Based on the multi index desertification information extraction method with MODIS as the data source, taking mod09a1 and mod11a2 as the data sources, retrieve NDVI, MSAVI, albedo and FVC with mod09a1 products respectively, calculate LST with mod11a2 products, calculate TVDI with vegetation index and land surface temperature, and select the sample data of different types of desertification on the basis of artificial visual interpretation, By selecting the above six parameters, the dynamic characteristics of desertification in annual scale time series from 2000 to 2019 are obtained by machine learning and decision tree classification method.
Because there are obvious spatial differences in the reference background of desertification land, and this data set does not further divide the whole study area, there is an obvious gap between the desertification land area given in this data set and the visual interpretation results, but it can be used for the analysis of desertification land change trend in the study area.
The specific meanings of pixel values of grid data in each year are as follows:
0 represents non desertification land
1 represents slightly desertified land
2 represents moderately desertified land
3 represents heavily desertified land
4 represents seriously desertified land.
Based on Landsat 8 multispectral data, it is made according to 1:100000 scale standard.
Based on the multi index desertification information extraction method with MODIS as the data source, taking mod09a1 and mod11a2 as the data sources, retrieve NDVI, MSAVI, albedo and FVC with mod09a1 products respectively, calculate LST with mod11a2 products, calculate TVDI with vegetation index and land surface temperature, and select the sample data of different types of desertification on the basis of artificial visual interpretation, By selecting the above six parameters, the dynamic characteristics of desertification in annual scale time series from 2000 to 2019 are obtained by machine learning and decision tree classification method.
Good data quality
| # | number | name | type |
| 1 | 2016YFC0500900 | National key R & D plan |
This work is licensed under
CC BY 4.0 (Creative Commons Attribution 4.0 International License).
CSTR:11738.11.ncdc.ZDYF.db1683.2022
10.12072/ncdc.ZDYF.db1683.2022
