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Registro Completo |
Biblioteca(s): |
Embrapa Café. |
Data corrente: |
03/05/2019 |
Data da última atualização: |
03/05/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
FRANÇA, M. M.; FERNANDES FILHO, E. I.; FERREIRA, W. P. M.; LAN, J. L.; SOARES, V. P. |
Afiliação: |
Michelle M. França, Universidade Tecnológica Federal do Paraná - UTFPR; Elpidio I. Fernandes Filho, Universidade Federal de Viçosa - UFV; WILLIAMS PINTO MARQUES FERREIRA, CNPCa; João L. Lani, Universidade Federal de Viçosa - UFV; Vicente P. Soares, Universidade Federal de Viçosa - UFV. |
Título: |
Topographic shadow influence on optical image acquired by satellite in the southern hemisphere. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
Engenharia Agrícola, v. 38, n. 5, p. 728-740, 2018 |
Idioma: |
Inglês |
Conteúdo: |
During image acquisition, is usually chosen scenes with a lesser cloud cover to avoid loss of spectral information. However, when training samples are collected for image classification, the user finds shadowed areas. Such situation is similar to the presence of
clouds since spectral information of these classes is the same in all optical bands of the sensor. This fact becomes more pronounced in mountainous relief areas due to shadow projection on the terrain, which can vary among all seasons during the solar year. With the goal to obtain images with a lower presence of shadow, it was simulated, under the same relief conditions, shading variation in function of latitude (0º to 40º S). Solar radiation models were processed for the days and times passages of the Landsat TM and ETM+ satellite on the Southern Hemisphere. It was verified that over 30º S and 40º S latitudes, a loss of shading area varying between 27% to 91 % and that images should be preferentially taken between October and February. For latitudes comprising 0º and 10º S, the loss was considered negligible, when we set a 10% threshold of loss in the total valid area in an image. According to the amount of radiation in a terrain, South and West areas received less direct solar radiation over the year for all analyzed latitudes in the modeling. |
Thesaurus Nal: |
Landsat; Remote sensing; Solar radiation. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/196938/1/Topography-shadiw-influence-on-optical.pdf
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Marc: |
LEADER 01942naa a2200205 a 4500 001 2108684 005 2019-05-03 008 2018 bl uuuu u00u1 u #d 100 1 $aFRANÇA, M. M. 245 $aTopographic shadow influence on optical image acquired by satellite in the southern hemisphere.$h[electronic resource] 260 $c2018 520 $aDuring image acquisition, is usually chosen scenes with a lesser cloud cover to avoid loss of spectral information. However, when training samples are collected for image classification, the user finds shadowed areas. Such situation is similar to the presence of clouds since spectral information of these classes is the same in all optical bands of the sensor. This fact becomes more pronounced in mountainous relief areas due to shadow projection on the terrain, which can vary among all seasons during the solar year. With the goal to obtain images with a lower presence of shadow, it was simulated, under the same relief conditions, shading variation in function of latitude (0º to 40º S). Solar radiation models were processed for the days and times passages of the Landsat TM and ETM+ satellite on the Southern Hemisphere. It was verified that over 30º S and 40º S latitudes, a loss of shading area varying between 27% to 91 % and that images should be preferentially taken between October and February. For latitudes comprising 0º and 10º S, the loss was considered negligible, when we set a 10% threshold of loss in the total valid area in an image. According to the amount of radiation in a terrain, South and West areas received less direct solar radiation over the year for all analyzed latitudes in the modeling. 650 $aLandsat 650 $aRemote sensing 650 $aSolar radiation 700 1 $aFERNANDES FILHO, E. I. 700 1 $aFERREIRA, W. P. M. 700 1 $aLAN, J. L. 700 1 $aSOARES, V. P. 773 $tEngenharia Agrícola$gv. 38, n. 5, p. 728-740, 2018
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