<p>This dataset is the average vegetation index data of five countries in 2000 and 2010: Uzbekistan, Kyrgyzstan, Turkmenistan, Tajikistan and Kazakhstan. The data set includes two types: ① Two annual average surface temperature data NDVI_2000.img and NDVI_2010.img format files from April to September.② Set the abnormal values to NoData's NDVI_2000_setNull.img and NDVI_2010_setNull.img data; this data set is generated through down-scaling processing of the original data, with a spatial resolution of 250 meters, and adopts the Albers projection coordinate system. The data reflects the surface vegetation coverage and is suitable for the detection of early development stages or low coverage vegetation. </p>
| collect time | 2000/01/01 - 2010/12/31 |
|---|---|
| collect place | Kazakhstan; Kyrgyzstan; Tajikistan; Uzbekistan; Turkmenistan |
| data size | 38.2 MiB |
| data format | raster data |
| Coordinate system | WGS84 |
| Projection | Albers |
Download 2000 and 2010 MOD13A2 data from the official MODIS website ladsweb.nascom.nasa.gov
This data is based on MOD13A2 data, which goes through processes such as splicing, clipping, and projection transformation to obtain the vegetation index on the specified date, and then calculates the average vegetation index for the corresponding year; and then goes through abnormal value processing to obtain vegetation index data that is more consistent with statistical results.
Meteorological observation data and MODIS data within the study area were also sorted and calculated simultaneously, providing support for improving the accuracy of NDVI data; problematic data were analyzed in detail, and interpolation, elimination or correction were adopted according to specific conditions, and a highly accurate NDVI data set was finally obtained; the data has undergone strict quality control and can accurately characterize the temporal and spatial changes in vegetation cover.
| # | number | name | type |
| 1 | 2010DFA92720 | Central Asia | International cooperation project of the Ministry of science and technology |
This work is licensed under a
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Commons Attribution 4.0 International License.
| # | title | file size |
|---|---|---|
| 1 | Data.rar | 38.2 MiB |
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