The macro index data of social economy at the city (county) scale in Heihe River basin includes a series of socio-economic indexes of gross product, income, population, employment, medical treatment, education, land area, finance, etc. of 11 counties in Zhangye, Jiuquan, Jiayuguan, Alxa and Haibei Autonomous Prefecture;
0 2020-07-28
1. Data overview: this data set is the total surface runoff of hulugou drainage basin controlled by the outlet hydrological section of Qilian station from January 1, 2013 to December 31, 2013. 2. Data content: at 08:00, 14:00 and 20:00 every day, the flow rate and water level change of the outlet hydrological section of hulugou River Basin are regularly observed (the flow rate is measured by ls45a rotating cup type flow meter produced by Chongqing Huazheng Hydrological Instrument Co., Ltd., and the water level change is monitored in real time by hobo pressure type water level meter), the water level flow relationship is established, and the outlet flow of the river basin is calculated. 3. Space time scope: geographic coordinates: longitude: 99 ° 53 ′ E; latitude: 38 ° 16 ′ n; altitude: 2962.5m.
0 2020-03-11
1. The grassland animal husbandry production and management policies in the study area from 1954 to 2012 mainly include: 1) the time series of the formation and evolution of various policies; 2) the key policies related to herdsman's livestock activities and grassland management and utilization. 2. Residents' perception and response to pastoral socio-economic development policies, grassland management systems, ecological compensation policies, ecological restoration projects, and ecological environment status quo.
0 2020-04-12
The dataset of ground truth measurements synchronizing with airborne WiDAS mission was obtained in the Linze grassland foci experimental area on Jul. 11, 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. These simultaneous ground data were mainly the land surface temperature measured by the hand-held infrared thermometer in the reed plot A, the saline plots B and C, the alfalfa plot D and the barley plot E, the maximum of which were 120m×120m and the minimum were 30m×30m. Data were archived in Excel file. See WATER: Dataset of setting of the sampling plots and stripes in the foci experimental area of Linze station for more information.
0 2019-05-23
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.
0 2020-06-05
The data set contains meteorological element observation data of huazhaizi desert station in the middle reaches of heihe hydrological meteorological observation network from January 1, 2017 to December 31, 2017.The station is located in huazhaizi, zhangye city, gansu province.The latitude and longitude of huazhaizi station is 100.3201E, 38.7659N and 1731m above sea level.The observation items include: air temperature and relative humidity sensors at 5m and 10m, facing due north;Install the barometer inside the waterproof box;The tilting bucket rain gauge is installed at 10m;The wind speed and direction sensor is set at 5m and 10m, facing due north;The four-component radiometer is installed at 6m, facing due south;Two infrared thermometers are installed at 6m, facing due south, and the probe facing vertically downward;The soil temperature probe is buried at 0cm of the surface and 2cm, 4cm, 10cm, 20cm, 40cm, 60cm and 100cm underground, 2m to the south of the meteorological tower.The soil water sensor is buried 2cm, 4cm, 10cm, 20cm, 40cm, 60cm and 100cm underground, 2m to the south of the meteorological tower.The soil hot plates (3 pieces) are buried 6cm underground.Specific observation elements are as follows: Air temperature and humidity (Ta_5m RH_5m Ta_10m, RH_10m) (unit: c, percentage), pressure (Press) (unit: hundred mpa), precipitation (Rain) (unit: mm), wind speed (WS_5m, WS_10m) (unit: m/s), wind (WD_10m) (unit: degrees), the radiation of four component (DR, UR, DLR_Cor, ULR_Cor, Rn) (unit: watts per square meter), the surface radiation temperature (IRT_1, IRT_2) (unit:C), soil heat flux (Gs_1, Gs_2, Gs_3) (in watts/m2), soil moisture (Ms_2cm, Ms_4cm, Ms_10cm, Ms_20cm, Ms_40cm, Ms_60cm, Ms_100cm) (unit: volumetric water content, percentage), and soil temperature (Ts_0cm, Ts_2cm, Ts_4cm, Ts_10cm, Ts_40cm, Ts_60cm, Ts_100cm) (unit: Celsius). Processing and quality control of observation data :(1) ensure 144 data elements of observation data every day (every 10min), and mark by -6999 in case of data missing;From November to December 2017, due to wiring problems, there were discontinuous errors in long-wave radiation;(2) excluding the time with duplicate records;(3) data that obviously exceeds the physical significance or the range of the instrument is deleted;(4) the part marked with red letter in the data is the data in question;(5) date and time have the same format, and date and time are in the same column.For example, the time is: 2017-6-10:10:30;(6) the naming rule is: AWS+ site name. For information of hydrometeorological network or station, please refer to Li et al. (2013), and for observation data processing, please refer to Liu et al. (2011).
0 2020-03-04
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).
