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20. | | PADOVANI, C. R.; MAIA, A. de H. N.; PAZIANOTTO, R. A. A. Modelos estatísticos para a modelagem hidrológica da Bacia do Alto Paraguai-Pantanal. In: SEMINÁRIO DA REDE AGROHIDRO, 3., WORKSHOP DO PROJETO OS IMPACTOS DA AGRICULTURA E DAS MUDANÇAS CLIMÁTICAS NOS RECURSOS HÍDRICOS, 1., 2015, Corumbá, MS. Água na agricultura : desafios frente às mudanças climáticas e de uso da terra: resumos. Brasília, DF: Embrapa, 2015. p. 48 Biblioteca(s): Embrapa Meio Ambiente; Embrapa Pantanal. |
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Registros recuperados : 57 | |
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Registro Completo
Biblioteca(s): |
Embrapa Meio Ambiente. |
Data corrente: |
21/01/2020 |
Data da última atualização: |
21/01/2020 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
VICENTE, L. E.; LOEBMANN, D. G. dos S. W.; PAZIANOTTO, R. A. A.; FAGGIONI, M.; GOMES, A. C. C. |
Afiliação: |
LUIZ EDUARDO VICENTE, CNPMA; DANIEL GOMES DOS SANTOS W LOEBMANN, CNPMA; RICARDO ANTONIO ALMEIDA PAZIANOTTO, CNPMA; MIGUEL FAGGIONI, UNICAMP; ANA CAROLINA CAMPOS GOMES. |
Título: |
SCAI-r: an algorithm for obtaining synoptic and spatial atmospheric parameters. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 19., 2019, Santos. Anais... São José dos Campos: INPE, 2019. Ref. 96399. |
Páginas: |
p. 1-4. |
ISBN: |
978-85-17-00097-3 |
Idioma: |
Inglês |
Conteúdo: |
Abstract: The highest performance of multiband optical data (Visible - VIS ? Shortwave Infrared - SWIR ? (400-2500 nm) (e.g. imaging spectroscopy approaches) can be reached mainly through atmospheric correction effects; the conversion of the image values to surface reflectance, allowing, for instance, to estimate the amount of biochemical compounds in the target. This work aims to present an algorithm dedicated to atmospheric parameters obtaining from MODIS and related sensors, encapsulated in a user-friendly interface through Software to Collect Atmospheric Information (SCAI-r), applied to the correction of atmosphere effects on Rapideye image. The results show that SCAI-r generates information needed to perform atmospheric correction and that it has a greater influence over water-related objects, when compared to parameters randomly inserted as input data in atmospheric correction algorithms. |
Palavras-Chave: |
Aerosol Optical Thickness; Atmospheric Correction; Radiative Transfer Model; RapidEye; Visibility. |
Thesagro: |
Satélite; Sensoriamento Remoto. |
Thesaurus NAL: |
Radiative transfer; Remote sensing. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/209287/1/Vicente-scai-algorithm-2019.pdf
|
Marc: |
LEADER 01844nam a2200289 a 4500 001 2119121 005 2020-01-21 008 2019 bl uuuu u00u1 u #d 020 $a978-85-17-00097-3 100 1 $aVICENTE, L. E. 245 $aSCAI-r$ban algorithm for obtaining synoptic and spatial atmospheric parameters.$h[electronic resource] 260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 19., 2019, Santos. Anais... São José dos Campos: INPE, 2019. Ref. 96399.$c2019 300 $ap. 1-4. 520 $aAbstract: The highest performance of multiband optical data (Visible - VIS ? Shortwave Infrared - SWIR ? (400-2500 nm) (e.g. imaging spectroscopy approaches) can be reached mainly through atmospheric correction effects; the conversion of the image values to surface reflectance, allowing, for instance, to estimate the amount of biochemical compounds in the target. This work aims to present an algorithm dedicated to atmospheric parameters obtaining from MODIS and related sensors, encapsulated in a user-friendly interface through Software to Collect Atmospheric Information (SCAI-r), applied to the correction of atmosphere effects on Rapideye image. The results show that SCAI-r generates information needed to perform atmospheric correction and that it has a greater influence over water-related objects, when compared to parameters randomly inserted as input data in atmospheric correction algorithms. 650 $aRadiative transfer 650 $aRemote sensing 650 $aSatélite 650 $aSensoriamento Remoto 653 $aAerosol Optical Thickness 653 $aAtmospheric Correction 653 $aRadiative Transfer Model 653 $aRapidEye 653 $aVisibility 700 1 $aLOEBMANN, D. G. dos S. W. 700 1 $aPAZIANOTTO, R. A. A. 700 1 $aFAGGIONI, M. 700 1 $aGOMES, A. C. C.
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Registro original: |
Embrapa Meio Ambiente (CNPMA) |
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