun. 14 to Jul. 13, 2008. The weather condition of the day was also recorded. Data were archived as Excel files. Observations on Jun. 25 and 26 discontinued.
GE Yingchun, MA Mingguo, SHU Lele, WANG Jianhua, XU Zhen, SU Gaoli, LIANG Wenguang, YU Fan, Wang Jing, LI Xiaoyu
The dataset of ground truth measurements synchronizing with Envisat ASAR was obtained in the Linze station foci experimental area from Sep. 12 to Sep. 15, 2007 during the pre-observation period. One scene of Envisat ASAR image was captured on Sep. 19. The data were in AP mode and VV/VH polarization combinations, and the overpass time was approximately at 11:29 BJT. Observation items included: (1) GPS by GARMIN GPS 76 (2) LAI by LAI-2000 (3) photosynthesis measured by LI6400 from Linze station carried out according to WATER specifications. Raw data were archived in the user-defined format , which can be opened by notepat and processed by Excel. (4) object spectrum of typical ground objects measured by ASD FieldSpec Spectroradiometer (350～2 500 nm) from Gansu Meteorological Administration. The reference whiteboard was attached therein. Raw spectral data were archived as binary files, which were recorded daily in detail, and pre-processed data on reflectance were archived as text files (.txt). (5) infrared temperature measured by the handheld infrared thermometer from Cold and Arid Regions Environmental and Engineering Research Institute, which was calibrated. The infrared temperature of the crown, the vertical canopy, 45 degrees frontlight and backlight were measured respectively. The data were archived as Excel files. (6) soil profile (0-10cm, 10-20cm, 20-40cm and 40-60cm), and soil moisture measured by the cutting ring method. Profile photos were taken meanwhile. (7) quadrate (1m×1m) investigations, including the quadrate number, species, quantities, coverage, the total quadrate coverage, the mean height, biomass number, the total green weight and the total dry weight. (8) repeated measurements on chlorophyll content of different species measured by SPAD 502. (9) photos taken by Nikon D80 with a lens of Sigma 8mm F3.5 EX DG CIRCULAR FISHEYE, shooting straight downwards at the height of 1.5m (10) atmospheric parameters at Daman Water Management office measured by CE318 (produced by CIMEL in France). The total optical depth, aerosol optical depth, Rayleigh scattering coefficient, column water vapor in 936 nm, particle size spectrum and phase function were then retrieved from these observations. The optical depth in 1020nm, 936nm, 870nm, 670nm and 440nm were all acquired by CE318. Those data include the raw data in .k7 and can be opened by ASTPWin. ReadMetext files (.txt) is attached for detail. Processed data (after retrieval of the raw data) in Excel are on optical depth, rayleigh scattering, aerosol optical depth, the horizontal visibility, the near surface air temperature, the solar azimuth, zenith, solar distance correlation factors, and air column mass number.
BAI Yunjie, CHE Tao, DING Songchuang, GAO Song, HAN Xujun, HAO Xiaohua, LI Hongyi, LI Xin, LI Zhe, LIANG Ji, PAN Xiaoduo, QIN Chun, RAN Youhua, WANG Xufeng, WU Yueru, YAN Qiaodi, ZHANG Lingmei, FANG Li, LI Hua, Liu Qiang, Wen Jianguang, MA Hongwei, YAN Yeqing, YUAN Xiaolong
The dataset focuses on the distribution of sampling plots and stripes in the Yingke oasis and Huazhaizi desert steppe foci experimental areas. (1) YKLZYMD-the maize field plot (180m×180m) at Yingke Weather Station It matches No. 10 flight route. Five subplots were selected, including three maize subplots and 2 wheat subplots. The maize subplots, labeled as YKLZYMD01, YKLZYMD02 and YKLZYMD03, were planted in different directions with a ridge sturctrue, which was composed of single row of maizes and bare soils. The distance of adjacent maize rows, as well as the width of bare soil was 0.5m . YKLZYMD05 (2.46m×1m, along the ridge) was located in the northwest of the plot and interplanted with wheat and soy bean. YKLZYMDD06 was exclusively wheat, and 10 rows (1.5m) vertical to the ridge and 1m along the ridge were measured. This is a key experimental area for canopy spectrum, component reflectance spectra, BRDF, albedo, the photosynthetic rate, FPAR, structural parameters, vegetation coverage, the radiative temperature, surface emissivity, atmospheric parameters and soil moisture. (2) YKXMD-Yingke wheat plot (180m×170m) It matches No. 11 flight route. Wheat and maize were interplanted. Three subplots with the same size (3.4m * 3.4m) were selected for the measurement of vegetaion structural parameters, BRDF, the radiative temperature, vegetation coverage and soil moisture. (3) HZZHMZYMD-Huazhaizi maize plot (240m×240m) It is located between No. 9 and No. 10 flight routes. The maize seed dominates, and wheat, alfalfa and tomatoes were planted. 4 maize subplots and one wheat subplot were chosen to collect the canopy temperature, spectrum, structural parameters and vegetation coverage. (4) HZZHMYD1-Huazhaizi desert No. 1 plot (240m×240m) It is located within No. 4 flight route. 3 subplots (30m×30m) were chosen for reflectance spectra, BRDF, vegetation coverage, emissivity, the radiative temperature, soil moisture, atmospheric parameters by sunphotometer CE318 and surface roughness. In cooperation with experiments in Huazhaizi desert plots and Yingke weather station, simultaneous airborne multiangular thermal infrared camera&CCD-ground observations, simultaneous airborne hyperspectral imager (OMIS)-ground observations, simultaneous OMIS/TM/ASTER/Hyperion/CHRIS/ASAR-ground observations were all accomplished. (5) HZZHMYD2-Huazhaizi desert No. 2 plot It matches No. 5 flight route. Three subplots (10m×10m) for coverage and the radiative temperature and one (30m×30m) for simultaneous temperature and spectrum were chosen. (6) HZZHMYD3-Huazhaizi desert No. 3 plot (30m×30m) It is an intensive plot without simultaneous airporne or spaceborne measurement. (7) DJCYMYD-the maize field at the resort It is an intensive plot (30m×30m) with the maize seeds, mainly for the measurement of radiative temperature and soil moisture. (8) DJCDMD-the barley field at the resort It is mainly for radiative temperature data. (9) DJCDBC-the calibration field at the resort It is located at the ICBC resort. The reflectance spectra of the basketball court, the pool and the vegetation were collected used for radiative calibration of CCD camera in visible and near infrared spectra range. The dataset also includes geographic infomation of each sample point.
REN Huazhong, YAN Guangkuo, XIN Xiaozhou, Liu Qiang, WANG Jianhua
The dataset of the albedo measurements was obtained by the shortwave radiometer (KippZonen CMP3, 310nm-2800nm, 1m above the ground) in the Linze station foci experimental area. Sand, psammophyte and withered annual herbs in A9 of the south-north desert strip and LY07, and flax, maize and tomatoes in Linze station were measured on May 28, Jun. 5, 6, 15, 22, 25, 30 and Jul. 4, 2008. Voltage was measured manually by the digital multimeter (UNIT) at intervals of 2 minutes for albedo from May 28 to Jun. 22; self-recording Campbell CR1000 was used at intervals of 1s from Jun. 25 to Jul. 4. TIMESTAMP (observation time), SOLAR_UP_AVG (downward shortwave radiation), SOLAR_DOWN_AVG (upward shortwave radiation), SOLAR_NET_AVG (net radiation)= SOLAR_UP_AVG - SOLAR_DOWN_AVG, albedo_Avg (albedo) = SOLAR_DOWN_AVG / SOLAR_UP_AVG, batt_volt_Min (voltage), and ptemp (CR1000 temperature) were all recorded. Manual data were archived as Excel files and the self-recording data in .dat, which were processed into Excel.
BAI Yanfen, Qian Jinbo, ZHU Shijie, SONG Yi
The dataset of surface roughness was obtained at the super site (100m×100m, pure Qinghai spruce) around the Dayekou Guantan forest station. 25 corner points and 16 center points were collected and each point was measured twice and photos were taken. With the roughness plate 110cm long and the measuring points distance 1cm, the samples were collected along the strip from south to north and from east to west, respectively. The photos were processed using ArcView software; and after geometric correction, surface height standard deviation (cm) and correlation length (cm) could be acquired based on the formula listed on pages 234-236, Microwave Remote Sensing, Vol. II. The roughness data were initialized by the sample name, which was followed by the serial number, the name of the file, standard deviation and correlation length. Each .txt file is matched with one sample photo and standard deviation and correlation length represent the roughness. In addition, the length of 101 radius is also included for further checking. Those provide reliable ground data for improving and verifying the remote sensing algorithms.
BAI Yunjie, CAO Yongpan, CHE Tao, CHEN Ling, Qu Yonghua, ZHOU Hongmin
The dataset of survey at the poplar sampling plot was obtained in the Linze station foci experimental area. Observation items included: (1) soil profile moisture and temperature (0-5cm, 0-5cm, 10-20cm, 20-40cm and 40-60cm) with photos measured twice by the cutting ring method (50cm^3, each layer), once by ML2X Soil Moisture Tachometer and the probe thermometer (15cm, twice each layer) on Jun. 3, 2008. Data were archived as Excel files. (2) shallow layer soil moisture (0-5cm) measured once by the cutting ring method (50cm^3, once each point) and twice by ML2X Soil Moisture Tachometer on Jun. 4, 2008. 13 points were selected and data were archived as Excel files. (3) LAI by TRAC on Jul. 20, 2008. Data were archived as Excel files. (4) roughness measured by the roughness plate together with the digital camera. 18 points were selected and data were archived in JPG format format. (5) forest investigation of Populus gansuensis from Jun. 5-13, 2008: coordinates, the diameter at breast height and the crown size by the measuring tape, full height by TruPulse200. 408 trees were selected and data were archived as Excel files. See the metadata record “WATER: Dataset of setting of the sampling plots and stripes in the Linze station foci experimental area” for more information of the quadrate locations.
BAI Yanfen, DING Songchuang, HAO Xiaohua, PAN Xiaoduo, Qian Jinbo, SONG Yi, WANG Yang, WANG Zhixia, ZHU Shijie
The dateset of GPR (Ground Penetration Radar) observations was obtained in the A'rou foci experimental area from Mar. 10 to Jun. 19, 2008. Those provide reliable dataset for retrieval of soil moisture and frozen depth from GPR observations. Observation items, sites and time were as follows: (1) GPR in No. 1 quadrate of A'rou on Mar. 10, 2008 (2) GPR+TDR in No. 2 and 3 quadrates of A'rou on Mar. 11, 2008 (3) GPR in No. 1 quadrate of A'rou on Mar. 12, 2008 (4) GPR in No. 2 quadrate of A'rou on Mar. 14, 2008 (5) GPR +TDR in No. 1 quadrate of A'rou on Mar. 15, 2008 (6) GPR +TDR in L6 of A'rou on Mar. 16, 2008 (7) GPR +TDR in L6 of A'rou on Mar. 17, 2008 (8) GPR +TDR in L6 of A'rou on Mar. 18, 2008 (9) GPR +TDR in L6 of A'rou on Mar. 19, 2008 (10) GPR in L6 of A'rou on Mar. 20, 2008 (11) GPR +TDR in No. 3 quadrate of A'rou on Mar. 21, 2008 (12) GPR in No. 1 and 3 quadrates of A'rou on May. 31, 2008 (13) GPR in No. 1 quadrate of A'rou on Jun. 20, 2008
LI Zhe, YU Meiyan, ZHAO Jin, PATRICK Klenk, YUAN Xiaolong,
The dataset of vegetation cover fraction observations was obtained by the self-made instrument and the camera at a height of 2.5m-3.5m above the ground in the Yingke oasis, Huazhaizi desert steppe and Biandukou foci experimental areas on May 20, 24, 25, 28 and 30, Jun. 11, 14, 15, 21, 23, 24, 27 and 30, and Jul. 2, 2008. Observations were carried out in Yingke oasis maize field, Yingke oasis wheat field, Huazhaizi desert No. 1 and 2 plots, the rape field, the barley field and grassland in Biandukou. A pole with known length was put in each photo to determine the size of the photo. GPS data was used for the location and the technology LAB was used to retieve the coverage of the green vegetation. Besides, surrounding environment was also recorded. The dataset included the primary collected vegetation images and retrieved fraction of vegetation coverage.
