The data set is the long-term vegetation index data set of Qaidam River Basin, which is mainly aimed at the normalized vegetation index (NDVI), including the spectral reflectance of four bands synthesized every 10 days from 1998 to 2008 and the 10 day maximum NDVI, with a spatial resolution of 1km and a temporal resolution of ten days. File format: one for. HFR and one for. Img. The file naming rule is: CHN ﹣ NDV ﹣ yyyymmdd, where yyyymmdd is the date of the day that the file represents, and is also the main identification different from other files. The remote sensing image files with the suffixes of. Img and. HDF used by users to analyze vegetation index can be opened in ENVI and ERDAS software
The vegetation sensor, sponsored by the European Commission, was launched by SPOT-4 in March 1998. It has received spotvgt data for global vegetation coverage observation since April 1998. The data is received by Kiruna ground station in Sweden, and the image quality monitoring center in Toulouse in France is responsible for image quality and provides relevant parameters (such as calibration system Finally, the vegetation processing center (ctiv) of Flemish Institute for technological research (Vito) in Belgium is responsible for preprocessing the data into 1km global data day by day.
Preprocessing includes atmospheric correction, radiation correction, geometric correction, and 10 day production to maximize the synthesized NDVI data, and set the value of - 1 to - 0.1 to - 0.1, and then convert it to the DN value of 0-250 through the formula DN = (NDVI + 0.1) / 0.004.
Data set quality control through strict manual audit
This work is licensed under
CC BY 4.0 (Creative Commons Attribution 4.0 International License).
CSTR:11738.11.ncdc.Westdc.2020.411
10.12072/ncdc.westdc.db3823.2023
