Evaluating erosion from space: um case study near Uberlândia

Detalhes bibliográficos
Autor(a) principal: Vrieling, Anton
Data de Publicação: 2005
Outros Autores: Rodrigues, Silvio Carlos, Sterk, Geert
Tipo de documento: Artigo
Idioma: por
Título da fonte: Sociedade & natureza (Online)
Texto Completo: https://seer.ufu.br/index.php/sociedadenatureza/article/view/9777
Resumo: Satellites can offer important spatial data for the assessment of soil erosion. This study was conducted to explore how satellite imagery could be used for evaluating erosion in a 10*10 km area in the Brazilian Cerrados. Products obtained from a variety of satellite sensors were analyzed for the purpose of (1) detecting erosion features; and (2) qualitatively mapping erosion risk. Erosion detection was done through visual image interpretation. Optical Terra ASTER images allowed for a better detection and delineation of major gullies as ENVISAT ASAR imagery. Gully dynamics could be assessed by jointly interpreting aerial photos of 1979 and a high-resolution QuickBird image of 2003. QuickBird also allowed for the detection of smaller erosion features, like rills. Erosion risk mapping was performed for the complete study area with a simple qualitative method integrating information on slope and vegetation cover. Slope was calculated from the SRTM DEM, and NDVI, being indicative of vegetation cover, was obtained from a wet-season ASTER image. Both factors were automatically classified based on their relative susceptibility to erosion. The erosion risk map was constructed by combining both classifications with the minimum-operator. The accuracy of the map was good (75 %) when compared to field estimates of erosion risk. The method presented therefore allowed for a quick and proper indication of spatial differences of erosion risk in the study area, particularly concerning rill and sheet erosion.
id UFU-6_6a7d39a809aba55bc127e31c2566d408
oai_identifier_str oai:ojs.www.seer.ufu.br:article/9777
network_acronym_str UFU-6
network_name_str Sociedade & natureza (Online)
repository_id_str
spelling Evaluating erosion from space: um case study near UberlândiaSatellites can offer important spatial data for the assessment of soil erosion. This study was conducted to explore how satellite imagery could be used for evaluating erosion in a 10*10 km area in the Brazilian Cerrados. Products obtained from a variety of satellite sensors were analyzed for the purpose of (1) detecting erosion features; and (2) qualitatively mapping erosion risk. Erosion detection was done through visual image interpretation. Optical Terra ASTER images allowed for a better detection and delineation of major gullies as ENVISAT ASAR imagery. Gully dynamics could be assessed by jointly interpreting aerial photos of 1979 and a high-resolution QuickBird image of 2003. QuickBird also allowed for the detection of smaller erosion features, like rills. Erosion risk mapping was performed for the complete study area with a simple qualitative method integrating information on slope and vegetation cover. Slope was calculated from the SRTM DEM, and NDVI, being indicative of vegetation cover, was obtained from a wet-season ASTER image. Both factors were automatically classified based on their relative susceptibility to erosion. The erosion risk map was constructed by combining both classifications with the minimum-operator. The accuracy of the map was good (75 %) when compared to field estimates of erosion risk. The method presented therefore allowed for a quick and proper indication of spatial differences of erosion risk in the study area, particularly concerning rill and sheet erosion.Universidade Federal de Uberlândia2005-05-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/sociedadenatureza/article/view/977710.14393/SN-v1-2005-9777Sociedade & Natureza; Vol. 1 No. 1 (2005): International Symposium on Land Degradation and DesertificationSociedade & Natureza; v. 1 n. 1 (2005): International Symposium on Land Degradation and Desertification1982-45130103-1570reponame:Sociedade & natureza (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUporhttps://seer.ufu.br/index.php/sociedadenatureza/article/view/9777/5868Copyright (c) 2009 Anton Vrieling, Silvio Carlos Rodrigues, Geert Sterkhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessVrieling, AntonRodrigues, Silvio CarlosSterk, Geert2022-12-07T14:51:33Zoai:ojs.www.seer.ufu.br:article/9777Revistahttp://www.sociedadenatureza.ig.ufu.br/PUBhttps://seer.ufu.br/index.php/sociedadenatureza/oai||sociedade.natureza.ufu@gmail.com|| lucianamelo@ufu.br1982-45130103-1570opendoar:2022-12-07T14:51:33Sociedade & natureza (Online) - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv Evaluating erosion from space: um case study near Uberlândia
