The dataset investigated the growth status of plants and leaf morphological indexes of single and conjoined red sand and pearl in the middle and lower reaches of heihe river basin in 2013. The growth indexes were crown width, plant height, and biomass of fine roots and thick roots.Leaf shape indicators are: length, width, thickness, and leaf area, volume, etc.The experimental observation indexes are: leaf nitrogen content, water potential, gas exchange data, chlorophyll fluorescence data. Data include: field observation data and explanatory documents.
SU Peixi
The year-end ecological investigation was conducted in the late September and early October when plants stopped growing. There are 8 investigation and observation fields, they are: piedmont desert, piedmont Gobi, desert in the middle, Gobi in the middle reaches, desert in the middle reaches, downstream desert, downstream Gobi, and downstream desert, the size of each filed is 40m×40m. Three large quadrats of 20m×20m were selected in each observation field, named S1, S2, and S3, to conduce the regular shrub investigation; four small quadrats were selected from each large quadrat with a size of 5m×5m, named A, B, C, D, to conduct herbal investigation.
SU Peixi
In July and mid August 2012, plant species: Caragana. 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
A small lysimeter was made to simulate the natural conditions and select typical desert plants as the objects to study the water consumption of drought stress treatment. Repeat 3 times for each plant. In 2012, the soil water content was kept at (20 ± 5)% of the field water capacity, and experiments on physiological water demand and water consumption were carried out under stress. In 2013, the soil water content was kept at (10 ± 3)% of the field water capacity, and further experiments on water consumption and water consumption law were carried out under drought stress.
SU Peixi
As determined in mid-august 2013, planting species: bubbly spines (different habitats are mid-range intermountain lowland and gobi), red sand (different habitats are mid-range gobi and downstream gobi). Using the brother company of LI - 6400 Portable Photosynthesis System (Portable Photosynthesis System, LI - COR, USA) and LI - 3100 leaf area meter, etc., to the desert plant photosynthetic physiological characteristics were observed. The symbolic meaning of the observed data is as follows: Obs，observation frequency ； Photo ，net photosynthetic rate，μmol CO2•m–2•s–1； Cond stomatal conductance，mol H2O•m–2•s–1 ; Ci, Intercellular CO2 concentration, μmol CO2•mol-1； Trmmol，transpiration rate，mmol H2O•m–2•s–1； Vpdl，Vapor pressure deficit，kPa； Area，leaf area，cm2； Tair，free air temperature ，℃； Tleaf，Leaf temperature，℃； CO2R，Reference chamber CO2 concentration，μmol CO2•mol-1； CO2S，Sample chamber CO2 concentration，μmol CO2•mol-1； H2OR，Reference chamber moisture，mmol H2O•mol-1； H2OS，Sample chamber moisture，mmol H2O•mol-1； PARo，photon flux density，μmol•m–2•s–1； RH-R，Reference room air relative humidity，%； RH-S，Relative humidity of air in sample room，%； PARi，Photosynthetic effective radiation，μmol•m–2•s–1； Press，barometric pressure，kPa； Others are the state parameters of the instrument at the time of measurement.
SU Peixi
In the middle of August 2013, photosynthesis of population was measured, and plant species: red sand. The group photosynthesis measurement system consists of li-8100 closed-circuit soil carbon flux automatic measurement system (li-cor, USA) and assimilation box designed and manufactured by Beijing ligotai science and Technology Co., Ltd. li-8100 is an instrument produced by li-cor company of USA for soil carbon flux measurement. The concentration of CO2 and H2O is measured by infrared gas analyzer. The length, width and height of assimilation boxes were all 50 cm. The assimilator is controlled by li-8100. After the measurement parameters are set, the instrument can run automatically.
