Atmospheric correction of APEX hyperspectral data
Atmospheric correction plays a crucial role among the processing steps applied to remotely sensed hyperspectral data. Atmospheric correction comprises a group of procedures needed to remove atmospheric effects from observed spectra, i.e. the transformation from at-sensor radiances to at-surface radi...
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Format: | Article |
Language: | English |
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Sciendo
2016-03-01
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Series: | Miscellanea Geographica: Regional Studies on Development |
Subjects: | |
Online Access: | https://doi.org/10.1515/mgrsd-2015-0022 |
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author | Sterckx Sindy Vreys Kristin Biesemans Jan Iordache Marian-Daniel Bertels Luc Meuleman Koen |
author_facet | Sterckx Sindy Vreys Kristin Biesemans Jan Iordache Marian-Daniel Bertels Luc Meuleman Koen |
author_sort | Sterckx Sindy |
collection | DOAJ |
description | Atmospheric correction plays a crucial role among the processing steps applied to remotely sensed hyperspectral data. Atmospheric correction comprises a group of procedures needed to remove atmospheric effects from observed spectra, i.e. the transformation from at-sensor radiances to at-surface radiances or reflectances. In this paper we present the different steps in the atmospheric correction process for APEX hyperspectral data as applied by the Central Data Processing Center (CDPC) at the Flemish Institute for Technological Research (VITO, Mol, Belgium). The MODerate resolution atmospheric TRANsmission program (MODTRAN) is used to determine the source of radiation and for applying the actual atmospheric correction. As part of the overall correction process, supporting algorithms are provided in order to derive MODTRAN configuration parameters and to account for specific effects, e.g. correction for adjacency effects, haze and shadow correction, and topographic BRDF correction. The methods and theory underlying these corrections and an example of an application are presented. |
first_indexed | 2024-12-17T19:13:10Z |
format | Article |
id | doaj.art-847450bb8dec41e994cc7a16d0d75712 |
institution | Directory Open Access Journal |
issn | 2084-6118 |
language | English |
last_indexed | 2024-12-17T19:13:10Z |
publishDate | 2016-03-01 |
publisher | Sciendo |
record_format | Article |
series | Miscellanea Geographica: Regional Studies on Development |
spelling | doaj.art-847450bb8dec41e994cc7a16d0d757122022-12-21T21:35:49ZengSciendoMiscellanea Geographica: Regional Studies on Development2084-61182016-03-01201162010.1515/mgrsd-2015-0022mgrsd-2015-0022Atmospheric correction of APEX hyperspectral dataSterckx Sindy0Vreys Kristin1Biesemans Jan2Iordache Marian-Daniel3Bertels Luc4Meuleman Koen5Flemish Institute for Technological Research (VITO NV), BelgiumFlemish Institute for Technological Research (VITO NV), BelgiumFlemish Institute for Technological Research (VITO NV), BelgiumFlemish Institute for Technological Research (VITO NV), BelgiumFlemish Institute for Technological Research (VITO NV), BelgiumFlemish Institute for Technological Research (VITO NV), BelgiumAtmospheric correction plays a crucial role among the processing steps applied to remotely sensed hyperspectral data. Atmospheric correction comprises a group of procedures needed to remove atmospheric effects from observed spectra, i.e. the transformation from at-sensor radiances to at-surface radiances or reflectances. In this paper we present the different steps in the atmospheric correction process for APEX hyperspectral data as applied by the Central Data Processing Center (CDPC) at the Flemish Institute for Technological Research (VITO, Mol, Belgium). The MODerate resolution atmospheric TRANsmission program (MODTRAN) is used to determine the source of radiation and for applying the actual atmospheric correction. As part of the overall correction process, supporting algorithms are provided in order to derive MODTRAN configuration parameters and to account for specific effects, e.g. correction for adjacency effects, haze and shadow correction, and topographic BRDF correction. The methods and theory underlying these corrections and an example of an application are presented.https://doi.org/10.1515/mgrsd-2015-0022hyperspectralatmospheric correctionautomatic workflowreflectanceapexmodtran |
spellingShingle | Sterckx Sindy Vreys Kristin Biesemans Jan Iordache Marian-Daniel Bertels Luc Meuleman Koen Atmospheric correction of APEX hyperspectral data Miscellanea Geographica: Regional Studies on Development hyperspectral atmospheric correction automatic workflow reflectance apex modtran |
title | Atmospheric correction of APEX hyperspectral data |
title_full | Atmospheric correction of APEX hyperspectral data |
title_fullStr | Atmospheric correction of APEX hyperspectral data |
title_full_unstemmed | Atmospheric correction of APEX hyperspectral data |
title_short | Atmospheric correction of APEX hyperspectral data |
title_sort | atmospheric correction of apex hyperspectral data |
topic | hyperspectral atmospheric correction automatic workflow reflectance apex modtran |
url | https://doi.org/10.1515/mgrsd-2015-0022 |
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