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Registro Completo |
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
22/04/2008 |
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Data da última atualização: |
22/08/2014 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
LU, D.; BATISTELLA, M.; MAUSEL, P.; MORAN, E. |
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Afiliação: |
D. Lu (Indiana University), Mateus Batistella -(Embrapa Monitoramento por Satélite), P. Mausel ( Indiana State University), E. Moran ( Indiana University). |
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Título: |
Mappig and monitoring land degradation risks in the western Brazilian Amazon using multitemporal landsat TM/ETM + IMAGES. |
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Ano de publicação: |
2007 |
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Fonte/Imprenta: |
Land Degradation & Development, v. 18, p. 41-54, 2007. |
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DOI: |
IO.1002lldr.762 |
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Idioma: |
Inglês |
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Conteúdo: |
Mapping and monitoring land degradation in areas under human-induced stresses have urgent tasks in remote sensing whose importance has not yet been fully appreciated. In this study, a surface cover index (SCI) is developed to evaluate and map potential land degradation risks associated with deforestation and accompanying soil erosion in a Western Brazilian Amazon rural settlement study area. The relationships between land-use and land-cover (LULC) types and land degradation risks as well as the impacts of LULC change on land degradation are examined. This research indicates that remotely sensed data can be effectively used for identification and mapping of land degradation risks and monitoring of land degradation changes in the study area. Sites covered by mature forest and advanced successional forests have low land degradation risk potential, while some types of initial successional forests, agroforestry/perennial agriculture and pasture have higher risk potential. Deforestation and associated soil erosion are major causes leading to land degradation, while vegetation regrowth reduces such problems. |
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Palavras-Chave: |
Amazon; land degradation risk; Landsat TM/ETM+; spectral mixture analysis; surface cover index. |
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Thesaurus Nal: |
Brazil. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/107125/1/2098.pdf
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Marc: |
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024 7 $aIO.1002lldr.762$2DOI
100 1 $aLU, D.
245 $aMappig and monitoring land degradation risks in the western Brazilian Amazon using multitemporal landsat TM/ETM + IMAGES.
260 $c2007
520 $aMapping and monitoring land degradation in areas under human-induced stresses have urgent tasks in remote sensing whose importance has not yet been fully appreciated. In this study, a surface cover index (SCI) is developed to evaluate and map potential land degradation risks associated with deforestation and accompanying soil erosion in a Western Brazilian Amazon rural settlement study area. The relationships between land-use and land-cover (LULC) types and land degradation risks as well as the impacts of LULC change on land degradation are examined. This research indicates that remotely sensed data can be effectively used for identification and mapping of land degradation risks and monitoring of land degradation changes in the study area. Sites covered by mature forest and advanced successional forests have low land degradation risk potential, while some types of initial successional forests, agroforestry/perennial agriculture and pasture have higher risk potential. Deforestation and associated soil erosion are major causes leading to land degradation, while vegetation regrowth reduces such problems.
650 $aBrazil
653 $aAmazon
653 $aland degradation risk
653 $aLandsat TM/ETM+
653 $aspectral mixture analysis
653 $asurface cover index
700 1 $aBATISTELLA, M.
700 1 $aMAUSEL, P.
700 1 $aMORAN, E.
773 $tLand Degradation & Development$gv. 18, p. 41-54, 2007.
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