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Registro Completo |
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
05/03/2013 |
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Data da última atualização: |
05/03/2013 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
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. |
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Afiliação: |
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. |
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Título: |
Comparative assessment of atmospheric correction of Landsat imagery using Modtran and dark object subtraction. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
In: SYMPOSIUM SELPER, 15., 2012, Cayenne, French Guiana. Abstracts... Cayenne: SELPER, 2012. |
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Páginas: |
1 p. |
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Idioma: |
Inglês |
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Conteúdo: |
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. MenosRemote 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 ra... Mostrar Tudo |
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Palavras-Chave: |
Spectral imaging. |
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Thesaurus Nal: |
Remote sensing. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/77978/1/Daniel-Gomes.pdf
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Marc: |
LEADER 02974nam a2200217 a 4500
001 1952219
005 2013-03-05
008 2012 bl uuuu u00u1 u #d
100 1 $aLOEBMANN, D. G. dos S. W.
245 $aComparative assessment of atmospheric correction of Landsat imagery using Modtran and dark object subtraction.$h[electronic resource]
260 $aIn: SYMPOSIUM SELPER, 15., 2012, Cayenne, French Guiana. Abstracts... Cayenne: SELPER$c2012
300 $a1 p.
520 $aRemote 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.
650 $aRemote sensing
653 $aSpectral imaging
700 1 $aVICENTE, L. E.
700 1 $aDE PAULA, S. C.
700 1 $aVICTORIA, D. de C.
700 1 $aANDRADE, R. G.
700 1 $aSILVA, R. F. B. DA
700 1 $aAGNESE, M. L.
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Registro original: |
Embrapa Territorial (CNPM) |
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| Registros recuperados : 24 | |
| 13. |  | SILVA, R. F. B. da; BATISTELLA, M.; MILLINGTON, J. D. A.; MORAN, E.; MARTINELLI, L. A.; DOU, Y.; LIU, J. Three decades of changes in Brazilian municipalities and their food production systems. Land, v. 9, n. 11, p. 1-17, Nov. 2020.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 2 |
| Biblioteca(s): Embrapa Agricultura Digital. |
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| 14. | | VICTORIA, D. de C.; SILVA, R. F. B. da; MILLINGTON, J. D. A.; KATERINCHUK, V.; BATISTELLA, M. Transport cost to port though Brazilian federal roads network: dataset for years 2000, 2005, 2010 and 2017. Data in Brief, v. 36, p. 1-10, June 2021. Article 107070.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Agricultura Digital. |
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| 15. | | SILVA, R. F. B. da; MILLINGTON, J. D. A.; VIÑA, A.; DOU, Y.; MORAN, E.; BATISTELLA, M.; LAPOLA, D. M.; LIU, J. Balancing food production with climate change mitigation and biodiversity conservation in the Brazilian Amazon. Science of The Total Environment, v. 904, 166681, Dec. 2023.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Agricultura Digital. |
|  |
| 16. | | 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. Comparative assessment of atmospheric correction of Landsat imagery using Modtran and dark object subtraction. In: SYMPOSIUM SELPER, 15., 2012, Cayenne, French Guiana. Abstracts... Cayenne: SELPER, 2012. 1 p.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Territorial. |
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| 17. | | DOU, Y.; MILLINGTON, J. D. A.; SILVA, R. F. B. da; MCCORD, P.; VIÑA, A.; SONG, Q.; YU, Q.; WU, W.; BATISTELLA, M.; MORAN, E.; LIU, J. Land-use changes across distant places: design of a telecoupledagent-based model. Journal of Land Use Science, v. 14, n. 3, p. 191-209, 2019.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Agricultura Digital. |
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| 18. | | DOU, Y.; YAO, G.; HERZBERGER, A.; SILVA, R. F. B. da; SONG, Q.; HOVIS, C.; BATISTELLA, M.; MORAN, E.; WU, W.; LIU, J. Land-use changes in distant places: implementation of a telecoupled agent-based model. Journal of Artificial Societies and Social Simulation, v. 23, n. 1, 2020. Article 11.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Agricultura Digital. |
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| 19. | | BARBOSA, A. M. C.; SILVA, R. F. B. da; LIMA, C. S.; SILVA, C. de F. B. da; BORGES, W. L. Inibição do crescimento micelial de Fusarium oxysporum f.sp. cubense, causador do mal-do-panamá, por isolados de Bacillus sp. In: ENCONTRO DE INICIAÇÃO CIENTÍFICA DA EMBRAPA AGROINDÚSTRIA TROPICAL, 19., 2022, Fortaleza. Resumos... Fortaleza: Embrapa Agroindústria Tropical, 2023. p. 11.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Amapá. |
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| 20. | | SILVA, R. F. B. da; VICTORIA, D. de C.; NOSSACK, F. A.; VIÑA, A.; MILLINGTON, J. D. A.; VIEIRA, S. A.; BATISTELLA, M.; MORAN, E.; LIU, J. Slow-down of deforestation following a Brazilian forest policy was less effective on private lands than in all conservation areas. Communications Earth & Environment, v. 4, 111, 2023.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Agricultura Digital. |
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| Registros recuperados : 24 | |
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