Classification of pasture degradation levels in terms of hydric erosion risk in Quartzipsamments areas at Alto Taquari watershed (MS/MT, Brazil).

Detalhes bibliográficos
Autor(a) principal: GALDINO, S.
Data de Publicação: 2013
Outros Autores: MARINHO, M. de A., SILVA, J. dos S. V. da
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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spelling 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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