QIAN Yonggang, REN Huazhong, WANG Haoxing, WANG Jindi, WANG Tianxing, YAN Guangkuo, ZHANG Wuming
The dataset of TIR spectral emissivity was obtained in the arid region hydrology experiment area and A'rou foci experiment area. Observations were by: (1) Spectral emissivity obtained from 102F at 2-25um in cooperation with the handheld infrared thermometer (BNU) for the surface radiative temperature and one au-plating board for downward atmospheric radiation. The radiative transfer equation and TES methods were applied to retrieve emissivity. The grassland and the concrete floor were measured on May, 27, 2008, the wheat field and the maize field at ICBC resort on May, 29, 2008, the concrete floor (multiangle measurements) at ICBC resort on Jun. 3, 2008, the bare soil and the maize leaf in Yingke oasis maize field on Jun. 22, 2008, the maize and wheat canopy in Yingke oasis maize field on Jun. 23, 2008, the rape field in Biandukou experimental area on Jun. 24, 2008, the alfalfa, the saline land, the grassland and the barley land on Jun. 26, 2008, the wheat field and the maize field in Yingke oasis maize field on Jun. 29, 2008, the desert bare land and vegetation (Reaumuria soongorica) in No. 2 Huazhaiai desert plot on Jun. 30, 2008, the rape field and the grassland in Biandukou experimental area on Jul. 6, 2008, and the grassland and the bare land (multiangle) in A'rou experimental area on Jul. 14, 2008. The cold blackbody calibration (*.CBX/*.CBB), the warm blackbody calibration (*.WBX/*.WBB), the ground objects measurements (*.SAX), au-plating board measurements, and the downward atmospheric radiation (*.DWX) were all needed during observation. Moreover, the spectral radiance and emissivity were also archived. The response function of various bands could be acquired by 102F. And then emissivity of 2-25um could be retrieved. Two results of emissivity were developed: one was direct from 102F and the other was retrieved by ISSTES (Iterative spectrally smooth temperature-emissivity separation). Spectral resolution for raw data and proprecessed data was 4cm-1. (2) Spectral emissivity obtained from BOMAN at 2 -13μm in cooperation with the blackbody barrel and the blackbody from Institute of Remote Sensing Applications and the blackbody (BNU). The desert was measured on Jun. 30 and Jul. 1, 2008, A'rou foci experimental area on Jul. 14, 2008, indoor observations on the deep and shallow layer soil, vegetation, small stones, two maize plants from Yingke No.2 (YKYZYMD02) field and one maize plant and bare land from No. 3 (YKYZYMD03)field on on Jul. 16, 2008, Linze experimental area on Jul. 17, 2008, and gobi on Jul. 18, 2008. The sample site, coordinates, time and photos were all archived. During each observation, BOMAN was preheated and the blackbody was set at the predicted target temperature, which would be changed after the infrared radiation of the blackbody was measured by BOMAN. And then the target infrared radiation, the downward atmospheric radiation (reflected by the au-plating board) and the infrared radiation of the blackbody would be measured one by one. Raw data were archived in Igm, and after processed by FTSW500, the result was Rad (radiation). Finally, Rad would be changed into txt files by Matlab programs.
REN Huazhong, CHEN Ling, YAN Guangkuo, DU Yongming, LI Hua, LIU Yani, WANG Heshun, XIAO Qing, ZHOU Chunyan
The dataset of the discrimination of C3/C4 species was obtained by the handheld GPS and the digital camera in the Linze station foci experimental area on Jul. 10, 2008. Data fields included Gps, Longitude, Latitude, Photo_num and Describe (descriptions on C3/C4 vegetation and photos).
CHENG Zhanhui, Liu Liangyun
The dateset of spectral reflectance observations was obtained by ASD Fieldspec FRTM (Boulder, Co, USA, 350nm-2500nm, 3nm for the visible near-infrared band and 10nm for the shortwave infrared band) in the Biandukou foci experimental area from Mar. 7 to 21, 2008. Those provide reliable ground data for objects modelling and background modelling, remote sensing image simulation and scaling. Spectrum of dry and wet soil, the straw, the snow-covered land and the grassland was measured on Mar. 7 and the snow spectrum was measured on Mar. 21. The quadrates of 90m×90m and 450m×450m were compartmentalized into 81 subgrids of 10m×10m and 50m×50m. Based on the resolution of 30m×30m and 150m×150m, the influence of adjacent eight pixels on the center pixel was studied. Section lines of each subgrid were adopted to acquire the pixel spectrum, which were measured more than once for the mean value. The spectrum data were archived in the ASCII format, with the first five rows as the file header and the following two columns as wavelength (nm) and reflectance (percentage) respectively. Raw data were binary files direct from ASD (by ViewSpecPro).
CHANG Yan, QU Ying, LIANG Xingtao, LIU Zhigang, PENG Danqing, REN Huazhong
The dataset of water content of forest canopy components (the twig and the leaf) measurements was obtained at the super site (100m×100m) around the Dayekou Guantan forest station on Jun. 5, 2008. The sample tree was selected according to different diameters at breast height. 5 diameter classes were divided and in each class, 10 trees were selected and altogether 30 trees were selected as sampling trees. Branches in different parts were picked by the tree pruner and the twig and the leaf were separated manually, whose green weight was measured by the scales on the scene and dry weight by oven drying in the lab. Those provide reliable data for the reconstruction of the 3D structure of the forest scene, and for modelling active and passive remote sensing mechanisms and the simulation of remote sensing images.
BAI Lina, TIAN Xin, WANG Bengyu, CHEN Erxue
This data is the restoration of the distribution of the main ancient irrigation canals in the middle and upper reaches of the Heihe River Basin from the Ming Dynasty to the Republic of China. It is based on the basic data of reprinting ganzhenzhi, reconstructing the new records of Suzhou and ganzhoufu, and combined with the topographic map and image of the 1960s. It is provided in the form of ArcGIS software ShapeFile, GCS krasovsky 1940 coordinate system, and trans Mercator projection grid. The data type is linear vector, and its attributes include name, source, length, irrigation area, etc.
XIE Yaowen
"Heihe River Basin Ecological hydrological comprehensive atlas" is supported by the key project of Heihe River Basin Ecological hydrological process integration research. It aims at data arrangement and service of Heihe River Basin Ecological hydrological process integration research. The atlas will provide researchers with a comprehensive and detailed background introduction and basic data set of Heihe River Basin. The desert (sand land) and glacier map of Heihe River Basin is one of the land surface part of the atlas, with scale of 1:2500000, positive axis isometric conic projection and standard latitude of 25 47 n. Data source: Glacier distribution data of Heihe River Basin Based on the first glacial catalogue, desert (sand) distribution data of 1:100000 Heihe River Basin, road data of 2010 Heihe River Basin, administrative boundary data of 1 million Heihe River Basin in 2008, residential area data of 2009 Heihe River Basin, and 100000 river flow data in 2009.
WANG Jianhua, ZHAO Jun, WANG Xiaomin
A total of 137 soil samples of different vegetation types, different altitudes and different terrains were collected from June 2012 to August 2012. The soil layer of each sample point was divided into three layers of 0-10cm, 10-20cm and 20-30cm, with an altitude of 2700-3500m m. The vegetation types were divided into five types: Picea crassifolia forest, Sabina przewalskii, subalpine scrub meadow, grassland and dry grassland. At the same time of sampling, hand-held GPS is used to record the location information and environmental information of each sampling point, including longitude, latitude, altitude, slope, aspect, terrain curvature, vegetation type, soil thickness, maximum root depth, etc. Soil bulk density: The measurement method of soil bulk density is to put the sample into an envelope and dry it in an oven at 105℃ for 24 hours, then take it out and place it for 30 minutes to weigh. The ratio of the weighing result to the volume of the ring cutter is the soil bulk density, and the unit is g/cm3. Soil mechanical composition: hydrometer method is used to measure the soil mechanical composition, which includes the content of soil sand, silt and clay.
ZHAO Chuanyan, MA Wenying
Since October 2010, underground water depth observation logging is set at 50m, 300m, 2200m, 2700m, 3200m, 3700m and 4300m away from the river bank in the direction of vertical river channel near ulantuge, Ejina oasis at the lower reaches of Heihe River. The dynamic measurement is carried out with hobo automatic water level gauge. The measurement index is the underground water level (burial depth), and the data time scale is the monthly scale.
CHEN Yaning
The dataset of groundwater level observations was obtained by the measuring tape in the Linze station foci experimental area. Nine wells were selected in transit zone A, B and C, group 4 in Wulidun, Heihe river in Pingchuan, gobi in Yigongcheng, Wugongli, Linze station and the weather station. The first three were observed every day from May 23 to Jul. 21 and the other 6 were from Jun. 16 to Jul. 21, 2008.
TAN Junlei, Qian Jinbo, SONG Yi
The soil texture dataset of the Heihe River Basin (2011) is compiled by LIU Chao et al. (2011) by using the SOLIM model. Based on the famous Jenny equation of soil science, and according to the environmental factors such as climate, biology, topography and parent material, knowledge mining and fuzzy logic are combined on the basis of existing soil texture maps and soil profiles in Heihe River Basin. It is produced and integrated with thematic maps of glaciers and lakes. According to the different characteristics of the six ecological zones in Heihe River Basin, different mapping methods are used in the upper, middle and lower reaches. According to the different characteristics of six ecological zones in Heihe River Basin, different mapping methods are used in the upper, middle and lower reaches. The data is in grid format with 1KM spatial resolution and WGS-84 projection. Soil texture attributes and categories represent 0-30 cm topsoil texture attributes, derived from depth-weighted averages. The texname in the attribute table indicates the soil texture type name. Sandrange, siltrange, and clayrange respectively represent the sand, powder, and clay content ranges in the USDA soil triangle. Sandaverage, siltaverage and clayaverage are taken from the measured soil profiles, the average content of sand, silt and clay particles as the sand, silt and clay content of the soil type. (Note: The soil particle content of clay loam is derived from the soil quality map of Beijing Normal University). The soil texture classification standard is USDA, the sand grain size is defined as (2~0.05mm), the silt particle size is (0.05~0.002mm) and the clay size is defined as (<0.002mm).
LIU Chao
Heihe river basin is the second largest inland river basin in China. In the past 30 years, a relatively perfect drainage observation system has been established in heihe river basin, which has become an important inland river research base in China.River basin is an important natural research unit, but the boundary of heihe river basin is not unified. In order to facilitate the use of data by users, we collected and sorted out 5 kinds of heihe river basin boundaries commonly seen in the literature: 1) from 1985 to 1986, China began to conduct systematic research on the heihe river basin as a whole. On the basis of basic investigation and a large number of data mastered, the early heihe river basin map was drawn with an area of 138,900 km ^ 2.The whole basin is divided into three hydrologic balance zones, which are: the balance zone of heihe main stream system, the balance zone of beida river main stream system and the balance zone of ma ying - feng leshan front water system. 2) sub project national key scientific research project of the ninth five-year plan "in heihe river basin water resources reasonable use and the economic society and ecological environment coordinated development research", considering the integrity of the county-level administrative units, on the basis of the first basin boundary using the administrative boundary of basin boundary was revised, formed the "digital heihe" published information system (http://heihe.westgis.ac.cn) of the heihe river basin boundary, watershed area of 128700 km ^ 2.The division of hydrological unit inherits the original idea and is divided into three river systems, namely the eastern river system, the central river system and the western river system. 3) in the comprehensive control plan of heihe river basin of the ministry of water resources, the area of heihe river basin is determined as 142,900 km ^ 2, and the hydrologic unit is divided into two independent water systems in the central and western regions and the east, with an area of 27,000 km2 and 116,000 km ^ 2 respectively. 4) in 2002-2006 in the national integrated water resources planning, "the Yellow River" (piece of) integrated water resources planning working group in 2005, the establishment "the northwest rivers and water resources and its exploitation and utilization of investigation evaluation report, briefly, to the secondary and tertiary area as the unit of water resources, to complete a series of natural geography and social economy statistical tables, maps and other data.In this comprehensive plan, the area of heihe river basin is about 151,700 km ^ 2, and the plan does not give a more detailed sub-watershed division plan. 5) based on the high-precision digital elevation model (SRTM and ASTER GDEM), the boundary of heihe river basin was determined by using the GIS hydrologic analysis method.The boundary has been verified by remote sensing and field investigation, and the present situation of modern water resources utilization is considered in the process of basin boundary determination and sub-basin division.