SU Peixi
On the basis of physiological and biochemical analysis of photosynthetic organs (leaves or assimilating branches) of typical desert plants in heihe river basin collected in mid-july 2011, some photosynthetic organs of desert plants were collected in mid-july 2012 and put into a liquid nitrogen tank and brought back to the laboratory for determination. Physiological 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
At the end of September and the beginning of October, 2013, desert plants in typical areas of heihe basin stopped their growth period to conduct year-end ecological survey. 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
The VEGETATION sensor sponsored by the European Commission was launched by SPOT-4 in March 1998. Since April 1998, SPOTVGT data for global vegetation coverage observation has been received by Kiruna ground station in Sweden. The image quality monitoring center in Toulouse, France is responsible for image quality and provides relevant parameters (such as calibration coefficient number). Finally, the Belgian flemish institute for technological research (Vito)VEGETATION processing Centre (CTIV) is responsible for preprocessing into global data of 1km per day. Pretreatment includes atmospheric correction, radiation correction, geometric correction, production of 10 days to maximize the synthesized NDVI data, setting the value of -1 to -0.1 to -0.1, and then converting to the DN value of 0-250 through the formula DN= (NDVI+0.1)/0.004. The dataset is a long-time series vegetation index dataset of Qinghai Lake Basin, which is mainly aimed at normalized difference vegetation index (NDVI). It includes spectral reflectance of four bands synthesized every 10 days from 1998 to 2008 and maximum NDVI for 10 days, with a spatial resolution of 1km and a temporal resolution of 10 days.
Flemish Institute for Technological Research (VITO)
GIMMS (glaobal inventory modelling and mapping studies) NDVI data is the latest global vegetation index change data released by NASA C-J-Tucker and others in November 2003. This dataset is a long-term GIMMS vegetation index dataset of the Qinghai Lake Basin, which includes changes in the vegetation index from 1981 to 2006. The time resolution is 15 days and the spatial resolution is 8 km. GIMMS NDVI data recorded the changes of vegetation in 22a area in the format of satellite data.
National Aeronautics and Space Administration
Sponsored by the European commission VEGETATION sensors in March 1998 by SPOT - 4 was deployed, from April 1998 to receive SPOTVGT for global VEGETATION observation data, the data by the Swedish Kiruna ground station is responsible for receiving, the image quality monitoring center in Toulouse, France is responsible for the image quality and provide the related parameters (e.g., scaling),Eventually, Belgium's Flemish Institute for Technological Research (Vito) 's VEGETATION processing Centre (CTIV) was responsible for pre-processing the data into 1km of daily global data.Preprocessing includes atmospheric correction, radiometric correction, and geometric correction to produce the maximum synthesis of NDVI data in 10 days, and set the value from -1 to -0.1 to -0.1, and then convert to the DN value of 0-250 through the formula DN= (NDVI+0.1)/0.004. This data set is mainly for normalized vegetation index (NDVI) of the qaidam river basin in the long time series, including spectral reflectance of four bands synthesized every 10 days from 1998 to 2008 and maximum NDVI in 10 days. The spatial resolution is 1km and the temporal resolution is 10 days.File formats :.hfr and.img.The file naming rule is CHN_NDV_YYYYMMDD, where YYYYMMDD is the date of the day that the file represents and is the main identifier that distinguishes it from other files.Remote sensing image files with suffixes.img and.hdf, which are used by users to analyze vegetation index, can be opened in ENVI and ERDAS software
Greet Janssens, Flemish Institute for Technological Research (VITO)
The dataset of spectral reflectance observations was obtained by ASD (Analytical Sepctral Devices) in the Yingke oasis and Huazhaizi desert steppe foci experimental areas. Reflectance was calculated based on the equation R = (DN1/DN0)×R0, DN1 indicating DN of the targets, R0 and DN0 the reflectance and DN of the grey board. The reflectance spectra of maize and wheat canopy, the component leaf of the maize and BRDF in Yingke oasis maize field, Yingke oasis wheat field, Huazhaizi desert maize field, the transect spectrum in Huazhaizi desert No. 1 and 2 plots and Linze and Biandukou foci experimental area were measured on May 20, 24, 25, 28 and 30, Jun. 1, 4, 9, 14, 16, 18, 20, 22, 23, 24, 26, 29 and 30, Jul. 1, 4, 5, 6, 7, 9 and 11, 2008. Four ASD devices were used, from Peking University (350-2500nm), Institute of Remote Sensing Applications (350-2500nm), Beijing Academy of Agriculture and Forestry Sciences (350-1065nm) and BNU respectively. The reference boards were 40%, 50% and 99%. The above spectral reflectance dataset was synchronizing with WiDAS (Wide-angle Infrared Dual-mode line/area Array Scanner), OMIS-II and various spaceborne sensors. Raw data were binary files direct from ASD (by ViewSpecPro), and pre-processed data on reflectance were in Excel format.
