Comparative assessment of atmospheric correction of Landsat imagery using Modtran and dark object subtraction.

Detalhes bibliográficos
Autor(a) principal: LOEBMANN, D. G. dos S. W.
Data de Publicação: 2012
Outros Autores: VICENTE, L. E., DE PAULA, S. C., VICTORIA, D. de C., ANDRADE, R. G., SILVA, R. F. B. DA, AGNESE, M. L.
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/952219
Resumo: Remote sensing by spectral imaging of the Earth's surface can be widely used, but only when the atmospheric influence is nullified and the data are reduced to surface reflectance units. The atmospheric correction referred to here is an atmospheric "compensation" or "characterization" in which algorithms are used in remote sensing applications for hyper and multispectral images to correct atmospheric propagation effects in measurements taken by airborne and orbital systems. The remission of atmospheric effects guarantees the identification of biophysical properties of the targets and their isonomic relationship with spectroradiometric databases, thus enabling the application of sophisticated classification methods such as linear Spectral Mixture Analysis models (SMA) and Spectral Indexes. Based on this premise, the objective of this article is to compare the atmospheric correction used in the MODTRAN model with that used in the Dark Object Subtraction (DOS1) and Improved Dark Object Subtraction (DOS2) models in order to verify which approach shows better correspondence with reference spectral libraries. We used spectral data on tropical soils obtained using the spectroradiometer (FieldSpec Full Resolution). Due to the difficulty in obtaining data on atmospheric conditions, especially for tropical regions, and the difficulty in accessing the most reliable correction procedures, corrections are sometimes disregarded or even based on extremely simple methods which may produce radiance and reflectance estimation errors even greater than tho se of the original images. MODTRAN presented the most consistent results, especially with regard to season variation and the presence of haze (low contrast) in some images due to the high aerosol concentration. This kind of atmospheric phenomenon is common in tropical regions, which shows the importance of considering local atmospheric correction parameters based on an atmosphere simulation model. Methods DO S1 and DOS2, in spite of their good performance in some of the analyzed areas, have not been effective in the suppression of effects related to atmospheric absorption. This work is one of the few that considers different test targets in a tropical environment with season variation.
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spelling Comparative assessment of atmospheric correction of Landsat imagery using Modtran and dark object subtraction.Spectral imagingRemote sensingRemote sensing by spectral imaging of the Earth's surface can be widely used, but only when the atmospheric influence is nullified and the data are reduced to surface reflectance units. The atmospheric correction referred to here is an atmospheric "compensation" or "characterization" in which algorithms are used in remote sensing applications for hyper and multispectral images to correct atmospheric propagation effects in measurements taken by airborne and orbital systems. The remission of atmospheric effects guarantees the identification of biophysical properties of the targets and their isonomic relationship with spectroradiometric databases, thus enabling the application of sophisticated classification methods such as linear Spectral Mixture Analysis models (SMA) and Spectral Indexes. Based on this premise, the objective of this article is to compare the atmospheric correction used in the MODTRAN model with that used in the Dark Object Subtraction (DOS1) and Improved Dark Object Subtraction (DOS2) models in order to verify which approach shows better correspondence with reference spectral libraries. We used spectral data on tropical soils obtained using the spectroradiometer (FieldSpec Full Resolution). Due to the difficulty in obtaining data on atmospheric conditions, especially for tropical regions, and the difficulty in accessing the most reliable correction procedures, corrections are sometimes disregarded or even based on extremely simple methods which may produce radiance and reflectance estimation errors even greater than tho se of the original images. MODTRAN presented the most consistent results, especially with regard to season variation and the presence of haze (low contrast) in some images due to the high aerosol concentration. This kind of atmospheric phenomenon is common in tropical regions, which shows the importance of considering local atmospheric correction parameters based on an atmosphere simulation model. Methods DO S1 and DOS2, in spite of their good performance in some of the analyzed areas, have not been effective in the suppression of effects related to atmospheric absorption. This work is one of the few that considers different test targets in a tropical environment with season variation.DANIEL GOMES DOS SANTOS W LOEBMANN, CNPM; LUIZ EDUARDO VICENTE, CNPM; STELLA CARVALHO DE PAULA, BOLSISTA CNPM; DANIEL DE CASTRO VICTORIA, CNPM; RICARDO GUIMARAES ANDRADE, CNPM; RAMON FELIPE BICUDO DA SILVA, UNICAMP; MAURÍCIO LOPES AGNESE, BOLSISTA CNPM.LOEBMANN, D. G. dos S. W.VICENTE, L. E.DE PAULA, S. C.VICTORIA, D. de C.ANDRADE, R. G.SILVA, R. F. B. DAAGNESE, M. L.2013-03-05T23:34:54Z2013-03-05T23:34:54Z2013-03-0520122013-03-05T23:34:54ZResumo em anais e proceedingsinfo:eu-repo/semantics/publishedVersion1 p.In: SYMPOSIUM SELPER, 15., 2012, Cayenne, French Guiana. Abstracts... Cayenne: SELPER, 2012.http://www.alice.cnptia.embrapa.br/alice/handle/doc/952219enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-08-16T00:29:58Zoai:www.alice.cnptia.embrapa.br:doc/952219Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T00:29:58Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Comparative assessment of atmospheric correction of Landsat imagery using Modtran and dark object subtraction.
title Comparative assessment of atmospheric correction of Landsat imagery using Modtran and dark object subtraction.
spellingShingle Comparative assessment of atmospheric correction of Landsat imagery using Modtran and dark object subtraction.
