Atmospheric Correction and Evaluation of SPOT6 Satellite Image Based On FLAASH Model
Yang Ya-l
Abstract
Yang Ya-l
Abstract
Influenced by atmospheric absorption and scattering,the difference between the sensors received radiation information and the surface real reflect information will impact to analysis precision of images.So an atmospheric correction of remote sensing images,which removes the atmospheric influence,is an essential part of image processing.SPOT6 satellite multi-spectral data in ORDOS coalfield is selected to carries on the radiation calibration.Using FLAASH model for the atmospheric correction,analyzing the visual,the typical surface reflectance spectral curve,the normalized difference vegetation index(NDVI)and the vegetation coverage differences between the images before and after correction.It is shown that image feature characteristics is distinctive,reflectivity vary greatly,it can restore the surface real information better;NDVI is increased considerably,the average vegetation coverage is increased,it can restore more relatively accurate information of vegetation.The results show that,the FLAASH model can eliminate atmospheric effects effectively,has a good correction effect on the SPOT6 satellite images.
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Influenced by atmospheric absorption and scattering,the difference between the sensors received radiation information and the surface real reflect information will impact to analysis precision of images.So an atmospheric correction of remote sensing images,which removes the atmospheric influence,is an essential part of image processing.SPOT6 satellite multi-spectral data in ORDOS coalfield is selected to carries on the radiation calibration.Using FLAASH model for the atmospheric correction,analyzing the visual,the typical surface reflectance spectral curve,the normalized difference vegetation index(NDVI)and the vegetation coverage differences between the images before and after correction.It is shown that image feature characteristics is distinctive,reflectivity vary greatly,it can restore the surface real information better;NDVI is increased considerably,the average vegetation coverage is increased,it can restore more relatively accurate information of vegetation.The results show that,the FLAASH model can eliminate atmospheric effects effectively,has a good correction effect on the SPOT6 satellite images.
Key concepts: Normalized Difference Vegetation Index, Atmospheric correction, Remote sensing, Satellite, Environmental science, Vegetation (pathology), Diffuse sky radiation, Reflectivity