This data set contains 24 image file data: ① mswci data on the 97th, 113th, 129th, 145th, 161th, 177th, 193, 209, 225, 241 and 257th days in 2000; ② mswci data on the 97th, 113th, 129th, 145, 161, 177, 193, 209, 225, 241 and 257th days in 2010; ③ 2000mswci_clip, the average surface water content data from April to September in the growth season of 2000; ④ 2010 Mswci clip is the average surface water content data from April to September in the growth season of 2010. These data reflect the temporal change and spatial distribution characteristics of surface water content in Central Asia, and reflect the degree of vegetation water deficit, which can be used for drought monitoring. This data is based on the 6th and 7th band reflectance of MODIS data to get swci, adding l parameter to modify swci to get the modified surface water content index mswci. Using the modified surface water content index (mswci), the surface water content of Central Asia in every 8 days from April 1, 2000 to September 31, 2010 is inversely performed, and then the average water content of the two periods is calculated.
Main data sources: 1. Mod09a1 data on the 97th, 113, 129, 145, 161, 177, 193, 209, 225, 241, 257 days in 2000; 2. Mod09a1 data on the 97th, 113, 129, 145, 161, 177, 193, 209, 225, 241, 257 days in 2010
The corresponding MODIS product is used to convert it into the actual surface water content, that is, the surface water content of the designated date is obtained first, and then the average surface water content of the designated time period in the area is obtained.
The acquired data can only be used after sorting and calculation processing. The meteorological observation data and MODIS data in the study area shall be sorted and calculated, including blank data, missing data and quality defects. The problematic data shall be analyzed and processed according to the situation to obtain high-precision data.
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