0 2019-05-23
On June 26, 2012, the satellite transit ground synchronous observation was carried out in the TerraSAR-X sample near the super station in the dense observation area of Daman. TerraSAR-X satellite carries X-band synthetic aperture radar (SAR). The daily transit image is HH / VV polarized, with a nominal resolution of 3 m, an incidence angle of 22-24 ° and a transit time of 19:03 (Beijing time), which mainly covers the ecological and hydrological experimental area of the middle reaches artificial oasis. The local synchronous data set can provide the basic ground data set for the development and verification of active microwave remote sensing soil moisture retrieval algorithm. Quadrat and sampling strategy: Six natural blocks are selected in the southeast of the super station, with an area of about 100 m × 100 m. One plot in the northwest corner of the sample plot is watermelon field, others are corn. The basis of sample selection is: (1) considering different vegetation types, i.e. watermelon and corn; (2) considering the visible light pixel, the sample size of 100m square can guarantee at least 4 30 M-pixel is located in the sample; (3) the location of the sample is near the super station, with convenient transportation. The observation of the super station is in the north, and there is a water net node on both sides of the East and the west, which makes it possible to integrate these observations in the future; (4) in addition, there are some obvious points around the sample, which can ensure that the geometric correction of the SAR image is more accurate in the future. Considering the resolution of the image, 21 splines (distributed from east to West) are collected at 5m intervals. Each line has 21 points (north-south direction) at 5m intervals. Three hydroprobe data acquisition systems (HDAS, reference 2) are used to measure at the same time. The sampling interval is controlled by the scale and moving splines on the measuring line to make up for the lack of using hand-held GPS. Measurement content: About 440 points on the quadrat were obtained, and each point was observed twice, i.e. two times in each sampling point, one time inside the film (marked as a in the data record) and one time outside the film (marked as B in the data record); although the watermelon land was also covered with film, considering that it was not laid horizontally, only the soil moisture at the non covered position was measured (marked as B in the two data records). As the HDAS system uses pogo portable soil sensor, the soil temperature, soil moisture (volume moisture content), loss tangent, soil conductivity, real part and imaginary part of soil complex dielectric are observed. Because the vegetation in this area has been sampled and observed once every five days, no special vegetation synchronous sampling has been carried out on that day. Data: The data format of this data set is vector file, the spatial location is the location of each sampling point (WGS84 + UTM 47N), and the measurement information of soil moisture is recorded in the attribute file.
0 2020-03-13
The dataset of soil moisture profile (0cm, 20cm, 40cm and 1m) observations was obtained by TDR (with the probe 12cm and 20cm) in the Yingke oasis and Huazhaizi desert steppe foci experimental areas. Observation items included: (1) Soil moisture synchronizing with TM in Yingke oasis No. 1, 4 and 5 maize plots on May 20, 2008. (2) Soil moisture synchronizing with ASTER and MODIS in Yingke oasis foci experimental areas on May 28, 2008. (3) Soil moisture synchronizing with WiDAS (Wide-angle Infrared Dual-mode line/area Array Scanner) in Yingke oasis foci experimental areas on May 30, 2008. (4) Soil moisture synchronizing with WiDAS (Wide-angle Infrared Dual-mode line/area Array Scanner) in A'rou grassland on May 31, 2008. (5) Soil moisture synchronizing with OMIS-II in Yingke oasis foci experimental areas on Jun. 4, 2008. (6) Soil moisture synchronizing with OMIS-II in Yingke oasis maize field on Jun. 16, 2008. (7) Soil moisture by TDR and the cutting ring, synchronizing with ASAR in Yingke oasis maize field and wheat field on Jun. 19, 2008. (8) Soil moisture synchronizing with WiDAS (Wide-angle Infrared Dual-mode line/area Array Scanner) in Yingke oasis foci experimental areas on Jun. 29, 2008. (9) Soil moisture synchronizing with WiDAS (Wide-angle Infrared Dual-mode line/area Array Scanner) and TM in Yingke oasis foci experimental areas on Jul. 7, 2008. (10) Soil moisture synchronizing with WiDAS (Wide-angle Infrared Dual-mode line/area Array Scanner) in Yingke oasis foci experimental areas on Jul. 11, 2008.
0 2019-05-23
This product is based on multi-source remote sensing DEM data generation. The steps are as follows: select control points in relatively stable and flat terrain area with Landsat ETM +, SRTM and ICESat remote sensing data as reference. The horizontal coordinates of the control points are obtained with Landsat ETM + l1t panchromatic image as the horizontal reference. The height coordinates of the control points are mainly obtained by ICESat gla14 elevation data, and are supplemented by SRTM elevation data in areas without ICESat distribution. Using the selected control points and automatically generated connection points, the lens distortion and residual deformation are compensated by Brown's physical model, so that the total RMSE of all stereo image pairs in the aerial triangulation results is less than 1 pixel. In order to edit the extracted DEM data to eliminate the obvious elevation abnormal value, DEM Interpolation, DEM filtering and DEM smoothing are used to edit the DEM on the glacier, and kh-9 DEM data in the West Kunlun West and West Kunlun east regions are spliced to form products.
0 2021-04-09
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