CHEN Ling, REN Huazhong, WANG Haoxing, XIAO Yueting, YAN Guangkuo, ZHOU Hongmin, GE Yingchun, LI Xin, SHU Lele, GUANG Jie, LIU Sihan, SU Gaoli, XIA Chuanfu, Wen Jianguang, ZHANG Yang, ZHOU Chunyan, FAN Wenjie, TAO Xin, YAN Binyan, YAO Yanjuan, YANG Guijun, CHENG Zhanhui, Liu Liangyun, YANG Tianfu
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MA Mingguo, DING Songchuang, GAO Song, Qian Jinbo, BAI Yunjie, WANG Xufeng, TAN Junlei, WANG Shuguo, GU Juan, WANG Shunli, LUO Longfa, WANG Rongxin, CHE Zongxi, JING Wenmao
The dataset of ground truth measurements synchronizing with the airborne WiDAS mission was obtained in the Linze station foci experimental area on Jun. 29, 2008. WiDAS, composed of four CCD cameras, one mid-infrared thermal imager (AGEMA 550), and one infrared thermal imager (S60), can acquire CCD, MIR and TIR band data. The simultaneous ground data included: (1) soil moisture (0-5cm) nine times by the cutting ring (50cm^3) along LY06 and LY07 strips, and once by the cutting ring method and once by ML2X Soil Moisture Tachometer in the six points of Wulidun farmland quadrates. The preprocessed soil volumetric moisture data were archived as Excel files. (2) surface radiative temperature measured three times 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 LY06 and LY07 strips (98 sample points and repeated three times) and the Wulidun farmland quadrates (various points and repeated three times). Data were archived as Excel files. (3) maize canopy component temperature measured by the 5# handheld infrared thermometer (from Cold and Arid Regions Environmental and Engineering Research Institute) in Wulidun farmland quadrates. Six directions were measured, canopy backlighting and frontlighting, half height backlighting and frontlighting, the light and the shaded bareland, with each direction 20 measurements. (4) spectrum of maize, soil and soil with known moisture measured by ASD Spectroradiometer (350～2 500 nm) from BNU, and the reference board (40% before Jun. 15 and 20% hereafter) in Wulidun farmland quadrates. Raw spectral data were binary files , which were recorded daily in detail, and pre-processed data on reflectance (by ViewSpecPro) were archived as Excel.files (5) mltiangle maize spectrum measured by ASD Spectroradiometer (350～2 500 nm) from BNU, the reference board (40% before Jun. 15 and 20% hereafter), two observation platforms of BNU make and one of Institute of Remote Sensing Applications make in Wulidun farmland. Raw spectral data were archived as binary files, which were recorded daily in detail, and pre-processed data on reflectance and transmittivity were archived as text files (.txt). (6) LAI of maize measured by the fisheye camera (CANON EOS40D with a lens of EF15/28), shooting straight downwards, with exceptions of higher plants, which were shot upwards. Data included original photos (.JPG) and those processed by can_eye5.0 (in excel). (7) LAI of maize measured by LAI2000 in Wulidun farmland quadrates. Data educed from LAI2000 periodically were archived as text files (.txt) and marked with one ID. Raw data (table of word and txt) and processed data (Excel) were included. Besides, observation time, the observation method and the repetition were all archived. 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.
DONG Jian, YU Yingjie, BAI Yanfen, HAO Xiaohua, Qian Jinbo, SHU Lele, WANG Yang, XU Zhen
The dataset of spectral reflectance measurements was obtained in the A'rou foci experimental area on Mar. 12, 2008. The land was covered with snow 10cm deep. Observed objects included snow, sandstone, grass and ice. The 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, and can be opened by .txt or wordpad. Raw data were binary files direct from ASD (by ViewSpecPro).
