Classification of pasture degradation levels in terms of hydric erosion risk in Quartzipsamments areas at Alto Taquari watershed (MS/MT, Brazil).
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , |
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/967218 |
Resumo: | Pasture degradation is currently one of Brazil's agriculture main problems. Pasture areas grown on Quartzipsamments (RQ) at the Alto Taquari watershed (BAT) are important sources of sediments which intensify the Taquari river´s situation in Pantanal. The objective of this work was to assess the use of the Linear Spectral Mixture Model (LSMM) in the mapping and characterization of the current degradation level of pastures planted on RQ at BAT in terms of erosion risk. Using Landsat 5 satellite images of 2010 and employing the LSMM, we generated an image for exposed soil (ES), which was used along with field work to define three pasture degradation levels: low degradation level or not degraded (ES < 20%), medium degradation level (20% < ED > 45%) and high degradation level (ES > 45%). In 2010, the pastures grown on RQ at BAT encompassed a total of 851,204 ha, which corresponded to 66.3% of this soil class and to 30.1% of the watershed surface. The largest amount of pasture areas, around 57%, showed medium degradation level, about 9% showed high degradation level, and the remainder, around 34%, were pastures with low degradation level or not degraded. |
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Classification of pasture degradation levels in terms of hydric erosion risk in Quartzipsamments areas at Alto Taquari watershed (MS/MT, Brazil).GeotecnologiaModelo Linear de Mistura EspectralBacia hidrográfica do alto ParaguaiRecuperação de pastagens degradadasDegradação de pastagensGeotechnologyLinear Spectral Mixture ModelAlto Paraguai watershedCerradoPasture degradation is currently one of Brazil's agriculture main problems. Pasture areas grown on Quartzipsamments (RQ) at the Alto Taquari watershed (BAT) are important sources of sediments which intensify the Taquari river´s situation in Pantanal. The objective of this work was to assess the use of the Linear Spectral Mixture Model (LSMM) in the mapping and characterization of the current degradation level of pastures planted on RQ at BAT in terms of erosion risk. Using Landsat 5 satellite images of 2010 and employing the LSMM, we generated an image for exposed soil (ES), which was used along with field work to define three pasture degradation levels: low degradation level or not degraded (ES < 20%), medium degradation level (20% < ED > 45%) and high degradation level (ES > 45%). In 2010, the pastures grown on RQ at BAT encompassed a total of 851,204 ha, which corresponded to 66.3% of this soil class and to 30.1% of the watershed surface. The largest amount of pasture areas, around 57%, showed medium degradation level, about 9% showed high degradation level, and the remainder, around 34%, were pastures with low degradation level or not degraded.Número Especial.SÉRGIO GALDINO, CPAP; MARA DE ANDRADE MARINHO, Unicamp; JOÁO DOS SANTOS VILA DA SILVA, CNPTIA.GALDINO, S.MARINHO, M. de A.SILVA, J. dos S. V. da2017-12-19T23:19:40Z2017-12-19T23:19:40Z2013-09-2620132017-12-19T23:19:40Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleGeografia, Rio Claro, v. 38, p. 95-107, ago. 2013.http://www.alice.cnptia.embrapa.br/alice/handle/doc/967218enginfo: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:EMBRAPA2017-12-19T23:19:53Zoai:www.alice.cnptia.embrapa.br:doc/967218Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-12-19T23:19:53falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-12-19T23:19:53Repositório 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 |
Classification of pasture degradation levels in terms of hydric erosion risk in Quartzipsamments areas at Alto Taquari watershed (MS/MT, Brazil). |
title |
Classification of pasture degradation levels in terms of hydric erosion risk in Quartzipsamments areas at Alto Taquari watershed (MS/MT, Brazil). |
spellingShingle |
Classification of pasture degradation levels in terms of hydric erosion risk in Quartzipsamments areas at Alto Taquari watershed (MS/MT, Brazil). GALDINO, S. Geotecnologia Modelo Linear de Mistura Espectral Bacia hidrográfica do alto Paraguai Recuperação de pastagens degradadas Degradação de pastagens Geotechnology Linear Spectral Mixture Model Alto Paraguai watershed Cerrado |
title_short |
Classification of pasture degradation levels in terms of hydric erosion risk in Quartzipsamments areas at Alto Taquari watershed (MS/MT, Brazil). |
title_full |
Classification of pasture degradation levels in terms of hydric erosion risk in Quartzipsamments areas at Alto Taquari watershed (MS/MT, Brazil). |
title_fullStr |
Classification of pasture degradation levels in terms of hydric erosion risk in Quartzipsamments areas at Alto Taquari watershed (MS/MT, Brazil). |
title_full_unstemmed |
Classification of pasture degradation levels in terms of hydric erosion risk in Quartzipsamments areas at Alto Taquari watershed (MS/MT, Brazil). |
title_sort |
Classification of pasture degradation levels in terms of hydric erosion risk in Quartzipsamments areas at Alto Taquari watershed (MS/MT, Brazil). |
author |
GALDINO, S. |
author_facet |
GALDINO, S. MARINHO, M. de A. SILVA, J. dos S. V. da |
author_role |
author |
author2 |
MARINHO, M. de A. SILVA, J. dos S. V. da |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
SÉRGIO GALDINO, CPAP; MARA DE ANDRADE MARINHO, Unicamp; JOÁO DOS SANTOS VILA DA SILVA, CNPTIA. |
dc.contributor.author.fl_str_mv |
GALDINO, S. MARINHO, M. de A. SILVA, J. dos S. V. da |
dc.subject.por.fl_str_mv |
Geotecnologia Modelo Linear de Mistura Espectral Bacia hidrográfica do alto Paraguai Recuperação de pastagens degradadas Degradação de pastagens Geotechnology Linear Spectral Mixture Model Alto Paraguai watershed Cerrado |
topic |
Geotecnologia Modelo Linear de Mistura Espectral Bacia hidrográfica do alto Paraguai Recuperação de pastagens degradadas Degradação de pastagens Geotechnology Linear Spectral Mixture Model Alto Paraguai watershed Cerrado |
description |
Pasture degradation is currently one of Brazil's agriculture main problems. Pasture areas grown on Quartzipsamments (RQ) at the Alto Taquari watershed (BAT) are important sources of sediments which intensify the Taquari river´s situation in Pantanal. The objective of this work was to assess the use of the Linear Spectral Mixture Model (LSMM) in the mapping and characterization of the current degradation level of pastures planted on RQ at BAT in terms of erosion risk. Using Landsat 5 satellite images of 2010 and employing the LSMM, we generated an image for exposed soil (ES), which was used along with field work to define three pasture degradation levels: low degradation level or not degraded (ES < 20%), medium degradation level (20% < ED > 45%) and high degradation level (ES > 45%). In 2010, the pastures grown on RQ at BAT encompassed a total of 851,204 ha, which corresponded to 66.3% of this soil class and to 30.1% of the watershed surface. The largest amount of pasture areas, around 57%, showed medium degradation level, about 9% showed high degradation level, and the remainder, around 34%, were pastures with low degradation level or not degraded. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-09-26 2013 2017-12-19T23:19:40Z 2017-12-19T23:19:40Z 2017-12-19T23:19:40Z |
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 |
Geografia, Rio Claro, v. 38, p. 95-107, ago. 2013. http://www.alice.cnptia.embrapa.br/alice/handle/doc/967218 |
identifier_str_mv |
Geografia, Rio Claro, v. 38, p. 95-107, ago. 2013. |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/967218 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503446617915392 |