Abstract

A Hyper-Spectral Imaging sensor(HSI) developed independently by China was loaded on the HJ-1A satellite and put into service on March 30,2009.As a new type of sensors,the applications of HSI are still in the exploration stage.In order to make full use of HSI data and carry out effective remote sensing applications,the first thing need to do is to eliminate the atmospheric effect in the process of imaging and obtaining the real land surface radiation information.The FLAASH(Fast Line of Sight Atmospheric Analysis of Spectral Hypercubes) atmospheric correction model is used to correct the atmospheric effect of HJ-1A/HSI data.The corrected spectral reflectance is compared with the apparent reflectance,and the validity of atmospheric effect correction method is well demonstrated.Meanwhile the preliminary application effect of HSI data is exhibited by the retrievals of modified soil adjusted vegetation index(MSAVI) and leaf area index(LAI) based on the atmospherically corrected spectral reflectance image.

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