Topographyc shadow influence on optical image acquired by satellite in the southern hemisphere.

Detalhes bibliográficos
Autor(a) principal: FRANÇA, M. M.
Data de Publicação: 2018
Outros Autores: FERNANDES FILHO, E. I., FERREIRA, W. P. M., LANI, J. L., SOARES, V. P.
Tipo de documento: Artigo
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/1160424
https://doi.org/10.1590/1809-4430-Eng.Agric.v38n5p728-740/2018
Resumo: 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 (0 degrees to 40 degrees 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 30 degrees S and 40 degrees 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 0 degrees and 10 degrees 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.
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spelling Topographyc shadow influence on optical image acquired by satellite in the southern hemisphere.LandsatRemote sensingSolar radiationDuring 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 (0 degrees to 40 degrees 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 30 degrees S and 40 degrees 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 0 degrees and 10 degrees 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.MICHELLE M. FRANÇA, UNIVERSIDADE TECNOLÓGICA FEDERAL DO PARANÁ; ELPIDIO I. FERNANDES FILHO, UNIVERSIDADE FEDERAL DE VIÇOSA; WILLIAMS PINTO MARQUES FERREIRA, CNPCa; JOÃO L. LANI, UNIVERSIDADE FEDERAL DE VIÇOSA; VICENTE P. SOARES, UNIVERSIDADE FEDERAL DE VIÇOSA.FRANÇA, M. M.FERNANDES FILHO, E. I.FERREIRA, W. P. M.LANI, J. L.SOARES, V. P.2024-01-03T18:32:21Z2024-01-03T18:32:21Z2024-01-032018info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleEngenharia Agrícola, v. 38, n. 5, p.728-740, 2018.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1160424https://doi.org/10.1590/1809-4430-Eng.Agric.v38n5p728-740/2018enginfo: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:EMBRAPA2024-01-03T18:32:21Zoai:www.alice.cnptia.embrapa.br:doc/1160424Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542024-01-03T18:32:21falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542024-01-03T18:32:21Repositório 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 Topographyc shadow influence on optical image acquired by satellite in the southern hemisphere.
title Topographyc shadow influence on optical image acquired by satellite in the southern hemisphere.
spellingShingle Topographyc shadow influence on optical image acquired by satellite in the southern hemisphere.
FRANÇA, M. M.
Landsat
Remote sensing
Solar radiation
title_short Topographyc shadow influence on optical image acquired by satellite in the southern hemisphere.
title_full Topographyc shadow influence on optical image acquired by satellite in the southern hemisphere.
title_fullStr Topographyc shadow influence on optical image acquired by satellite in the southern hemisphere.
title_full_unstemmed Topographyc shadow influence on optical image acquired by satellite in the southern hemisphere.
title_sort Topographyc shadow influence on optical image acquired by satellite in the southern hemisphere.
author FRANÇA, M. M.
author_facet FRANÇA, M. M.
FERNANDES FILHO, E. I.
FERREIRA, W. P. M.
LANI, J. L.
SOARES, V. P.
author_role author
author2 FERNANDES FILHO, E. I.
FERREIRA, W. P. M.
LANI, J. L.
SOARES, V. P.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv MICHELLE M. FRANÇA, UNIVERSIDADE TECNOLÓGICA FEDERAL DO PARANÁ; ELPIDIO I. FERNANDES FILHO, UNIVERSIDADE FEDERAL DE VIÇOSA; WILLIAMS PINTO MARQUES FERREIRA, CNPCa; JOÃO L. LANI, UNIVERSIDADE FEDERAL DE VIÇOSA; VICENTE P. SOARES, UNIVERSIDADE FEDERAL DE VIÇOSA.
dc.contributor.author.fl_str_mv FRANÇA, M. M.
FERNANDES FILHO, E. I.
FERREIRA, W. P. M.
LANI, J. L.
SOARES, V. P.
dc.subject.por.fl_str_mv Landsat
Remote sensing
Solar radiation
topic Landsat
Remote sensing
Solar radiation
description 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 (0 degrees to 40 degrees 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 30 degrees S and 40 degrees 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 0 degrees and 10 degrees 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.
publishDate 2018
dc.date.none.fl_str_mv 2018
2024-01-03T18:32:21Z
2024-01-03T18:32:21Z
2024-01-03
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Engenharia Agrícola, v. 38, n. 5, p.728-740, 2018.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1160424
https://doi.org/10.1590/1809-4430-Eng.Agric.v38n5p728-740/2018
identifier_str_mv Engenharia Agrícola, v. 38, n. 5, p.728-740, 2018.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1160424
https://doi.org/10.1590/1809-4430-Eng.Agric.v38n5p728-740/2018
dc.language.iso.fl_str_mv eng
language eng
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dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
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