LOEBMANN, D. G. dos S. W.
Spectral imaging
Remote sensing
title_short Comparative assessment of atmospheric correction of Landsat imagery using Modtran and dark object subtraction.
title_full Comparative assessment of atmospheric correction of Landsat imagery using Modtran and dark object subtraction.
title_fullStr Comparative assessment of atmospheric correction of Landsat imagery using Modtran and dark object subtraction.
title_full_unstemmed Comparative assessment of atmospheric correction of Landsat imagery using Modtran and dark object subtraction.
title_sort Comparative assessment of atmospheric correction of Landsat imagery using Modtran and dark object subtraction.
author LOEBMANN, D. G. dos S. W.
author_facet LOEBMANN, D. G. dos S. W.
VICENTE, L. E.
DE PAULA, S. C.
VICTORIA, D. de C.
ANDRADE, R. G.
SILVA, R. F. B. DA
AGNESE, M. L.
author_role author
author2 VICENTE, L. E.
DE PAULA, S. C.
VICTORIA, D. de C.
ANDRADE, R. G.
SILVA, R. F. B. DA
AGNESE, M. L.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv DANIEL GOMES DOS SANTOS W LOEBMANN, CNPM; LUIZ EDUARDO VICENTE, CNPM; STELLA CARVALHO DE PAULA, BOLSISTA CNPM; DANIEL DE CASTRO VICTORIA, CNPM; RICARDO GUIMARAES ANDRADE, CNPM; RAMON FELIPE BICUDO DA SILVA, UNICAMP; MAURÍCIO LOPES AGNESE, BOLSISTA CNPM.
dc.contributor.author.fl_str_mv LOEBMANN, D. G. dos S. W.
VICENTE, L. E.
DE PAULA, S. C.
VICTORIA, D. de C.
ANDRADE, R. G.
SILVA, R. F. B. DA
AGNESE, M. L.
dc.subject.por.fl_str_mv Spectral imaging
Remote sensing
topic Spectral imaging
Remote sensing
description Remote sensing by spectral imaging of the Earth's surface can be widely used, but only when the atmospheric influence is nullified and the data are reduced to surface reflectance units. The atmospheric correction referred to here is an atmospheric "compensation" or "characterization" in which algorithms are used in remote sensing applications for hyper and multispectral images to correct atmospheric propagation effects in measurements taken by airborne and orbital systems. The remission of atmospheric effects guarantees the identification of biophysical properties of the targets and their isonomic relationship with spectroradiometric databases, thus enabling the application of sophisticated classification methods such as linear Spectral Mixture Analysis models (SMA) and Spectral Indexes. Based on this premise, the objective of this article is to compare the atmospheric correction used in the MODTRAN model with that used in the Dark Object Subtraction (DOS1) and Improved Dark Object Subtraction (DOS2) models in order to verify which approach shows better correspondence with reference spectral libraries. We used spectral data on tropical soils obtained using the spectroradiometer (FieldSpec Full Resolution). Due to the difficulty in obtaining data on atmospheric conditions, especially for tropical regions, and the difficulty in accessing the most reliable correction procedures, corrections are sometimes disregarded or even based on extremely simple methods which may produce radiance and reflectance estimation errors even greater than tho se of the original images. MODTRAN presented the most consistent results, especially with regard to season variation and the presence of haze (low contrast) in some images due to the high aerosol concentration. This kind of atmospheric phenomenon is common in tropical regions, which shows the importance of considering local atmospheric correction parameters based on an atmosphere simulation model. Methods DO S1 and DOS2, in spite of their good performance in some of the analyzed areas, have not been effective in the suppression of effects related to atmospheric absorption. This work is one of the few that considers different test targets in a tropical environment with season variation.
publishDate 2012
dc.date.none.fl_str_mv 2012
2013-03-05T23:34:54Z
2013-03-05T23:34:54Z
2013-03-05
2013-03-05T23:34:54Z
dc.type.driver.fl_str_mv Resumo em anais e proceedings
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv In: SYMPOSIUM SELPER, 15., 2012, Cayenne, French Guiana. Abstracts... Cayenne: SELPER, 2012.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/952219
identifier_str_mv In: SYMPOSIUM SELPER, 15., 2012, Cayenne, French Guiana. Abstracts... Cayenne: SELPER, 2012.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/952219
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1 p.
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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