WU Lizong, WANG Jianhua, NIAN Yanyun
1. Data overview: water footprint and virtual water trade of tertiary industry in gansu province in 1997, 2002 and 2007 2. Data content: input-output value flow statement of gansu province, input-output value flow statement of primary industry, secondary industry and tertiary industry of gansu province, water use data, water footprint and virtual water trade data 3. Spatial and temporal scope: data time is 1997, 2002 and 2007;The space scope is gansu province 4. Data description: The data in this part are mainly the socio-economic and regional water supply and consumption data of gansu province, including the following 5 documents: (1) table of input and output of gansu province. XLS: value flow table of input and output of gansu province in 1997, 2002 and 2007, raw data of social economy. (2) input and output table of gansu province. XLS: input and output table of primary industry, secondary industry and tertiary industry of gansu province in 1997, 2002 and 2007 (3) summary table of water use data. XLS: original water use data. (4) calculation results of gansu province. (5) description of virtual water trade data of gansu province. For detailed data description, please refer to "gansu province virtual water trade data description" word document.
LIU Junguo
In the middle of July, 2011, 1. Elaeagnus angustifolia, 2. Blister. Using Li-6400 portable photosynthesis system (li-cor, USA) and li-3100 leaf area meter, the photosynthetic physiological characteristics of desert plants were observed. The symbols in the observation data have the following meanings: Obs, number of observations;Photo, net photosynthetic rate, moles of CO2 times m minus 2 times s minus 1; Cond, stomatal conductance, mol H2O•m -- 2•s -- 1;Ci, intercellular CO2 concentration, moles of CO2 times mol-1; Trmmol, transpiration rate, mmol H2O•m -- 2•s -- 1;Vpdl, water vapor pressure deficit, kPa; Area, leaf Area, cm2;Tair, atmospheric temperature, ℃; Tleaf, leaf surface temperature, ℃;CO2R, CO2 concentration in the reference chamber, moles of CO2•mol-1; CO2S, sample chamber CO2 concentration, moles of CO2•mol-1;H2OR, water in the reference chamber, mmol H2O•mol-1; H2OS, sample chamber moisture, mmol H2O•mol-1;PARo, photon flux density, mole •m -- 2•s -- 1; Rh-r, reference room air relative humidity, %;Rh-s, relative humidity of air in sample room, %; PARi, photosynthetic effective radiation, moles •m -- 2•s -- 1;Press, atmospheric pressure, kPa; Others are the state parameters of the instrument at the time of measurement.
SU Peixi
From July 21 to September 2, 2012, the observation data of snowmelt water temperature and near surface temperature in hulugou small watershed were observed by hobo automatic temperature recorder, with the observation frequency of once / 15 minutes, and the near surface temperature recorder was 20cm away from the surface. The observation point 01 is an ice lake, which is formed by the permanent snow supply of Hunan slope. The lake is approximately triangular, and the long side trend is parallel to the slope foot, with the coordinates of 99 ° 53 ′ 11 ″ E and 38 ° 13 ′ 6 ″ n. The observation period is from July 21, 2012 to September 2, 2012. No.02 observation point is located under the ice lake, the source of the East tributary of hulugou, the foot of permanent snow slope and the lower edge of snow melting. The coordinates are 99 ° 53 ′ 12 ″ e, 38 ° 13 ′ 6 ″ n. The observation period is from July 21, 2012 to September 2, 2012. The distance between the two points is relatively close, and the near surface temperature is the uniform temperature, which is the near surface temperature of point 01.
CHANG Qixin
Data of field hydrogeological double-ring seepage test in 2012 in mamane mountain area, gansu province.The method adopted is the double ring method.Specific test process: fixed head water injection, observation record.According to the ring bottom ruler, keep the fixed head of water injection.Meanwhile, the injected water was observed according to the ruler on the injection plastic bucket, and the recorded time intervals were 5 minutes, 10 minutes, 20 minutes and 30 minutes respectively.Stable water seepage, that is, the completion of the experiment.The relevant permeability parameters are obtained according to darcy's law.
GUO Yonghai
From June 10, 2011 to September 2, 2011, the observation instrument of 3100m grassland weather station in Tianlaochi watershed of Qilian mountain was a 20cm evaporating pan, a round metal basin with a diameter of 20 cm and a height of 10 cm, and the mouth of the basin was blade-shaped. In order to prevent birds and animals from drinking water, a trumpet-shaped wire mesh ring was set on the upper part of the mouth of the vessel. During measurement, the instrument shall be placed on the shelf with the mouth 70cm from the ground, and quantitative clear water shall be put in every day. After 24 hours, the remaining water quantity shall be measured by the dosage cup, and the reduced water quantity shall be the evaporation capacity. Data are daily evaporation from June 10, 2011 to September 2, 2011.
ZHAO Chuanyan, MA Wenying
The data is the digitization of the Heihe River basin part of the 1:1 million Vegetation Atlas of China, 1:1000, 000 Vegetation Atlas of China is edited by academician Hou Xueyu, a famous vegetation ecologist (Hou Xueyu, 2001). It is jointly compiled by more than 250 experts from 53 units such as research institutes of Chinese Academy of Sciences, relevant ministries and commissions, relevant departments of various provinces and regions, colleges and universities. It is another summative achievement of vegetation ecologists in China over 40 years after the publication of monographs such as vegetation of China Basic map of natural resources and natural conditions of the family. It is based on the rich first-hand information accumulated by vegetation surveys carried out throughout the country over the past half century, and the materials obtained by modern technologies such as aerial remote sensing and satellite images, as well as the latest research achievements in geology, soil science and climatology. It reflects in detail the distribution of vegetation units of 11 vegetation type groups, 796 formations and sub formations of 54 vegetation types, horizontal and vertical zonal distribution laws, and also reflects the actual distribution of more than 2000 dominant species of plants, major crops and cash crops in China, as well as the close relationship between dominant species and soil and ground geology. The atlas is a kind of realistic vegetation map, reflecting the recent quality of vegetation in China.
HOU Xueyu
This data comes from the Tianlaochi watershed sample plot. The vegetation types of the sample plot are grassland, shrub, Sabina przewalskii and Picea crassifolia. The self-made Lysimeter is mainly used to observe the soil evapotranspiration characteristics in Picea crassifolia forestry. To provide basic data for the development of watershed evapotranspiration model. At about 19:00 every day, an electronic scale with an accuracy of 1g is used to weigh the inner barrel. In case of rain, observe whether there is leakage in the leakage barrel. If there is leakage, measure the leakage amount in the leakage barrel as well. The observation period in 2011 is from May 30 to September 10. The observation period in 2012 is from June 11 to September 10. Observation instrument: 1) standard 20cm diameter rain tube rain gauge. 2) self-made lysimeter (diameter 30.5cm, barrel height 28.5). 3) Electronic balance (accuracy: 0.1g) used to observe the weight change of self-made lysimeter.
ZHAO Chuanyan, MA Wenying
The observation frequency is 1 time / 30 minutes with hobo automatic temperature recorder. No. 01: the observation point is located at the exit of zone III divided by Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, and the boundary point between the cold desert zone and the cold meadow zone. The coordinates of the observation point (99 ° 53 ′ 37 ″ e, 38 ° 13 ′ 34 ″ n) are 100cm from the surface of the air temperature recorder. The observation period is from July 28 to September 2, 2012. No. 02: the observation point is located at the exit of No. 2 area divided by Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, where the terrain is gentle, at the outlet of the alluvial delta valley where there is no other tributary flowing in. The observation point coordinates (99 ° 52 ′ 58 ″ e, 38 ° 14 ′ 36 ″ n) the temperature recorder in the air is 120cm from the ground surface. The observation period is from July 4, 2012 to September 6, 2012
SUN Ziyong, CHANG Qixin
The data is a fisheye photo above the interception barrel of the Picea crassifolia plot in the Tianlaochi small watershed of Qilian Mountain. The plot has a latitude and longitude of 38.44N, 99.91E, and an altitude of 2793m. Photo DSC_0008——DSC_0097 corresponds to Fisheye photos above interception barrels 1 to 90 respectively. The camera is directly above the interception barrel and the lens is 1m above the ground. It is used to estimate the cover or LAI of Qinghai spruce forest, and the pictures are processed with Gap Light Analyzer software.
ZHAO Chuanyan, MA Wenying
China's administrative regions are basically divided into three levels: provinces (autonomous regions, municipalities directly under the central government), counties (autonomous counties, cities), townships (nationality townships, towns). In order to meet the needs of user statistics and cartography, we have published 1:1 million national administrative division data sets according to the national basic geographic information center. The administrative division data of Heihe River Basin were prepared. This data reflects the current situation of administrative divisions in Heihe River basin around 2008, including the information of provincial, regional and county-level administrative divisions. Its main attributes (such as area, code of administrative divisions, province (autonomous region), city (region, autonomous prefecture)) come from China's administrative divisions published in 2008.
WU Lizong
At the end of September and the beginning of October, 2011, a year-end ecological survey was carried out in heihe river basin for plants of different desert types to stop growing. There are altogether 8 survey and observation fields, which are: piedmont desert, piedmont gobi, middle reaches desert, middle reaches gobi, middle reaches desert, lower reaches desert, lower reaches gobi and lower reaches desert, with a size of 40m×40m. Three 20m×20m large quadrats were fixed in each observation field, named S1, S2 and S3, and regular shrub surveys were conducted.Each large quadrat was fixed with 4 5m x 5m small quadrats, named A, B, C, D, for the herbal survey.
SU Peixi
In mid-july 2011, photosynthetic organs (leaves or assimilating branches) of typical desert plants were collected and brought back to the laboratory in a liquid nitrogen tank for determination. The analysis indexes mainly include soluble protein unit: mg/g;Free amino acid unit: g/g;Chlorophyll content unit: mg/g;Superoxide dismutase (SOD) unit: U/g FW;Catalase (CAT) unit: U/(g•min);POD unit: U/(g•min);Proline (Pro) unit: g/g; Soluble sugar unit: g/g;Malondialdehyde (MDA) is given in moles per liter.
SU Peixi
This data set includes a monthly composite of 30 m × 30 m surface vegetation coverage products in the Qilian Mountain Area in 2019. In this paper, the maximum value composition (MVC) method is used to synthesize monthly NDVI products and calculate FVC by using the reflectance data of Landsat 8 and sentinel 2 red and near infrared channels. The data is monthly synthesized by Google Earth engine cloud platform, and the index is calculated by the model. The missing pixels are interpolated with good quality, which can be used in environmental change monitoring and other fields.
SUN Ziyong, CHANG Qixin
This data includes the accessibility of 15 kinds of public facilities and services, such as roads and schools, in the communities of 1280 households at domestic and abroad, as well as the farmers' satisfaction with these public facilities and public services by comparing that with 3 years ago and current status with neighboring village. This data is used to support the analysis of the material capital part of sustainable livelihood. The data was collected by the research group through field survey in 2019. Before collecting the data, the research group and invited experts conducted a pretest and improved the survey questionnaire; Before the formal investigation, the members participating in the data collection were strictly trained; In the formal survey, each questionnaire is checked three times before it is filed. This data is of great value for understanding the physical capital accessibility and satisfaction of rural households in environment-economic fragile areas, and is an important supplement to national and macro data.
XIE Yaowen
This data is used to restore the distribution of ancient settlements in Heihe River Basin from the Ming Dynasty to the Republic of China. The reconstruction is based on the re publication of ganzhenzhi, the re construction of new records of Suzhou and Ganzhou Prefecture and the county records of the Republic of China. At the same time, the spatial distribution data of ancient settlements in Heihe River Basin is reconstructed by combining the topographic map and remote sensing image in the 1960s. The data set includes spatial distribution data of ancient settlements in Ming, Qing and Republic of China.
XIE Yaowen
A small lysimeter was made by ourselves, which simulated the natural conditions and selected typical desert plants as the object to study the water consumption and its law. Repeat 3 times for each plant.
