Vegetation index is an index that mainly reflects the difference between the reflection of vegetation in visible light and near-infrared band and soil background. Each vegetation index can be used to quantitatively describe the growth status of vegetation under certain conditions. At present, normalized vegetation index (NDVI) is an important data source for detecting vegetation growth status, vegetation coverage and eliminating some radiation errors.
NDVI can reflect the background influence of plant canopy, such as soil, wet ground, snow, dead leaves, roughness, etc., and is related to vegetation cover. It is one of the important parameters reflecting crop growth and nutritional information. According to this parameter, we can know the nitrogen demand of crops in different seasons, and it also plays an important guiding role in the rational application of nitrogen fertilizer.
Based on modis-2000, modis-2000 and modis-2000 are used to convert the watershed data set, and the watershed data of Jinghe River is generated based on modis-2000. The spatial resolution of this data set is 1km and the temporal resolution is 16 days
The data source of this data set is mod13a2 V006 version data from NASA official website（ https://ladsweb.modaps.eosdis.nasa.gov )。
(1) Test run the MRT tool and generate the PRM file converted by mod13a2 NDVI projection, with a spatial resolution of 1000 m;
(2) Using MATLAB language program to generate batch file calling MRT tool and run it;
(3) Using the vector boundary of Jinghe River Basin, using Python batch cutting and other steps, and finally using GeoTIFF format to output and save.
This data set is the same as the source data set MODIS mod13a2 V006 consistent quality. The valid range of data is - 2000 to 10000, the scaling factor is 0.0001, and the filling value is - 3000.
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CSTR:11738.11.ncdc.JRiver.db1971.2022
10.12072/ncdc.JRiver.db1971.2022