title Evaluating erosion from space: um case study near Uberlândia
spellingShingle Evaluating erosion from space: um case study near Uberlândia
Vrieling, Anton
title_short Evaluating erosion from space: um case study near Uberlândia
title_full Evaluating erosion from space: um case study near Uberlândia
title_fullStr Evaluating erosion from space: um case study near Uberlândia
title_full_unstemmed Evaluating erosion from space: um case study near Uberlândia
title_sort Evaluating erosion from space: um case study near Uberlândia
author Vrieling, Anton
author_facet Vrieling, Anton
Rodrigues, Silvio Carlos
Sterk, Geert
author_role author
author2 Rodrigues, Silvio Carlos
Sterk, Geert
author2_role author
author
dc.contributor.author.fl_str_mv Vrieling, Anton
Rodrigues, Silvio Carlos
Sterk, Geert
description Satellites can offer important spatial data for the assessment of soil erosion. This study was conducted to explore how satellite imagery could be used for evaluating erosion in a 10*10 km area in the Brazilian Cerrados. Products obtained from a variety of satellite sensors were analyzed for the purpose of (1) detecting erosion features; and (2) qualitatively mapping erosion risk. Erosion detection was done through visual image interpretation. Optical Terra ASTER images allowed for a better detection and delineation of major gullies as ENVISAT ASAR imagery. Gully dynamics could be assessed by jointly interpreting aerial photos of 1979 and a high-resolution QuickBird image of 2003. QuickBird also allowed for the detection of smaller erosion features, like rills. Erosion risk mapping was performed for the complete study area with a simple qualitative method integrating information on slope and vegetation cover. Slope was calculated from the SRTM DEM, and NDVI, being indicative of vegetation cover, was obtained from a wet-season ASTER image. Both factors were automatically classified based on their relative susceptibility to erosion. The erosion risk map was constructed by combining both classifications with the minimum-operator. The accuracy of the map was good (75 %) when compared to field estimates of erosion risk. The method presented therefore allowed for a quick and proper indication of spatial differences of erosion risk in the study area, particularly concerning rill and sheet erosion.
publishDate 2005
dc.date.none.fl_str_mv 2005-05-30
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.ufu.br/index.php/sociedadenatureza/article/view/9777
10.14393/SN-v1-2005-9777
url https://seer.ufu.br/index.php/sociedadenatureza/article/view/9777
identifier_str_mv 10.14393/SN-v1-2005-9777
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/sociedadenatureza/article/view/9777/5868
dc.rights.driver.fl_str_mv Copyright (c) 2009 Anton Vrieling, Silvio Carlos Rodrigues, Geert Sterk
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2009 Anton Vrieling, Silvio Carlos Rodrigues, Geert Sterk
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Uberlândia
publisher.none.fl_str_mv Universidade Federal de Uberlândia
dc.source.none.fl_str_mv Sociedade & Natureza; Vol. 1 No. 1 (2005): International Symposium on Land Degradation and Desertification
Sociedade & Natureza; v. 1 n. 1 (2005): International Symposium on Land Degradation and Desertification
1982-4513
0103-1570
reponame:Sociedade & natureza (Online)
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Sociedade & natureza (Online)
collection Sociedade & natureza (Online)
repository.name.fl_str_mv Sociedade & natureza (Online) - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv ||sociedade.natureza.ufu@gmail.com|| lucianamelo@ufu.br
_version_ 1799943978429186048