SU Peixi
In mid July 2011, the photosynthetic organs (leaf or assimilating branches) of typical desert plants were collected and determined by laboratory. The indicators include: leaf water potential, total leaf water content, relative water content, dry weight water content, leaf dry matter content, specific leaf area, specific leaf volume, free water, bound water, etc.
SU Peixi
This data is the water level data of 2011-2012, which is observed by water level recorder. From July 14 to September 9, 2011, the observation was recordered every five minutes; from June 4 to July 10, 2012, the observation was recordered every ten minutes. The data content is the temperature and atmospheric pressure inside the hole, and the data is the daily scale data. The data shall be opened with HOBO software.
ZHAO Chuanyan, MA Wenying
From May 25, 2012 to September 8, 2012, observation was made at 3100m grassland weather station in Tianlaochi watershed of Qilian mountain. The instrument was a 20cm evaporating dish, a round metal basin with a diameter of 20 cm and a height of 10 cm. The mouth of the basin was blade-shaped. In order to prevent birds and animals from drinking water, a trumpet-shaped wire mesh ring was sleeved on the upper part of the mouth. During measurement, the instrument shall be placed on the shelf with the mouth 70cm from the ground, and quantitative clear water shall be put in every day. After 24 hours, the remaining water quantity shall be measured by the dosage cup, and the reduced water quantity shall be the evaporation capacity. Data are daily evaporation from May 25, 2012 to September 8, 2012.
ZHAO Chuanyan, MA Wenying
This data includes three parts of data, namely shrub water holding experiment, shrub interception experiment and shrub transpiration experiment data. Shrub water holding experiment: select the two shrub types of Caragana jubata and Potentilla fruticosa, respectively pick the branches and leaves of the two vegetation types, weigh their fresh weight, carry out water holding experiment, measure the saturated weight of branches and leaves, dry weight of branches and leaves, dry weight of branches and leaves after completion, and finally obtain the data of branches, leaves and total water holding capacity. Shrub interception experiment: two shrubs, Caragana jubata and Potentilla fruticosa, were also selected and investigated. 30 rain-bearing cups were respectively arranged under the two shrubs. after each rainfall, penetration rainfall was measured and observed from June 1, 2012 to September 10, 2012. Shrub Transpiration Experiment: Potentilla fruticosa on July 14, Caragana jubata on August 5, Salix gilashanica on August 15, 2012. The measurement is made every hour according to the daily weather conditions.
ZHAO Chuanyan, MA Wenying
Five different altitude zones were selected for this test. Their altitude, latitude and longitude are 3650 meters above sea level, latitude and longitude 99°55'24 E, 38°24'60" N; altitude of 3550 meters, latitude and longitude 99°55'28 E, 38°25'11" N; 3450 meters above sea level, longitude and latitude 99°55'38 E, 38°25'68" N; 3350 meters above sea level, longitude and latitude 99°55'37 E, 38°25'11" N; 3050 meters above sea level, longitude and latitude 99°55'42 E, 38°25'54" N. From May 31 to August 31, 2011, in the case of natural rainfall, the total rainfall was measured once every ten days using a rain gauge on five samples. To compare the difference in rainfall at different altitudes, it is necessary to combine the rainfall data observed by the project at the grassland weather station in 2011.
ZHAO Chuanyan, MA Wenying
China 1:100000 data of land use is a major application in the Chinese Academy of Sciences "five-year" project "the national resources and environment remote sensing macroscopic investigation and study of dynamic organized 19 Chinese Academy of Sciences institute of remote sensing science and technology team, by means of satellite remote sensing, in three years based on Landsat MSS, TM and ETM remote sensing data established China 1:100000 images and vector of land use database.The main contents include: China 1:100,000 land use data;China 1:100,000 land use graph data and attribute data. The data was directly clipped from China's 1:100,000 land-use data.A hierarchical land cover classification system was adopted for the land use data of heihe basin of 1:100,000, and the whole basin was divided into 6 primary categories (arable land, forest land, grassland, water area, urban and rural areas, industrial and mining areas, residential land and unused land) and 26 secondary categories.The data type is vector polygon, which is stored in Shape format.There are two types of data projection: WGS84/ALBERS;Data coverage covers the new heihe watershed boundary (lack of outer Mongolia data). Land use classification attributes: The first class type and the second class type attributes encode the spatial distribution position Cultivated paddy field 113 is mainly distributed in alluvial plain, basin and valley Cultivated paddy field 112 distributed in hilly valley narrow valley platform or beach (with irrigation conditions) Cultivated paddy field 111 is mainly distributed in mountain valley narrow valley platform or beach (with better irrigation conditions) Arable land 124 is mainly distributed in mountainous areas, the slope is generally more than 25 degrees (belongs to the steep slope hanging land), should be returned to forest. Cultivated dry land 123 is mainly distributed in basins, piedmont belts, river alluvial, diluvial or lacustrine plains (water shortage and poor irrigation conditions). Cultivated dry land 122 is mainly distributed in hilly areas (shaanxi, gan, ning, qing).In general, the plot is distributed on gentle slopes and x and sockets of hills. Arable land 121 is mainly distributed in the mountainous area, with an elevation of 4000 meters below the slope (gentle slope, mountainside, steep slope platform, etc.) and mountain front belt. Woodlands have woodlands (trees) 21 mainly distributed in the mountains (below 4000 meters above sea level) or in the slope, valley two slopes, mountain tops, plains.In qinghai nanshan, qilian mountains are. Woodland shrub 22 is mainly distributed in the higher mountain areas (below 4500 m), most of the distribution of hillside and valley and sand. Forest dredging 23 mainly distributed in the mountains, hills, plains and sandy land, gobi (soil, gravel) edge. Other woodlands 24 are mainly distributed in the oasis ridge, river, roadside and rural residential areas around. Grassland 31 is generally distributed in mountainous areas (gentle slopes), hills (steep slopes) and interriver beaches, gobi desert, sandy hills, etc. The covered grassland 32 is mainly distributed in dry places (next door low-lying land and sandy hills, etc.). Grassland low cover grassland 33 mainly grows in drier places (loess hills and sandy edges). The river channel 41 is mainly distributed in the plain, the cultivated land between the rivers and the valleys in the mountains. Water lakes are mainly distributed in low-lying areas. The reservoirs are mainly distributed in the intermountain lowlands and intersandy hills in qinghai province. Water area glaciers and permanent snow 44 mainly distributed in the plain, the valley between the river, there are surrounding residents and arable land. Waters and beaches are mainly distributed on the top of (over 4000) mountains.
WANG Jianhua, LIU Jiyuan
The dataset of the automatic meteorological observations (2008-2009) was obtained at the Pailugou grassland station (E100°17'/N38°34', 2731m) in the Dayekou watershed, Zhangye city, Gansu province. The items included multilayer (1.5m and 3m) of the air temperature and air humidity, the wind speed (2.2m and 3.7m) and direction, the air pressure, precipitation, the global radiation, the net radiation, co2 (2.8m and 3.5m), the multilayer soil temperature (10cm, 20cm, 40cm, 60cm, 120cm and 160cm), soil moisture (10cm, 20cm, 40cm, 60cm, 120cm and 160cm), and soil heat flux (5cm, 10cm and 15cm). For more details, please refer to Readme file.
HUANG Guanghui, WU Lizong, Qu Yonghua, LI Hongxing, ZHOU Hongmin, Zhang Zhihui
The data is the monthly average spatial distribution of frozen soil in Heihe River Basin from 2000 to 2009. Based on the grid temperature data of Heihe River Basin from 2000 to 2009, the freezing and thawing state of surface soil is divided into three kinds: unfreezing state, incomplete freezing state and complete freezing state. Complete freezing means that the soil is completely frozen in the whole month. Incomplete freezing refers to soil freezing days ≤ 30 days but ≥ 1 day in a month, and the soil has freeze-thaw cycle. Non freezing means that the soil will not freeze this month. The data is in the form of grid, which can be opened in ArcGIS. 1 represents unfrozen state, 2 represents unfrozen state, 3 represents fully frozen state
PENG Xiaoqing, ZHANG Tingjun
This data includes the basic terrain data, soil data, meteorological data, land use / land cover data, etc. needed for SWAT model operation. All maps and relevant point coordinates (meteorological station, hydrological station) adopt the coordinate system of Gauss Kruger projection which is consistent with the basic topographic map of our country. Data content includes: a) The basic topographic data include DEM and river network. The size of DEM grid is 50 * 50m, and the drainage network is manually digitized from 1:100000 topographic map. b) Soil data: including soil physics, soil chemistry and spatial distribution of soil types. The scale of digital soil map is 1:1 million, which is converted into grid format of ESRI, with grid size of 50 * 50m. Each soil profile can be divided into up to 10 layers. The sampling index of soil texture required by the model adopts the American Standard. The parameters are from the second National Soil Census data and related literature. c) Meteorological data: (1) Temperature: the data of daily maximum temperature, daily minimum temperature, wind speed and relative humidity are from the daily observation data of Qilian, Shandan, tole, yeniugou and Zhangye meteorological stations in and around the basin, with the period from 1999 to 2001. (2) Precipitation: the rainfall data comes from five hydrological stations in and around the basin, i.e. OBO (1990-1996), Sunan (1990-2000), Qilian (1990-2000), Yingluoxia (1990-2000), zamashk (1990-2000), Shandan (1999-2001), tole (1999-2001), yeniugou (1999-2001), Zhangye (1999-2001) and Qilian County (1999-2001) Observation data. (3) Wind speed and relative humidity: wind speed and relative humidity come from the daily observation data of 5 meteorological stations in Shandan, tole, yeniugou, Zhangye and Qilian county. The period is from 1999 to 2001. (4) Solar radiation: solar radiation has no corresponding observation data and is generated by model simulation. d) Land use / land cover: 1995 land use data, scale 1:100000. Convert it to grid format of ESRI, with grid size of 50 * 50m. e) Meteorological data simulation tool (weather generator) database: the weather data simulation tool of SWAT model can simulate and calculate the daily meteorological input data required by the model operation according to the monthly statistical data for many years without the actual daily observation data, and can also carry out the interpolation of incomplete observation data. The meteorological data are from the surrounding meteorological stations.
NAN Zhuotong
1. Data overview: this data is the blue and green water data of Heihe River Basin simulated by SWAT model; 2. Data content: data mainly includes blue-green water and green water coefficient of the whole basin and each sub Basin; 3. Spatial and temporal scope: the data time is from 1975 to 2004, and the spatial scope includes 34 sub basins and the whole Heihe River Basin; 4. Data file: the relevant data is placed in the Swat folder, including the sub_basin folder (sub basin distribution map), "blue and green water of the whole Heihe River Basin" folder and "blue and green water of each hydrological response unit of the Heihe River Basin" folder.
LIU Junguo
Data overview: This set of data mainly includes perennial River, seasonal river, river trunk, surface main channel, surface branch channel and other water system conditions in the Heihe River Basin. The data base year is 2009. Data preparation process: obtained from 1:100000 topographic map and 2009 TM remote sensing image digitization. Data content description: the data mainly has three important attributes, namely, grade, GB and name. The river classification is based on the Strahler classification method, and the final level of the main stream reaches seven levels. River coding is based on the national basic geographic information element dictionary. The standard of basic geographic information element data dictionary is adopted.
National Basic Geographic Information Center
The data are from 2011 to 2012. A 30m×30m Picea crassifolia canopy interception sample plot was set up in the Picea crassifolia sample plot at an altitude of 2800m m. A siphon raingauge model DSJ2 (Tianjin Meteorological Instrument Factory) was set up on the open land of the river about 50m from the sample plot to observe the rainfall outside the forest and its characteristics. Penetrating rain in the forest adopts a combination of manual observation and automatic observation. Automatic observation is mainly realized through a penetrating rain collection system arranged in the interception sample plot, which consists of a water collecting tank and an automatic recorder. Two 400cm×20cm water collecting tanks are connected with DSJ2 siphon rain gauge, and the change characteristics of penetrating rain under the forest are continuously recorded by an automatic recorder. Due to the spatial variability of the canopy structure of Picea crassifolia forest in the sample plot, a standard rainfall tube for manual observation is also arranged in the sample plot to observe the penetrating rain in the forest. Ninety rainfall tubes with a diameter of 20cm are arranged in the sample plot at intervals of 3m. After each precipitation event ends and the penetrating rain in the forest stops, the amount of water in the rain barrel will be emptied and the penetrating rain in the barrel will be measured with the rain cup.
