Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/17677
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dc.contributor.authorLU, D.pt_BR
dc.contributor.authorBATISTELLA, M.pt_BR
dc.contributor.authorMAUSEL, P.pt_BR
dc.contributor.authorMORAN, E.pt_BR
dc.date.accessioned2014-08-23T06:53:43Z-
dc.date.available2014-08-23T06:53:43Z-
dc.date.created2008-04-22pt_BR
dc.date.issued2007pt_BR
dc.identifier.citationLand Degradation & Development, v. 18, p. 41-54, 2007.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/17677pt_BR
dc.descriptionMapping 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.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectland degradation riskpt_BR
dc.subjectsurface cover indexpt_BR
dc.subjectspectral mixture analysispt_BR
dc.subjectLandsat TM/ETM+pt_BR
dc.subjectAmazonpt_BR
dc.titleMappig and monitoring land degradation risks in the western Brazilian Amazon using multitemporal landsat TM/ETM + IMAGES.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2014-08-23T06:53:43Zpt_BR
dc.subject.nalthesaurusBrazilpt_BR
riaa.ainfo.id17677pt_BR
riaa.ainfo.lastupdate2014-08-22pt_BR
dc.identifier.doiIO.1002lldr.762pt_BR
dc.contributor.institutionD. Lu (Indiana University), Mateus Batistella -(Embrapa Monitoramento por Satélite), P. Mausel ( Indiana State University), E. Moran ( Indiana University).pt_BR
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