PENG Danqing, ZHENG Yue
The dataset of LAI measurements was obtained by LI-3000, the protractor and the ruler in the Yingke oasis and Huazhaizi desert steppe foci experimental areas on May, 20, 24, 25, 28 and 31, Jun. 6, 11, 12, 14, 16, 21 and 27, Jul. 2 and 9, 2008. The maximum leaf length and width of maize and wheat, the leaf angle, length and width of each section (one leaf was divided into 3 sections) were measured. And also the plant height, leaf base height, the crop spacing, the canopy height, row spacing and ridge spacing were measured. Two representative plants would be taken back for indoor observation for the stem length, stem width, stem circumference, and leaf area by LAI3000. Data were archived in Excel format.
CHEN Ling, REN Huazhong, WANG Tianxing, WANG Jindi, XIAO Yueting, YAN Guangkuo, LI Li, LIU Sihan, SU Gaoli, Wen Jianguang, XIA Chuanfu, XIN Xiaozhou, ZHANG Yang, ZHOU Chunyan, ZHOU Mengwei, FAN Wenjie, SHEN Xinyi, TAO Xin, YAN Binyan, YAO Yanjuan
The dataset of ground truth measurements synchronizing with MODIS, ALOS PALSAR and AMSR-E was obtained in the Biandukou foci experimental area on May 24, 2008. Observation items included: (1) the surface temperature in No. 1 (grassland), No. 2 (the rape land), No. 3 (the rape land), No. 4 (the wheat land) and No. 5 quadrate (wheat and rape); (2) the soil moisture by WET in No. 2 quadrate; (3) GPR and WET; (4) The spectrum by ASD Fieldspec FRTM (Boulder, Co, USA), 350nm-2500nm, 3nm for the visible near-infrared band and 10nm for the shortwave infrared band). 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, and can be opened by .txt or wordpad. The .txt file was not reflectance but intermediate file for further calculation. Raw data were binary files direct from ASD (by ViewSpecPro). The surface radiative temperature and the physical temperature were measured by the handheld infrared thermometer. Besides, the cover type was also recorded. The data can be opened by Microsoft Office. Soil moisture was acquired by WET and the cutting ring. The data can be opened by Microsoft Office. Six data files were included, soil moisture, the surface temperature, GPR, coverage photos and preprocessed data, ground objects spectrum and satellite images.
BAI Yunjie, CAO Yongpan, CHE Tao, DU Ziqiang, HAO Xiaohua, WANG Zhixia, WU Yueru, CHAI Yuan, CHANG Sheng, QIAN Yonggang, SUN Xiaoqing, WANG Jindi, YAO Dongping, ZHAO Shaojie, ZHENG Yue, ZHAO Yingshi, LI Xiaoyu, PATRICK Klenk, HUANG Bo, LI Shihua, LUO Zhen
The dataset of ground truth measurements synchronizing with ASTER was obtained in the Linze station foci experimental area on May 28, 2008. Observation items included: (1) soil moisture (0-5cm) measured once by the cutting ring method at the corner points of the 40 subplots of the west-east desert transit zone strip once by cutting ring method in the corner points of nine subplots of the north-south desert transit zone, once by the cutting ring method and once by ML2X Soil Moisture Tachometer in the center points of nine subplots of the farmland. The preprocessed soil volumetric moisture data were archived as Excel files. (2) surface radiative temperature measured by the handheld infrared thermometer (5# and 6# from Cold and Arid Regions Environmental and Engineering Research Institute which were both calibrated) in 40 subplots of the west-east desert transit zone strip (repeated 14-30 times), and nine subplots of the north-south desert transit zone strip (repeated 12-30 times). Data were archived as Excel files. (3) BRDF of maize and desert scrub measured by ASD Spectroradiometer (350～2 500 nm) from BNU, the 40% reference board , two observation platforms of BNU make and one of Institute of Remote Sensing Applications make in Wulidun farmland quadrates and the desert transit zone strips. Raw spectral data were archived as binary files, which were recorded daily in detail, and pre-processed data on reflectance and transmittivity were archived as text files (.txt). (4) LAI measured by two methods in the the Wulidun farmland quadrates and Linze station quadrates. One is manual method. The LAI, plant height and the spacing of selected samples were measured by the ruler and the number of the sapmles in the quadrate were counted. Then the LAI can be calculated. The other method is LI-3100. Data were archived as Excel files.