ZHAO Chuanyan, MA Wenying
In 2000, the population grid data of Heihe River Basin was generated based on 1:100000 land use data and population statistics data of each county in 2000. Using principal component analysis and factor analysis, four factors are extracted from 11 regionalization indexes, and the Heihe River Basin is divided into four population distribution characteristic regions by using factor scores for hierarchical clustering. The linear regression model between rural residential land, cultivated land area and rural population is established based on the population statistical data of each county in 2000. The total population of each district and county is controlled. The population coefficient is adjusted according to the principle of different population distribution characteristics. The cultivated land population distribution coefficient is modified in the middle green continent, and the grassland population distribution is increased in the upstream mountainous area and the downstream desert oasis area Coefficient. The spatial distribution of urban population density in river basin is simulated by using the exponential model. Based on the above methods, the population spatial distribution results of 25m grid in Heihe River Basin and the data of 1km grid on scale are finally obtained. At the township level, the accuracy of the results of population spatialization is verified, and compared with the population data of Heihe River Basin estimated by the existing databases (GPW 1995, UNEP / grid1995, landscan 2002 and cn2000pop). The results show that the methods and models used in this study can obtain more accurate spatial distribution data of population in the basin.
WANG Xuemei, MA Mingguo
This data is based on the 1:50,000 and 1:100,000 base maps of hexi and ejin by lanzhou institute of desert research, Chinese academy of sciences, and compiled by supplementary investigation.(1) land type map of zhangye region of gansu province and alashan right banner of Inner Mongolia (Chen longheng, 1:250,000);(2) soil map of beidahe river basin (li fuxing, Yang constituent system, 1:100,000);(3) land type map of ejin banner delta in Inner Mongolia (ejin banner delta research team, lanzhou desert research institute, Chinese academy of sciences, 1:250,000).The drawing USES the basic map data, the field route investigation mainly, the aerial photograph, the guardian photograph interpretation combination method.This chart by li fuxing, qiu baoming compilation, zhang ziyu participated in the work;Drawing for peng shilong, wang xizhang, guo yingsheng.The soil classification research group of nanjing institute of soil research, Chinese academy of sciences and li jin provided the classification and mapping specifications.According to the Chinese soil classification system and the field conditions, the soil in heihe river basin is divided into 8 soil classes, 12 subclasses, 23 soil classes and 60 subclasses.Its purpose is to reflect the main soil types, combinations and distribution rules of the region, and reflect the regional characteristics of the soil, comprehensively demonstrate the generalization of soil resources, and provide the basic scientific basis for the estimation and evaluation of the quantity and quality of land resources, the rational utilization of land resources and the rational redistribution of water resources basins.See attachment for soil data type attributes.
LI Fuxing, LIU Chao
This data set includes the blue and green water monthly evapotranspiration of the main crops in the Heihe River Basin from 2004 to 2006, and the blue and green water footprints of the main departments in the Heihe River Basin. Data file description: This data set mainly includes the water footprint related data of Heihe River Basin, including the following three documents: (1) The data table of crop evapotranspiration ﹣ CROPWAT model is the monthly blue and green water evapotranspiration and water footprint data of main crops in Heihe River Basin simulated by CROPWAT model. (2) Heihe River footprint data table is the water footprint data of agricultural products (including crops and livestock products), industrial sector and living sector in Heihe River Basin. (3) Water footprint data description file is used to specifically explain the contents and terms in the data table. For detailed data description, please refer to the word document "water footprint data description".
LIU Junguo
"Heihe River Basin Ecological hydrological comprehensive atlas" is supported by the key project of Heihe River Basin Ecological hydrological process integration research. It aims at data arrangement and service of Heihe River Basin Ecological hydrological process integration research. The atlas will provide researchers with a comprehensive and detailed background introduction and basic data set of Heihe River Basin. The topographic map of Heihe River Basin is one of the basic geographic part of the atlas, with a scale of 1:2500000, positive axis isometric conic projection, and a shading map made of 90m SRTM DEM data. Data source: 90 m SRTM DEM, 1 million administrative data of Heihe River Basin in 2008, road distribution data of Heihe River Basin in 2010, residential area distribution data in 2009, and 100000 River distribution data in 2009.
WANG Jianhua, ZHAO Jun, WANG Xiaomin
1 km land cover map of heihe river basin is ran youhua et al. (2009;2011) develop a subset of China's 1 km land cover map (MICLCover) incorporating multi-source local information.The MICLCover land cover map adopts the IGBP land cover classification system, based on the evidence theory, which integrates the 1:100,000 land use data of China in 2000, the vegetation pattern of China vegetation atlas (1:100,000), the 1:100,000 glacier distribution map of China, the 1:100,000 swamp wetland map of China and the land cover product of MODIS in 2001 (MOD12Q1).The verification results of MICLCover showed that the overall consistency of MICLCover and China's land use map reached 88.84% on the level of 7 categories. Among them, the consistency of cultivated land, city, wetland and water type reached more than 95%.Through visual comparison with the land cover data product of MODIS2001 and IGBPDISCover land cover map in three typical areas, MICLCover keeps the overall accuracy of China's land use map and increases the leaf attribute and leaf shape information of China's vegetation map, while reflecting more detailed local land cover details.Using the national forest resources survey data, the verification results in gansu, yunnan, zhejiang, heilongjiang and jilin provinces showed that the accuracy of forest types of MICLCover was significantly improved compared with that of MODIS land cover products.The forest type of MICLCover was verified with the forest resource survey data of qilian mountain national nature reserve administration of gansu province. The results showed that the accuracy of MICLCover forest type in this area was 82.94%. Anyhow, MICLCover land cover map while maintaining the overall precision of the Chinese land use data condition, supplement the vegetation map of China on vegetation types and vegetation season phase information, update the Chinese wetland figure, Chinese ice figure the latest information, the accuracy of China's land cover data is greatly improved, more general classification system, the data can provide higher precision for land surface process model of land cover information.
RAN Youhua, LI Xin
"Heihe River Basin Ecological hydrological comprehensive atlas" is supported by the key project of Heihe River Basin Ecological hydrological process integration research. It aims at data arrangement and service of Heihe River Basin Ecological hydrological process integration research. The atlas will provide researchers with a comprehensive and detailed background introduction and basic data set of Heihe River Basin. The vegetation type map of Heihe River Basin is one of the land surface part of the atlas, with scale of 1:2500000, positive axis equal conic projection and standard latitude of 25 47 n. Data sources: 1:1 million vegetation type map of Heihe River Basin, road data of Heihe River Basin in 2010, administrative boundary data of Heihe River Basin in 2008, residential area data of Heihe River Basin in 2009, and 100000 river data of 2009.
WANG Jianhua, ZHAO Jun, WANG Xiaomin
"Heihe River Basin Ecological hydrological comprehensive atlas" is supported by the key project of Heihe River Basin Ecological hydrological process integration research. It aims at data arrangement and service of Heihe River Basin Ecological hydrological process integration research. The atlas will provide researchers with a comprehensive and detailed background introduction and basic data set of Heihe River Basin. The soil quality map of Heihe River Basin is one of the atlas of land surface, with scale of 1:2500000, positive axis and equal volume conic projection, and standard latitude of 25 47 n. Data sources: soil texture data of Heihe River Basin, road data of Heihe River Basin in 2010, administrative boundary data of one million Heihe River Basin in 2008, residential area data of Heihe River Basin in 2009 and 100000 river data of 2009.
WANG Jianhua, ZHAO Jun, WANG Xiaomin
The source data of this data set comes from the 1:1 million soil map of China (Shi et al., 2004) and 8595 soil sections in the second Soil Census. The polygonal connection method is used to connect the soil profile with the soil map to obtain the soil sand, silt and clay content map. The distance between the profile and the map spot, the number of soil profiles and the information of soil classification are taken into account. Please refer to related papers and web pages for specific instructions. Data characteristics Projection: GCS_Krasovsky_1940 Coverage: Heihe River Basin Resolution: 0.00833 degrees (about one kilometer) Data format: FLT, tiff Value range: 0% - 100% Document description Floating point grid files include: Sand1.flt, clay1.flt - content of sand and clay in the surface layer (0-30cm). Sand2.flt, clay2.flt - sand and clay content in the bottom layer (30-100cm). Psd.hdr – header file: Ncols - number of columns Nrows - number of rows Xllcorner - lower left latitude Yllcorner - lower left longitude Cellsize - cell size NoData_Value – null byteorder - LSBFIRST, Least Significant Bit First TIFF grid files include: Sand 1.tif, clay 1.tif - the content of sand and clay in the surface layer (0-30cm). Sand 2.tif, clay 2.tif - sand and clay content in the bottom layer (30-100cm). For data details, please refer to: http://globalchange.bnu.edu.cn/research/soil
SHANGGUAN Wei, DAI Yongjiu
"Heihe River Basin Ecological hydrological comprehensive atlas" is supported by the key project of Heihe River Basin Ecological hydrological process integration research. It aims at data arrangement and service of Heihe River Basin Ecological hydrological process integration research. The atlas will provide researchers with a comprehensive and detailed background introduction and basic data set of Heihe River Basin. The administrative division map of the Heihe river basin is one of the basic geographic sections of the atlas, with the scale of 1:2500000, the normal axis equal product conic projection, and the standard latitude line: north latitude: 25 47. Data source: 1 million administrative boundary data of Heihe River Basin in 2008, road data of Heihe River Basin in 2010, residential area data of Heihe River Basin in 2009, and 100000 river data of 2009.
WANG Jianhua, ZHAO Jun, WANG Xiaomin
"Heihe River Basin Ecological hydrological comprehensive atlas" is supported by the key project of Heihe River Basin Ecological hydrological process integration research. It aims at data arrangement and service of Heihe River Basin Ecological hydrological process integration research. The atlas will provide researchers with a comprehensive and detailed background introduction and basic data set of Heihe River Basin. The boundary map of the Heihe River Basin in 1985 is one of the basic geographic part of the atlas, with the scale of 1:2500000, the positive axis equal product conic projection, and the standard latitude of 25 47. Data sources: boundary data of Heihe River Basin in 1985, road data of Heihe River Basin in 2010, administrative boundary data of one million Heihe River Basin in 2008, residential area data of Heihe River Basin in 2009 and 100000 river data of 2009.
WANG Jianhua, ZHAO Jun, WANG Xiaomin
"Heihe River Basin Ecological hydrological comprehensive atlas" is supported by the key project of Heihe River Basin Ecological hydrological process integration research. It aims at data arrangement and service of Heihe River Basin Ecological hydrological process integration research. The atlas will provide researchers with a comprehensive and detailed background introduction and basic data set of Heihe River Basin. The industrial and mineral resources map of Heihe River Basin is one of the chapters of social economy, with a scale of 1:2500000, positive axis and equal volume conic projection, and standard latitude of 2547 n. Data sources: social and economic data of Heihe River Basin, administrative boundary data of one million Heihe River Basin in 2008, residential area data of Heihe River Basin in 2009.
WANG Jianhua, ZHAO Jun, WANG Xiaomin
Interaction "heihe region in field observation experiment (HEIFE)", is in the heihe river basin in hexi corridor in the middle of a 70 km by 90 km range of experimental zone for the center with water and heat exchange of a very comprehensive experiment, the interaction is the current international field the longest continuous observation on the land surface process experiment, has obtained the Eurasia hinterland typical in heihe river basin, gobi desert and oasis in arid regions different underlaying surface, such as solar radiation, atmospheric boundary layer meteorological data and oasis of meteorological data, and collect the conventional meteorological and hydrological data in the region,It has laid the foundation of observation experiment for theoretical study of land surface processes in arid areas. The heihe experimental database (HDB) (tao zehong and zuo hongchao, 1994a) comprehensively collected and systematically integrated the field observation data of heihe experiment.In the database, all observation data are divided into three categories according to the nature and purpose of observation: Category 1: normal observation period (FOP) data.It includes :(1) observation data of 5 micrometeorological stations and 5 automatic meteorological stations;(2) groundwater level data observed at four well stations;(3) distribution of blowing sand and dust and ozone observation data;(4) conventional observation data of 3 upper-air weather stations, 3 surface weather stations, 4 hydrology stations, some rain measuring stations and downhole water stations. The second category: enhanced observation period (IOP) data.It includes: observations of turbulence, tethered balloons, Sodar, Lidar, soil moisture content and composition during each strengthening period (PlOP, IOP-1, lop-2, IOP-3, IOP-4). The third category is special observation period data, which includes: biological meteorological observation (BOP), precipitation mechanism observation (iop-r) in arid areas, turbulence contrast observation (iop-c), supplementary observation data of deserts far from the oasis (iop-da) and observation data of sand sample experiment.Please refer to HEIFE database user manual for more detailed information (tao zehong et al., 1994b).
