Remote sensing monitoring dataset of land use status in six provinces in western China for many years (1970s, 1980s, 1995, 2000, 2005, 2010, 2015)
  • 2019-09-15
  • 0
  • 1

The remote sensing monitoring database of land use status in China is a multi-temporal land use status database covering the land area of China, which has been established after many years of accumulation under the support of the National Science and Technology Support Plan and the Key Direction Project of the Knowledge Innovation Project of the Chinese Academy of Sciences. It is the most accurate remote sensing monitoring data product of land use in China at present, which has played an important role in the national land resources survey, hydrology and ecological research.   This data set covers the six western provinces in China: Xinjiang, Tibet, Qinghai, Yunnan, Sichuan and Gansu. Based on Landsat TM/ETM remote sensing images in the late 1970s、1980s、1995、2000、2005、2010、2015, 1KM raster data are generated by using the professional software and manual visual interpretation on the basis of vector data.   The land use types include six primary land types which are cultivated land, forest land, grassland, water area, residential land and unused land, and 25 secondary types.

More
Cattle stock at the end of the year (2000-2010)
  • 2019-09-13
  • 0
  • 1

The data include the data of cattle stock at the end of the year of Tibetan Plateau . The spatial area is divided by counties on the Tibetan Plateau. The time resolution is 5 years, and the time coverage is 2000, 2005, 2010.This data is obtained through statistics and collection of relevant literature, historical database records and other materials, and other data are acquired through purchase.The data can be used to analyze the agricultural production and meat price changes of each county on the Tibetan Plateau. In addition, the development differences of each county on the Tibetan Plateau can also be analyzed by comparing the data of the counties.

More
Landsat-based continuous monthly 30m×30m land surface NDVI dataset in Qilian Mountain area (1986-2017)
  • 2019-09-12
  • 0
  • 1

This data set includes the monthly synthesis of 30m*30m surface vegetation index products in Qilian mountain area in 1986, 1990, 1995, 2000, 2005, 2010, 2015, and 2017. Max value composition (MVC) method was used to synthesize monthly NDVI products on the surface using the reflectivity data of Landsat 5, Landsat 8 and sentinel 2 channels from Red and NIR channels. The data are synthesized monthly through Google Earth Engine cloud platform, and the missing pixels are interpolated by calculating the index of the model. The quality of the data is good, and it can be used in environmental change monitoring and other fields.

More
Dataset of key elements of desertification in Central and Western Asia (Amu River Basin) (1990、2000、2010)
  • 2019-09-12
  • 0
  • 1

Data set of key elements of desertification in Central and Western Asia (Amu river Basin), includes three parts: lakes distribution data, vegetation coverage data and NPP data. The spatial resolution of lakes distribution data and vegetation coverage data is 30 m, and includes three periods: 1990, 2000 and 2010. It is based on the interpretation and calculation of TM/ETM data; The spatial resolution of NPP data is 500 m, and includes two periods: 2000 and 2010 (Since no MODIS data in 1990, there is no 1990 data). It is based on the calculation of MODIS data. The data produced by the key laboratory of remote sensing and GIS, Xinjiang institute of ecology and geography, Chinese Academy of Sciences. Data production Supported by the Strategic Priority Research Program of Chinese Academy of Sciences, Grant No. XDA20030101.

More
Dataset of relief degree of land surface in the Green Silk Road
  • 2019-09-12
  • 0
  • 1

The Relief Degree of Land Surface is a comprehensive representation of regional altitude and surface cutting degree. Using the resampled Digital Elevation Model data and the Feng(2007) Model, the Relief Degree of Land Surface dataset of the Green Silk Road in 1km resolution was developed. The dataset includes the spatial distribution data of the Relief Degree of Land Surface, elevation, and flat area at 1km covering the Green Silk Road, as well as each country of the Green Silk Road.

More