The data set is 1:700000 land cover data of Shaanxi Province in Northwest China in 1990. This data adopts a hierarchical land cover classification system. The first class of the classification system is consistent with the IPCC system, including 6 classes (woodland, grassland, wetland, cultivated land, artificial surface and others). The second class adopts 38 classes with global unified code generated by FAO LCCs. The main data sources are as follows: 1. Land use data in 1990's; 2. False color synthetic images of counties accurately corrected by Landsat at the same period of land use data; 3. Auxiliary data include 1:500000 grassland resource map (vector), 1:1000000 soil type map (vector), 1:1000000 vegetation type map (scan), etc
Based on remote sensing image acquisition.
Based on eCognition software platform, object-oriented classification method is adopted
The data quality is good
This work is licensed under a
Creative
Commons Attribution 4.0 International License.
CSTR:11738.11.ncdc.nieer.2020.1492
10.12072/ncdc.NIEER.db0079.2020