LI Xin, RAN Youhua
The data comes from the Harmonized World Soil Database (HWSD) constructed by the Food and Agriculture Organization of the United Nations (FAO) and International Institute for Applied System Analysis in Vienna (IIASA), which released version 1.1 on March 26, 2009. The data resolution is 1 km. The data source in China is 1: 1 million soil data. The soil classification system used is mainly FAO-90. The main fields of the soil property sheet include: SU_SYM90 (name of soil in FAO90 soil classification system) SU_SYM85 (FAO85 classification) T_TEXTURE (top soil texture) DRAINAGE (19.5); ROOTS: String (depth classification to the bottom of the soil with obstacles); SWR: String (characteristics of soil water content); ADD_PROP: Real (specific soil type in the soil unit related to agricultural use); T_GRAVEL: Real (gravel volume percentage); T_SAND: Real (sand content); T_SILT: Real (silt content); T_CLAY: Real (clay content); T_USDA_TEX: Real (USDA Soil Texture Classification); T_REF_BULK: Real (soil bulk density); T_OC: Real (organic carbon content); T_PH_H2O: Real (pH) T_CEC_CLAY: Real (cation exchange capacity of the sticky layer soil); T_CEC_SOIL: Real (soil cation exchange capacity) T_BS: Real (basic saturation); T_TEB: Real (exchangeable base); T_CACO3: Real (carbonate or lime content) T_CASO4: Real (sulfate content); T_ESP: Real (exchangeable sodium salt); T_ECE: Real (conductivity). The attribute field at the beginning of T_ indicates the upper soil attribute (0-30 cm), and the attribute field at the beginning of S_ indicates the lower layer soil attribute (30-100 cm) (FAO 2009). This data provides model input parameters for Earth system modelers, and in agricultural perspective, it can be used to study eco-agricultural divisions, food security, and climate change.
Food and Agriculture Organization of the United Nations（FAO）
"Heihe River Basin Ecological hydrological comprehensive atlas" is supported by the key project of Heihe River Basin Ecological hydrological process integration research. It aims at data arrangement and service of Heihe River Basin Ecological hydrological process integration research. The atlas will provide researchers with a comprehensive and detailed background introduction and basic data set of Heihe River Basin. The boundary map of the Heihe River Basin in 2010 is one of the basic geographic part of the atlas, with a scale of 1:2500000, positive axis equal product conic projection and standard latitude of 25 47。 Data sources: 2010 Heihe River basin boundary data, 2010 Heihe River Basin road data, 2008 1 million Heihe River basin administrative boundary data, 2009 Heihe River Basin residential area data, 2009 100000 river data
WANG Jianhua, ZHAO Jun, WANG Xiaomin
The “Eco-Hydro Integrated Atlas of Heihe River Basin” is supported by the Synthetic Research on the Eco-hydrological Process of the Heihe River Basin– a key project to provide data collation and service for the Heihe River Basin eco-hydrological process integration study. This atlas will provide researchers with a comprehensive and detailed introduction to the Heihe River Basin background and basic data sets. The 1:100,000 topographic framing index of the Heihe River Basin is one of the basic geographs of the atlas, with a scale of 1:2500000, Lambert conformal conic projection, and a standard latitude: north latitude 25 47 . Data source: 1:100000 topographic map index data, Heihe River boundary.
ZHAO Jun, WANG Jianhua
"Heihe River Basin Ecological hydrological comprehensive atlas" is supported by the key project of Heihe River Basin Ecological hydrological process integration research. It aims at data arrangement and service of Heihe River Basin Ecological hydrological process integration research. The atlas will provide researchers with a comprehensive and detailed background introduction and basic data set of Heihe River Basin. The boundary map of Heihe River Basin in 1995 is one of the basic geographic part of atlas, with scale of 1:2500000, positive axis and equal product conic projection, and standard latitude of 25 47. Data sources: 1995 Heihe River basin boundary data, 2010 Heihe River Basin road data, 2008 1 million Heihe River basin administrative boundary data, 2009 Heihe River Basin residential area data, 2009 100000 river data.
WANG Jianhua, ZHAO Jun, WANG Xiaomin
"Heihe River Basin Ecological hydrological comprehensive atlas" is supported by the key project of Heihe River Basin Ecological hydrological process integration research. It aims at data arrangement and service of Heihe River Basin Ecological hydrological process integration research. The atlas will provide researchers with a comprehensive and detailed background introduction and basic data set of Heihe River Basin. The location map of Heihe River Basin in the whole country is one of the basic geographic chapters of atlas, with a scale of 1:2500000, positive axis isometric conic projection and standard latitude of 25 47 n. Data sources: 1:250000 China administrative division data, 1:250000 main rivers and lakes data, and Heihe River basin boundary data.
WANG Jianhua, ZHAO Jun, WANG Xiaomin
This data mainly includes the distribution of city, county, township and village level residential areas in the Heihe River Basin, and the data base year is 2009. The data is based on the existing data of residential areas in Heihe River Basin, the latest Google electronic map and the atlas of Gansu Province. There are two main attributes of the data, i.e. residential area classification and total name. The residential area classification is classified according to level 1 - City, level 2 - County, level 3 - Township and level 4 - village.
National Basic Geographic Information Center
"Heihe River Basin Ecological hydrological comprehensive atlas" is supported by the key project of Heihe River Basin Ecological hydrological process integration research. It aims at data arrangement and service of Heihe River Basin Ecological hydrological process integration research. The atlas will provide researchers with a comprehensive and detailed background introduction and basic data set of Heihe River Basin. The land cover map of Heihe River Basin is one of the land surface layers in the atlas, with a scale of 1:2500000, positive axis and equal volume conic projection, and standard latitude of 25 47 n. Data source: land cover data of Heihe River Basin in 2000, road data of Heihe River Basin in 2010, administrative boundary data of one million Heihe River Basin in 2008, residential area data of Heihe River Basin in 2009 and 100000 river data of 2009.
WANG Jianhua, ZHAO Jun, WANG Xiaomin
Data overview: from September 23 to September 30, 2005 and from November 5 to November 9, 2005, the remote sensing Office of hanhanyuan Institute of Chinese Academy of Sciences measured 21 hydrological sections between Yingluoxia hydrological station and zhengzhengxia hydrological station in the middle reaches of Heihe River. Data acquisition process: using two sets of zhonghaida hd8080 GPS receivers and one set of DS3 level of Southern surveying and mapping company, combining GPS and leveling. Section survey mainly includes two steps. Firstly, two differential GPS are used to select high-precision control points on both sides of the river bank or on one side of the selected section, and two GPS receivers are used to observe for 30 minutes simultaneously. Then, on the basis of these control points, the level is used for continuous measurement of the section. According to the river width, a certain number of sounding plumb lines are arranged on the section to measure the water depth and the starting point distance of each sounding plumb line. The measuring points are relatively dense in the main channel part, and the beach is relatively sparse. The distance between the two points of the main channel part is 2m. This data can provide the key basic data for the hydrological simulation of surface groundwater in the middle reaches of Heihe River.
MA Mingguo
"Heihe River Basin Ecological hydrological comprehensive atlas" is supported by the key project of Heihe River Basin Ecological hydrological process integration research. It aims at data arrangement and service of Heihe River Basin Ecological hydrological process integration research. The atlas will provide researchers with a comprehensive and detailed background introduction and basic data set of Heihe River Basin. The boundary map of Heihe River Basin in 2005 is one of the basic geographic part of atlas, with scale of 1:2500000, positive axis and equal product conic projection, and standard latitude of 25 47。 Data sources: 2005 Heihe River basin boundary data, 2010 Heihe River Basin road data, 2008 1 million Heihe River basin administrative boundary data, 2009 Heihe River Basin residential area data, 2009 100000 river data.
ZHAO Jun, WANG Xiaomin
"Heihe River Basin Ecological hydrological comprehensive atlas" is supported by the key project of Heihe River Basin Ecological hydrological process integration research. It aims at data arrangement and service of Heihe River Basin Ecological hydrological process integration research. The atlas will provide researchers with a comprehensive and detailed background introduction and basic data set of Heihe River Basin. The TM image index map of Heihe River Basin is one of the basic geographic part of atlas, with a scale of 1:2500000, positive axis equal product conic projection and standard latitude of 25 47 N. Data source: TM image index data, Heihe River basin boundary.
ZHAO Jun, WANG Xiaomin
The annual total net primary productivity (NPP) and average productivity of different ecosystems in heihe river basin from 1998 to 2002 were estimated by using the light energy utilization model c-fix, high spatial and temporal resolution remote sensing data of SPOT/VEGETATION, global grid meteorological reanalysis data and land use map of heihe river basin. From 1998 to 2002, the 10-day 1-km resolution SPOT VEGETATATION NDVI (10-day maximum synthesis) data product in the heihe basin, provided by the image processing and archiving center (CTIV) of VITO institute, Belgium, was used to calculate the key parameters fAPAR required by the c-fix model. The daily temperature and total radiation of heihe river basin from 1998 to 2002 were obtained using a global 1.5 °× 1.5 ° grid meteorological data product from MeteoFrance. It contains the spatial distribution pattern of annual accumulation of NPP in heihe basin and the seasonal dynamic map of NPP.The spatial resolution of this data is 1km.
LU Ling
SRTM (Shuttle Radar Topography Mission) is by NASA and the national geospatial intelligence agency (NGA) cooperation to build the global 3 d graphics data project.In February 2000, the SRTM system mounted on the U.S. space shuttle endeavour collected radar image data between latitude 60 ° north and latitude 57 ° south, and acquired radar image data covering more than 80% of the world's land surface.After more than two years of processing, the digital terrain elevation model was made. This data set including the heihe river basin SRTM points picture and Mosaic two kinds of data, and the points of the graph is SRTM version 4 data by the CGIAR - CSI (international centre for tropical agriculture, http://srtm.csi.cgiar.org/) treatment, compared with the previous version has greatly improved, including: 1) use a lot of interpolation algorithm, 2) use more auxiliary DEM data to fill the blank spots and blank area, 3) compared with the third version of the data and migration half a yuan.The Mosaic map is obtained by splicing on the basis of sub-map. The sub-charts include srtm_56_04,srtm_56_05,srtm_57_04 and srtm_57_054. The data are 16 bit values representing the elevation value (-/+/32767 m). The maximum positive elevation is 9000 m and the maximum negative elevation is 12,000 m below sea level.Null data is identified by -32767.Divide the file into 24 rows (-60 to 60 degrees) and 72 columns (-180 to 180 degrees) per 5 latitude and longitude squares.
TYLER B. STEVENS
"Heihe River Basin Ecological hydrological comprehensive atlas" is supported by the key project of Heihe River Basin Ecological hydrological process integration research. It aims at data arrangement and service of Heihe River Basin Ecological hydrological process integration research. The atlas will provide researchers with a comprehensive and detailed background introduction and basic data set of Heihe River Basin. The industrial structure map of Heihe River Basin is one of the social and economic chapters in the atlas, with a scale of 1:2500000, positive axis and equal product conic projection, and standard latitude of 25 47 n. Data sources: social and economic data of Heihe River Basin, road data of Heihe River Basin in 2010, administrative boundary data of one million Heihe River Basin in 2008, residential area data of Heihe River Basin in 2009, and 100000 river data of 2009.