Qian Jinbo, SONG Yi, WANG Zhixia, WANG Yang, PAN Xiaoduo, LI Jing, Li Xiangyun, Qu Yonghua, SUN Qingsong
The dataset of crop biochemical parameter measurements was obtained in the maize field (May 25-Jun. 8, 2008) and the wheat field (Jun. 18-Jul. 4, 2008) of Yingke oasis foci experimental area. Observation items included LAI by LAI-2000, the chlorophyll content by SPAD and leaf moisture by the oven and the scales. Four files were included, readme.txt, wheat sample coordinates.xls, wheat.xls for wheat biochemical parameters and Yingke oasis maize field.xls for maize biochemical parameters.
DONG Jingjing, GAO Shuai, WU Mingquan, WU Chaoyang
The dataset of ground truth measurements synchronizing with ASTER was obtained in the Yingke oasis and Huazhaizi desert steppe foci experimental areas on May 28, 2008. Observation items included: (1) Atmospheric parameters in Huazhaizi desert No. 2 plot 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 format 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. (2) Photosynthesis by LI-6400. Raw data were archived in the user-defined format (by notepat.exe) and processed data were in Excel format. (3) Reflectance spectra in Yingke oasis maize field by ASD FieldSpec (350-2500nm, the vertical canopy observation and the transect observation) from Institute of Remote Sensing Applications (CAS), and in Huazhaizi desert No. 2 plot by ASD FieldSpec (350-1603nm, the vertical observation and the transect observation for reaumuria soongorica and the bare land) from Beijing Academy of Agriculture and Forestry Sciences. The grey board and the black and white cloth were also used for calibration spectrum. Raw data were binary files direct from ASD (by ViewSpecPro), and pre-processed data on reflectance were in Excel format. (4) Coverage fraction of maize and wheat by the self-made instrument and the camera (2.5m-3.5m above the ground) in Yingke oasis maize field. Based on the length of the measuring tape and the bamboo pole, the size of the photo can be decided. GPS date were also collected and the technology LAB was applied to retrieve the coverage of the green vegetation. Besides, such related information as the surrounding environment was also recorded. Data included the primarily measured image and final fraction of vegetation coverage. (5) the radiative temperature of maize, wheat and the bare land in Yingke oasis maize field by ThermaCAM SC2000 using ThermaCAM SC2000 (1.2m above the ground, FOV = 24°×18°),. The data included raw data (read by ThermaCAM Researcher 2001), recorded data and the blackbody calibrated data (archived in Excel format). (6) the radiative temperature by the automatic thermometer (FOV: 10°; emissivity: 0.95), 3 for maize canopy, the bare land and wheat canopy in Yingke oasis maize field, one for maize canopy in Huazhaizi desert maize field, and 2 for vegetation and the desert bare land in Huazhaizi desert No. 2 plot,at nadir at a time interval of one second. Raw data, blackbody calibrated data and processed data were all archived in Excel format. (7) Maize albedo by the shortwave radiometer in Yingke oasis maize field. R =10H (R for FOV radius; H for the probe height). Data were archived in Excel format. (8) LAI in Yingke oasis maize field. The maximum leaf length and width of each maize and wheat were measured. Data were archived in Excel format. (9) FPAR (Fraction of Photosynthetically Active Radiation) of maize and wheat by SUNSACN and the digital camera in Yingke oasis maize field. FPAR= (canopyPAR－surface transmissionPAR－canopy reflection PAR+surface reflectionPAR) /canopy PAR; APAR=FPAR* canopy PAR. Data were archived in the table format of Word. (10) The radiative temperature in Yingke oasis maize field (the transect observation), Yingke oasis wheat field (the transect observation), Huazhaizi desert maize field (the transect observation) and Huazhaizi desert No. 2 plot (the diagonal observation) by the handheld infrared thermometer (BNU and Institute of Remote Sensing Applications). Raw data (in Word format), blackbody calibrated data and processed data (in Excel format) were all archived.
CHAI Yuan, CHEN Ling, KANG Guoting, QIAN Yonggang, REN Huazhong, WANG Haoxing, WANG Jianhua, SHU Lele, LI Li, LIU Sihan, XIN Xiaozhou, ZHANG Yang, ZHOU Chunyan, ZHOU Mengwei, TAO Xin, WANG Dacheng, LI Xiaoyu, CHENG Zhanhui, YANG Tianfu, HUANG Bo, LI Shihua, LUO Zhen
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