Characteristic difference analysis and transfer parameter determination for different satellites to detect NDVI values

Abstract

Here we propose a new method of NDVI difference analysis and NDVI difference correction for multi-sensors to detect NDVI. This method integrate PROSPECT model, SAIL model and MODTRAN atmospheric radioactive transfer model to simulate the remote sensing signals of different satellites for both NDVI difference analysis and correction without using real satellite images. The effects of both the sensors’ spectral responses and atmospheric condition are simulated, and the differences among NDVI values derived from thirty different satellites are analyzed quantitatively. Focusing on the conversions of NDVI values among different satellites, through linear regression analysis, we estimate the transfer parameters between any two different satellite NDVI values, and present the lookup tables of transfer parameters under the atmospheric conditions of three surface visibility range values (10, 23 and 50 km). The proposed method is useful for NDVI applications and analyses for multi-sensors.