WANG Jianhua, ZHAO Jun, WANG Xiaomin
This data set comes from the Land use data of Zhangye city in 2005 completed by YAN Changzhen and others from Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences. The data was generated by manual interpretation based on Landsat TM and ETM remote sensing data around 2005. This data uses a hierarchical land cover classification system. There are six first-class classifications (cultivated land, woodland, grassland, waters, urban and rural areas, industrial and mining, residential land and unused land), and 25 second-class classifications covering five counties and one district of Zhangye City, Gansu Province. The land use classification criteria used by the Chinese Academy of Sciences since 1986 are adopted in this data. The data type is vector polygon, stored in Shape format, and the data range covers Zhangye City.
YAN Changzhen
On August 6, 2004, the institute of cold and drought, Chinese academy of sciences, organized a remote sensing experiment in the upper reaches of the heihe river basin, which obtained soil survey data of 14 sections, DEM of 1:500 scale in the drainage ditch basin, spectral data of typical features and synchronous ground observation data of dapingding TM and QuickBird satellite.It mainly includes: 1) spectral measurement data of typical ground objects The data mainly includes in continental river basin in linze county comprehensive research station near the station (hereinafter referred to as linze) of elaeagnus angustifolia, two poplars, tamarisk, bark, ephedra, sand, alfalfa, corn, cotton and salinization land spectra and dew ditch valley concept-people mei, grass, moss, alpine meadow grass, sword leaf thorns son, the spectra of soil and rock. 2) soil profile survey data Valley in line according to the altitude and vegetation types were set up 12 soil profile, and also in front of the row of dew ditch forest weather stations and linze weather station set up a soil profile 1, 14 were measured profile of soil moisture content, bulk density, adhering sand content and soil spectrum, dew ditch forest top weather stations and linze profile is measuring the thermal conductivity of soil and water parameters. 3) field measurement data of biophysical parameters of typical ground objects Standing near the corn, cotton, including linze small pine, alfalfa, and leaf area index measurement data of ephedra row dew in different heights with leaf photosynthesis, leaf area index data and vegetation features data (photosynthetic rate, stomatal conductance, intercellular CO2 concentration, leaf transpiration rate, leaf temperature) and the corresponding environmental factor data (air temperature, air relative humidity and atmospheric CO2 concentration, air, water content, atmospheric pressure, solar total radiation, photosynthetic active radiation). 4) ground synchronization test of remote sensing by large flat-topped satellite The simultaneous observation experiment of TM and QuickBird satellite was carried out in a relatively flat grass area (big flat roof) beside the drainage ditch watershed.On July 27, 2004, spectra, above-ground biomass and leaf area were measured at intervals of 15 meters in a 150m×150m quadrangular at a large flat roof.
LI Xin, RAN Youhua, HUANG Chunlin, QI Yuan, LU Ling, LI Jing, JING Zhefang, PENG Hongchun, Li Haiying, WANG Shugong
This data was compiled by Qiu Baoming, Gao Qianzhao, Peng Qilong, etc. of Lanzhou Desert Research Institute, Chinese Academy of Sciences, and published by Xi'an map publishing house in 1988 (Qiu Baoming, etc., 1988). The grassland is mainly divided into eleven categories: swamp grassland, low humidity grassland, plain desert grassland, plain semi desert grassland, desert riverside sparse forest shrub grassland, mountain desert grassland, mountain semi desert grassland, mountain grassland grassland, mountain meadow grassland, mountain meadow grassland, mountain shrub meadow grassland and ancillary grassland. Property fields include: Grassland code, type, and subclass.
Chou Baoming, Peng Qilong, Gao Qianzhao
Vegetation functional type (PFT) is the combination of large plant species according to the ecosystem function of plant species and the way of resource utilization. Each plant functional type shares similar plant properties, which simplifies the diversity of plant species to the diversity of plant function and structure.Vegetation functional types have been used in the dynamic global vegetation model (DGVM) to predict changes in ecosystem structure and function under global change scenarios.The 1km vegetation functional pattern map of heihe basin is based on the 1km land cover map of heihe basin (MICLCover subset of heihe basin), and is divided by using the vegetation functional climate rules proposed by Bonan et al. (2002).The climate data utilize the 0.1 degree atmospheric drive data of he jie and Yang kun, developing China region from 1981 to 2008.This map can be used in the land surface process model of heihe river basin.
RAN Youhua
一. Data overview In the heihe river basin simulation model development and environment construction of cross integration research, project support, ren-sheng Chen (RReDC) in the center of the renewable energy data provided by the model, on the basis of considering the data of heihe river and other radiation model parameterization scheme, by 1 km resolution DEM, heihe surface weather observation data and NECP reanalysis data, the preparation of total radiation, direct radiation and scattering radiation three data sets. 二, data processing process 1) data source Watershed basic data mainly include DEM data, as well as slope and slope direction data generated thereby.The model adopts Alberts equal area conic projection), the grid size is 1km*1km, a total of 411×562 grids, that is, the actual calculated area is about 23*10^4 km^2.The calculated year is 2002, and the temporal resolution is 1h. Two sets of NCEP/NCAR reanalysis data were used, one set was instantaneous data of 1°*1° per 6h, mainly ozone and precipitable data.The other set is based on the assimilation data of 4 times a day of 192*94 grid (which is the average value per 6h), mainly the data of total cloud cover and precipitation rate.The main reason for applying the two sets of data is that the total cloud cover changes dramatically with time, and the instantaneous data cannot control the overall change of the weather.However, it is impossible to control the weather change within 6 hours by using the average data of 6 hours. 2) method A. Short-wave solar incident radiation model in clear sky horizontal plane.Rayleigh scattering, aerosol absorption, water vapor absorption, ozone absorption and heterogeneous mixed gases (O2, CO2, etc.) are mainly considered in the calculation of direct radiation from clear sky. B. Short-wave radiation model of clear-sky solar incidence under arbitrary topographic conditions.According to the principle of solid geometry and the algorithm of the short-wave radiation of horizontal plane, a simple algorithm of the short-wave radiation considering the self-masking effect of mountain slopes is designed. C. Calculation of solar incident short-wave radiation under arbitrary terrain conditions in actual weather.Based on the Ver4Fortran source code provided by Dr. Harry d. K of the Greek institute of meteorology and atmospheric physics. D. Spatial interpolation adopts the three-dimensional interpolation method based on triangular grid. The time interpolation of the first set of data adopts linear interpolation. For specific algorithm description, please refer to: Chen rensheng, kang ersi, et al. (2006). "model of hourly incident short-wave radiation under arbitrary terrain and actual weather conditions -- a case study of heihe river basin." Chinese desert (05). 3) data verification The simulation results were verified by using the total radiation observation data of three automatic meteorological stations located in the mountainous area, xishui, linze in the middle reaches and ejinaqi in the lower reaches. The calculated results of the total radiation of xishui were relatively poor, with R2 = 0.71.The measured and calculated results of total radiation of linze and ejin flags are better, with R2 of 0.90 and 0.91, respectively. 4) conclusion It is a feasible method to calculate the solar incident short-wave radiation with large range, long time and high spatial and temporal resolution under any terrain and actual weather conditions by combining the radiation transmission parameterization scheme and remote sensing information, especially in the northwest arid region.The established model only USES DEM data of the basin and the slope and slope direction data generated thereby, while other data are reanalysis data, so it is easy to be popularized and applied.The weather changes at any time in high mountain areas. The main reason for the poor calculation effect of the model in high mountain areas is still the low spatial and temporal resolution of the total cloud cover data. Meanwhile, the inconsistency between the calculated value and the measured value partly leads to the poor comparison results.
CHEN Rensheng
In April 1999, Landsat 7 was launched. As a supplement and enhancement to the Landsat series, the sensor it carried was ETM+. The parameters of each band were close to those of Landsat 5, but the resolution of panchromatic band with a resolution of 15m was added, and the resolution of thermal infrared band was improved to 60m. At present, there are 85 ETM + data scenes in heihe river basin.Data acquisition time is 1999-07-07, 1999-09-23 (2 scenes), 1999-10-18, 1999-11-26, 2000-01-20, 2000-04-20, 2000-05-06 (2 scenes), 2000-05-20, 2000-06-14 (2 scenes), 2000-07-07 (2 scenes), 2000-07-08, 2000-08-10, 2000-10-02, 2000-10-11,2000-10-13, 2001-05-25, 2001-07-03, 2001-08-20 (2 king), 2001-10-23, 2002-05-03, 2002-05-28, 2002-06-13, 2002-06-29, 2002-07-24, 2004-12-11, 2005-07-23, 2005-09-09, 2005-10-09, 2006-05-07,2006-05-21, 2006-06-24, 2006-07-26, 2006-08-25, 2006-12-01, 2007-08-12, 2008-01-05, 2008-02-06, 2008-03-25, 2008-05-10, 2008-05-19, 2008-05-28, 2008-06-04, 2008-07-15 (2 scenes), 2008-07-22, 2008-08-16 (4 scenes),2008-08-30, 2008-09-08, 2008-09-15, 2008-09-17, 2008-10-01, 2008-10-10 (2 scenes), 2008-10-19 (3 scenes), 2008-10-26 (3 scenes), 2008-11-02, 2008-11-04 (4 scenes), 2008-11-18, 2008-11-20 (4 scenes), 2008-11-27 (3 scenes), 2008-12-04, 2008-12-062008-12-13 (3 scenes).
LP DAAC User Services
Reservoir refers to the artificial water area formed in valley, river or low-lying area by dam, dike, sluice, weir and other projects. It is the main measure used for runoff regulation to change the distribution process of natural water resources and plays an important role in social and economic development. Many reservoirs have been built in Heihe River Basin, which has an important impact on the utilization of water resources in this area. In order to facilitate the mapping needs of users, we use topographic map and remote sensing image to prepare the reservoir distribution map of the Heihe River Basin. The location and shape of the reservoir are mainly obtained by manual interpretation based on Google map image, which basically shows the current situation of the reservoir distribution in the Heihe River Basin around 2010.
National Basic Geographic Information Center
The data set includes ASTER GDEM data and its Mosaic. ASTER Global DEM (ASTER GDEM) is a Global digital elevation data product jointly released by NASA and Japan's ministry of economy, trade and industry (METI) on June 29, 2009. The DEM data is based on the observation results of NASA's new earth observation satellite TERRA.It is produced by the ASTER(Advanced Space borne Thermal Emission and Reflection Radio meter) sensor, which collects 1.3 million stereo image data, covering more than 99% of the earth's land surface.The data has a horizontal accuracy of 30 m (95% confidence) and an elevation accuracy of 7-14 m (95% confidence).This data is the third global elevation data, which is significantly higher than previous SRTM3 DEM and GTOPO30 data. We from NASA's web site (http://wist.echo.nasa.gov/api) to download the data of heihe river basin, and through the data center to distribute.The data distributed by the center completely retains the original appearance of the data without any modification to the data.If users need details about ASTER GDEM preparation process, please refer to the data documents of metadata connections, or visit http://www.ersdac.or.jp/GDEM/E/3.html or directly from https://lpdaac.usgs.gov/ reading and ASTER Global DEM related documents. ASTER GDEM is divided into several data blocks of 1×1 degree in distribution, and the distribution format is zip compression format. Each compressed file includes three files. The file naming format is as follows: ASTGTM_NxxEyyy_dem.tif ASTGTM_NxxEyyy_num.tif reademe.pdf Where xx is the starting latitude and yyy is the starting longitude._dem. Tif is the dem data file, _num. Tif is the data quality file, and reademe is the data description file. In order to facilitate users to use the data, on the basis of the fractional ASTER GDEM data, we splice fractional SRTM data to prepare the ASTER GDEM Mosaic map of the black river basin, which retains all the original features of ASTER GDEM without any resamulation. This data includes two files: heihe_aster_gdem_mosaic_dem.img Heihe_Aster_GDEM_Mosaic_num. Img The data is stored in the format of Erdas image, where the file _dem.img is the dem data file and the file _num. Img is the data quality file.
