Estimation and Spatiotemporal Distribution of Vegetation NPP Based on FY4A Geostationary Satellite:A Case Study of Chongqing in Cloudy and Rainy Mountainous Region
Geostationary Satellites with optical payloads have the potential for wide application in ecological environmental monitoring in areas with frequent cloud cover and rainfall due to their high-frequency observation characteristics.However,there is still a significant lack of monitoring and assessment of net primary productivity(NPP)of vegetation in cloudy and rainy mountainous areas in Southwest China using geostationary satellites.This study takes Chongqing as the study area and uses FY4A geostationary satellite and its data to calculate the normalized difference vegetation index(NDVI).ANUSPLIN software is used to interpolate meteorological station data into grid data,serving as input data for the CASA model.Based on this,the vegetation NPP in 2021 is estimated,and its spatial and temporal distribution is analyzed.The validation results of FY4A-NDVI and MODIS-NDVI show good spatial and temporal consistency,which provides reliable model input data for estimating the vegetation NPP.The validation results of FY4A-NPP with NMC-NPP and MODIS-NPP products show high spatial and temporal consistency,with correlation coefficients of 0.95 and 0.84,respectively.The vegetation NPP in Chongqing shows an increasing-decreasing trend throughout the year,and the seasonal order is summer＞autumn＞spring＞winter.The high-value areas of NPP are mainly concentrated in the northeast counties of Chongqing,while low-value areas are distributed in the western and central urban districts.The research results can provide reference for the application of geostationary satellites in ecological environment monitoring.
geostationary satelliteFY4Anet primary productivity of vegetationcloudy and rainy mountainous region
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