<p>This dataset is the MSWCI data of surface water content in five countries: Uzbekistan, Kyrgyzstan, Turkmenistan, Tajikistan and Kazakhstan in 2000 and 2010. The data set includes two types: ① Starting from the 97th day of 2000 and 2010 (inclusive), one surface water content img format file across the five Central Asian countries every 16 days, with a total of 24 grid files;② Two annual average surface water content data files in 2000MSWCI_Clip.img and 2010MSWCI_Clip.img format files. This dataset is generated by downscaling the raw data, with a spatial resolution of 250 meters, and adopts the Albers projection coordinate system. The data reflects the temporal changes and spatial distribution characteristics of surface water content in Central Asia, as well as the degree of vegetation water deficit. This data can be used for drought monitoring. </p>
| collect time | 2000/01/01 - 2010/01/01 |
|---|---|
| collect place | Kazakhstan; Kyrgyzstan; Tajikistan; Uzbekistan; Turkmenistan |
| data size | 307.7 MiB |
| data format | raster data |
| Coordinate system | WGS84 |
| Projection | Albers |
The data source comes from the MOD09A1 product. 1. MOD09A1 data on Days 97, 113, 129, 145, 161, 177, 193, 209, 225, 241, and 257 in 2000; 2. MOD09A1 data on Days 97, 113, 129, 145, 161, 177, 193, 209, 225, 241, and 257 in 2010;
The data uses the reflectance values of the 6th and 7th bands of MODIS data to obtain SWCI, and adds the L parameter to correct the SWCI to obtain the corrected surface water content index MSWCI. The revised surface water content index MSWCI was used to invert the surface water content of Central Asia every eight days from April 1 to September 31, 2000 and 2010, respectively, and then calculate the average water content of the region during these two periods.
The obtained data needs to be sorted out and calculated before it can be used. The meteorological observation data and MODIS data in the study area are sorted out and calculated, including blank data, missing data, quality defects, etc. The problematic data are analyzed and processed according to the situation to obtain high-precision data.
| # | number | name | type |
| 1 | 2010DFA92720 | Central Asia | International cooperation project of the Ministry of science and technology |
This work is licensed under a
Creative
Commons Attribution 4.0 International License.
| # | title | file size |
|---|---|---|
| 1 | Data.rar | 307.7 MiB |
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