National Aeronautics and Space Administration
This set of data mainly includes the demographic data of 12 counties in 6 prefecture-level cities of Qinghai, Gansu and Inner Mongolia in Heihe River Basin, covering the time period of 2000-2009. The data source is the local statistical yearbook, which mainly includes: Statistical Bureau of Suzhou District. Statistical Yearbook of Suzhou. 2004-2009; Yumen Statistical Bureau. Yumen Statistical Yearbook. 2000-2008; Jinta County Statistical Bureau. Jinta County Statistical Yearbook. 2004-2009; Gaotai Statistical Bureau. Gaotai Statistical Yearbook. 2000-2007; Shandan County Statistical Bureau. Shandan County Statistical Yearbook. 2000-2009; Sunan Yugur Statistical Bureau. Statistical Yearbook of Sunan Yugur Autonomous County. 2004-2009; Minle County Statistical Bureau. Minle County Statistical Yearbook. 2004-2009; Shandan County Statistical Bureau. Shandan County Statistical Yearbook. 2000-2009; Linze County Statistical Bureau. Linze County Statistical Yearbook. 2000-2009; Ejin Banner Statistical Bureau. Ejin Banner Statistical Yearbook. 1990-2005; Qilian County Statistical Bureau. Qilian County National Economic Statistics. 2004-2009; Part of the data of Zhangye City comes from the basic social and economic situation of townships of Zhangye City in 2005. Data of Jiayuguan City is derived from the CNKI statistical data database of China National Knowledge Infrastructure, and only contains some county-level data. Data Content Description: The data mainly includes three population indicators of 12 counties in the basin, including Ganzhou District, Gaotai County, Shandan County, Minle County, Linze County, Sunan Yugur Autonomous County, Jinta County, Sunzhou District and Yumen City, Jiayuguan City, Qilian County, and Ejin Banner. The population indicators are permanent population, agricultural population and non-agricultural population at the end of the year. It is divided into two levels: county level and township level. The statistics currently available are: County level: Ejina Banner: 2006-2009: resident population, agricultural population, non-agricultural population at the end of each year Ganzhou District: 2009: agricultural population, non-agricultural population of the year; Gaotai County: 2009: agricultural population, non-agricultural population of the year; Sunan: 2000-2009: permanent population, agricultural population, non-agricultural population at the end of each year; Minle County: 2009: permanent population, agricultural population, non-agricultural population at the end of the year; Linze: 2009: permanent population, agricultural population, non-agricultural population at the end of the year; Yumen City: 2000-2005: permanent population, agricultural population, non-agricultural population at the end of each year; Township level: Ejin Banner: 2000-2005: permanent population, agricultural population, non-agricultural population at the end of the year; Ganzhou District: 2000-2008: permanent population, agricultural population, non-agricultural population at the end of the year; 2009: resident population at the end of the year; Gaotai County: 2000-2004, 2006, 2007: permanent population, agricultural population, non-agricultural population at the end of the year; 2009: resident population at the end of the year; Shandan County: 2000-2007: permanent population, agricultural population, non-agricultural population at the end of the year; 2009: resident population at the end of the year; Minle County: 2000-2008: permanent population, agricultural population, non-agricultural population at the end of the year; Jinta County: 2004-2009: permanent population, agricultural population, non-agricultural population at the end of the year; Yumen City: 2006-2008: permanent population, agricultural population, non-agricultural population at the end of the year; Suzhou District 2004-2009: permanent population, agricultural population, non-agricultural population at the end of the year; Qilian County: 2004-2009: permanent population, agricultural population, non-agricultural population at the end of the year; Permanent population at the end of the year, agricultural population, non-agricultural population County level township level county level township level county level township level Ejin Banner:2006-2009 2000-2005 2006-2009 2000-2005 2006-2009 2000-2005 Ganzhou District 2000-2009 2009 2000-2008 2009 2000-2008 Gaotai County 2000-2004、 2006、2007、2009 2009 2000-2004、 2006、2007 2009 2000-2004、 2006、2007 Shandan County 2000-2007、2009 2000-2007 2000-2007 Sunan County 2000-2009 2000-2009 2000-2009 Minle County 2009 2000-2008 2009 2000-2008 2009 2000-2008 Linze County 2009 2009 2009 Jinta County 2004-2009 2004-2009 2004-2009 Sunzhou District 2004-2009 2004-2009 2004-2009 Qilian County 2004-2009 2004-2009 2004-2009 Yumen City 2000-2005 2006-2008 2000-2005 2006-2008 2000-2005 2006-2008
ZHAO Jun
"Heihe River Basin Ecological hydrological comprehensive atlas" is supported by the key project of Heihe River Basin Ecological hydrological process integration research. It aims at data arrangement and service of Heihe River Basin Ecological hydrological process integration research. The atlas will provide researchers with a comprehensive and detailed background introduction and basic data set of Heihe River Basin. The soil type map of Heihe River Basin is one of the land surface layers in the atlas, with a scale of 1:2500000, a positive axis equal conic projection, and a standard latitude of 25 47 n. Data source: 1:1 million soil type data of Heihe River Basin Based on the second Soil Census, road data of Heihe River Basin in 2010, administrative boundary data of Heihe River Basin in 2008, residential area data of Heihe River Basin in 2009 and 100000 river data in 2009.
WANG Jianhua, ZHAO Jun, WANG Xiaomin
Data overview: this set of data mainly includes the spatial distribution of major roads in the heihe river basin, the attributes include road classification and road coding, and the data base year is 2010. Data preparation process: this set of data is based on the topographic map, remote sensing image and the latest road traffic map updated by the transportation department of gansu province in 2009. Data description: there are two important attributes of the data, namely, road classification and road code. The road classification is divided into national road, provincial road, county road, township road and private road. The road code is defined in accordance with the highway grade code of the traffic department.
WU Lizong, NIAN Yanyun
Data Overview: Zhangye's channels are divided into five levels: dry, branch, bucket, agricultural and Mao channels, of which the agricultural channels are generally unlined. Mao channels are field projects, so the three levels of dry, branch and bucket channels and a small part of agricultural channels are mainly collected. The irrigation canal system data includes 2 main canals (involving multiple irrigation districts), 157 main canals (within a single irrigation district), 782 branch canals and 5315 dou canals, with a total length of 8, 745.0km. Data acquisition process: remote sensing interpretation and GPS field measurement are adopted for data acquisition of irrigation canal system. Direct GPS acquisition channel is the most effective method, but the workload of GPS acquisition channel is too large, and we only verify the measurement in some irrigation areas. The main method is to first collect the manual maps of irrigation districts drawn by each water pipe. Most of these maps have no location, only some irrigation districts such as Daman and Shangsan have been located based on topographic maps, and some irrigation districts in Gaotai County have used GPS to locate some channels. Referring to the schematic diagram of the irrigation district, channel spatial positioning is carried out based on Quikbird, ASTER, TM remote sensing images and 1: 50000 topographic maps. For the main canal and branch canal, due to the obvious linear features on remote sensing images and the general signs on topographic maps, it can be located more accurately. For Douqu, areas with high-resolution images can be located more accurately, while other areas can only be roughly located according to fuzzy linear features of images and prompt information of irrigation district staff, with low positioning accuracy. Each water management office simultaneously provides channel attribute data, which is one-to-one corresponding to spatial data. After the first draft of the channel distribution map is completed, it is submitted twice to the personnel familiar with the channel distribution of each water pipe for correction. The first time is mainly to eliminate duplication and leak, and the second time is mainly to correct the position and perfect the attribute data. Description of data content: The fields in the attribute table include code, district and county name, irrigation area name, channel whole process, channel name, channel type, location, total length, lined, design flow, design farmland, design forest and grass, real irrigation farmland, real irrigation forest and grass, water right area, and remarks. Code example: G06G02Z15D01, where the first letter represents the county name, the 2nd and 3rd numbers represent the county (district) number, the 4th to 6th characters represent the trunk canal code, the 7th to 9th characters represent the branch canal code, and the 10th to 12th characters represent the dou canal code.
MA Mingguo
The geomorphic data of Heihe River are from the geomorphic Atlas of the people's Republic of China (1:1 million). This data is based on remote sensing image and other multi-source data integration and update. The main data used and referenced include: 1) remote sensing image data: TM and 2000's around 1990's nationwide About ETM image; 2) historical geomorphic map: 15 published 1 million geomorphic maps, two sets of 1:4 million geomorphic maps in China, 500000 or 1 million geomorphic sketches in all provinces and cities in China; 3) basic geographic data: 1:250000 basic geographic data and 250000 DEM data in China; 4) geological data: 1:500000 geological map in China; 5) relevant thematic maps: land use map, vegetation map and land resource map And so on. The interpretation method adopts the human-computer interaction method based on ArcGIS, and is carried out according to the interpretation sequence of hierarchical classification: the first layer: plain and mountain; the second layer: basic geomorphic types (28); the third layer: 10 genetic types; the fourth layer: secondary genetic types; the fifth layer: morphological difference classification types; the sixth layer: secondary morphological difference classification types; the seventh layer: slope, slope The eighth layer is the type of geomorphic material determined by material composition or lithology; the ninth layer is the combination of 1-7 layers of map spots. There are 441 geomorphic types and codes. Data fields include: fenfu (view frame number), name (attribute), class (code), sname (administrative division).
CHENG Weiming
The data came from the badain jilin 1:500,000 wind-sand landform data set compiled by the desert research institute of the Chinese academy of sciences (now the institute of cold and drought of the Chinese academy of sciences. The dataset mainly includes :dimao(landform),height(dune height),lake(lake),lvzhou(oasis), river(river), road (road).
ZHU Zhenda, WANG Yimou, D Jeremy kyle, J Hofer
Glaciers are sensitive to climate change and are important indicators and amplifiers of global change. In inland river regions, river runoff mainly comes from mountain ice and snow melt. Glaciers are very important "solid reservoirs" in these regions, and glacial melt water is an important source of supply for the tributaries of the Heihe River. The inventory of glaciers in the Heihe River Basin was completed from 1979 to 1980. For related information, please refer to "Chinese Glacier Inventory-Qilian Mountains" edited by Wang Zongtai and others. In 2004, the relevant results of the "China Glacier Inventory" were systematically digitized and a database was established. The final results were released through the "China Glacier Information System". However, in the process of coordinate restoration, the accuracy of the reference data was poor, and the glaciers in the Heihe River Basin had obvious position shifts. Therefore, we used the Landsat remote sensing image corrected by ortho-geometric correction. The processed Heihe Glacier distribution data is highly consistent with the existing basic geographic information in China in terms of geometric accuracy, and consistent with the first glacier inventory in terms of attributes.
WANG Zongtai
Data Overview: The spatial distribution data of mining wells in Zhangye City are provided by Zhangye Municipal Water Affairs Bureau, including 6,228 mechanized wells in agriculture, industry, forestry, life, scientific research and other 6 types. Data acquisition process: Zhangye Municipal Water Affairs Bureau entrusts the Hydrogeological Engineering Geological Survey Institute of Gansu Provincial Bureau of Geology and Mineral Resources to be responsible for special investigation of the data of mining wells in Zhangye City. The special survey of mining wells takes the irrigation area as a unit, uses hand-held GPS to locate the coordinates of the wells, and establishes the information card of mining wells through investigation and visit. A total of 7,429 eyes of various wells were surveyed. Among them, 6228 mining wells are still in use; 1201 wells were abandoned at the time of investigation. Description of data content: The attribute table contains information of mining well number, coordinates, location, water intake purpose, mining well type, well depth at the time of investigation, pumping flow, annual mining volume, rated flow, quality evaluation, matching quality evaluation and comprehensive quality evaluation fields.
MA Mingguo
Railway distribution map is the basic data in the mapping process. In order to facilitate the use of users, we compiled the railway data set of Heihe River basin according to the railway data set distributed by the National Basic Geographic Information Center, the atlas of Gansu Province compiled by the Gansu Provincial map Geographic Information Center, the sky map and Guge map published by the China Surveying and Mapping Bureau. This data basically reflects the distribution of Railways around the Heihe River basin around 2010. The national standard of data classification and coding of national basic geographic information system - Classification and code of basic land information data (GB / T 13923-92) is adopted for railway coding, and the code is five digit code (National Basic Geographic Information Center 2010).
National Basic Geographic Information Center
Contact Support
Northwest Institute of Eco-Environment and Resources, CAS
0931-4967287
poles@itpcas.ac.cn
Links
National Tibetan Plateau Data CenterFollow Us
A Big Earth Data Platform for Three Poles © 2018-2020 No.05000491 | All Rights Reserved
｜ 
No.11010502040845
Tech Support: westdc.cn
