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Registros recuperados : 42 | |
20. | | LU, D.; BATISTELLA, M.; ALVES, D. HETRICK, S.; MORAN, E. Mapping of Fractional Forest Cover in Rondonia, Brazil with a Combination of Terra MODIS and Landsat TM Images. In: LBA_ECO Science Team Meeting, 11., 2007, Salvador. Resumos... Salvador: LBA, 2007. p. 31-32. Biblioteca(s): Embrapa Territorial. |
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Registros recuperados : 42 | |
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Registro Completo
Biblioteca(s): |
Embrapa Territorial. |
Data corrente: |
22/04/2008 |
Data da última atualização: |
22/08/2014 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
Internacional - A |
Autoria: |
LU, D.; BATISTELLA, M.; MAUSEL, P.; MORAN, E. |
Afiliação: |
D. Lu (Indiana University), Mateus Batistella -(Embrapa Monitoramento por Satélite), P. Mausel ( Indiana State University), E. Moran ( Indiana University). |
Título: |
Mappig and monitoring land degradation risks in the western Brazilian Amazon using multitemporal landsat TM/ETM + IMAGES. |
Ano de publicação: |
2007 |
Fonte/Imprenta: |
Land Degradation & Development, v. 18, p. 41-54, 2007. |
DOI: |
IO.1002lldr.762 |
Idioma: |
Inglês |
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. |
Palavras-Chave: |
Amazon; land degradation risk; Landsat TM/ETM+; spectral mixture analysis; surface cover index. |
Thesaurus NAL: |
Brazil. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/107125/1/2098.pdf
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Marc: |
LEADER 01825naa a2200241 a 4500 001 1017677 005 2014-08-22 008 2007 bl uuuu u00u1 u #d 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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Embrapa Territorial (CNPM) |
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