TY  - Data
T1  - MODIS mod13a2 enhanced vegetation index (EVI) data set of Jinghe River Basin (2000-2021)
A1  - Zhang yaonan
DO  - 10.12072/ncdc.JRiver.db1967.2022
PY  - 2022
DA  - 2022-04-07
PB  - National Cryosphere Desert Data Center
AB  - The enhanced vegetation index (EVI) is improved from the normalized vegetation index (NDVI). It carries out a comprehensive atmospheric correction according to the image factors, atmospheric molecules, aerosols, thin clouds, water vapor and ozone contained in the atmospheric correction. Evi atmospheric correction is divided into three steps. The first step is cloud removal. The second step is atmospheric correction, which includes atmospheric molecules, aerosols, water vapor, etc. in addition to the existing Rayleigh scattering and ozone of NDVI. The third step is to further deal with the impact of residual aerosols by means of the difference between blue and red light passing through aerosols. Since the input NIR, red and blue are subject to relatively strict atmospheric correction, it is unnecessary to use the vegetation index based on NIR / red ratio in order to eliminate multiplicative noise when designing the vegetation index formula. Therefore, the problem of easy saturation of vegetation index and lack of linear relationship with actual vegetation coverage caused by this is solved. Evi is more sensitive to the changes of canopy structure, including leaf area index (LAI), canopy type, vegetation phase and canopy structure. Based on MODIS mod13a2 V006 enhanced vegetation index evi data set will cover the framing image of Jinghe River Basin, use MRT tool and python language code to carry out projection conversion and clipping processing, and generate MODIS mod13a2 evi data of Jinghe River Basin from 2000 to 2021. The spatial resolution of this data set is 1km and the temporal resolution is 16 days
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/f4075caa-7037-4df5-8643-5cbc5895f93b
ER  -