2012Geographical ResearchRequires access

Atmospheric correction and verification of the SPOT remote sensing image in coastal zones

Gao Wei-ming

Open publisher page 3 citations

Abstract

In order to obtain the best atmospheric correction about true surface reflectance in the coastal zones,three models,i.e,DOS,6S and FLAASH,were used to correct the atmospheric condition of SPOT image.In comparison of the change conditions by different index factors,including spectrum curves of typical surface features and NDVI,the accuracy of results were verified.The results are shown as follows.Firstly,three atmospheric correction models could be used to obtain surface reflectance information correctly,and to remove the effect of the atmosphere on remote sensing images,which is caused by different atmospheric conditions.Secondly,the paper took spectral curves of six typical objects as an example to compare correction effects,such as river,reservoir,sea,vegetation,urban and bare soil.FLAASH model,compared with DOS and 6S model,showed greater differences and more obvious characteristics in the reflectivity of surface features.Except that,it was better in coinciding with spectrum curves of real typical surface features than the others.Thirdly,FLAASH model responded to NDVI index of surface features more strongly.Furthermore,it was the best one about atmospheric correction of SPOT satellite images in coastal zones.The study methods and results could provide the reference for similar studies.

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What this paper is about

In order to obtain the best atmospheric correction about true surface reflectance in the coastal zones,three models,i.e,DOS,6S and FLAASH,were used to correct the atmospheric condition of SPOT image.In comparison of the change conditions by different index factors,including spectrum curves of typical surface features and NDVI,the accuracy of results were verified.The results are shown as follows.Firstly,three atmospheric correction models could be used to obtain surface reflectance information correctly,and to remove the effect of the atmosphere on remote sensing images,which is caused by different atmospheric conditions.Secondly,the paper took spectral curves of six typical objects as an example to compare correction effects,such as river,reservoir,sea,vegetation,urban and bare soil.FLAASH model,compared with DOS and 6S model,showed greater differences and more obvious characteristics in the reflectivity of surface features.Except that,it was better in coinciding with spectrum curves of real typical surface features than the others.Thirdly,FLAASH model responded to NDVI index of surface features more strongly.Furthermore,it was the best one about atmospheric correction of SPOT satellite images in coastal zones.The study methods and results could provide the reference for similar studies.

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Available abstract

In order to obtain the best atmospheric correction about true surface reflectance in the coastal zones,three models,i.e,DOS,6S and FLAASH,were used to correct the atmospheric condition of SPOT image.In comparison of the change conditions by different index factors,including spectrum curves of typical surface features and NDVI,the accuracy of results were verified.The results are shown as follows.Firstly,three atmospheric correction models could be used to obtain surface reflectance information correctly,and to remove the effect of the atmosphere on remote sensing images,which is caused by different atmospheric conditions.Secondly,the paper took spectral curves of six typical objects as an example to compare correction effects,such as river,reservoir,sea,vegetation,urban and bare soil.FLAASH model,compared with DOS and 6S model,showed greater differences and more obvious characteristics in the reflectivity of surface features.Except that,it was better in coinciding with spectrum curves of real typical surface features than the others.Thirdly,FLAASH model responded to NDVI index of surface features more strongly.Furthermore,it was the best one about atmospheric correction of SPOT satellite images in coastal zones.The study methods and results could provide the reference for similar studies.

Key concepts: Atmospheric correction, Normalized Difference Vegetation Index, Remote sensing, Satellite, Reflectivity, Environmental science, Atmospheric model, Atmosphere (unit)

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