Please use this identifier to cite or link to this item: https://repositorio.inpa.gov.br/handle/1/19981
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dc.contributor.authorSilva, P. G.-
dc.contributor.authorSantos, João Roberto dos-
dc.contributor.authorShimabukuro, Yosio Edemir-
dc.contributor.authorSouza, P. E U-
dc.contributor.authorGraça, Paulo Maurício Lima Alencastro de-
dc.date.accessioned2020-06-16T17:29:10Z-
dc.date.available2020-06-16T17:29:10Z-
dc.date.issued2003-
dc.identifier.urihttps://repositorio.inpa.gov.br/handle/1/19981-
dc.description.abstractThe lack of sustainability in the exploitation of the tropical Amazon forest has caused severely impacted environment and biodiversity. In this context, the objective of this study is to detect, characterize and quantify the forest areas affected by timber exploitation in the years 2001 and 2002. This research was developed in the north of the Mato Grosso state, Brazil, utilizing fraction images that were generated by a linear spectral mixture model referring to the mentioned years. Change vector analysis (CVA) was applied to the difference image of the fraction images from the two years. One image representing magnitude of change, and two images representing the angles of the change vectors were generated. These images are efficient for detection of intensity and type of change that occurred in the forested areas, which are subject to selective logging.en
dc.language.isoen-
dc.publisherInternational Geoscience and Remote Sensing Symposium (IGARSS)-
dc.relation.ispartofVolume 4, Pags. 2580-2582pt_BR
dc.rightsRestrito-
dc.subjectEcosystemsen
dc.subjectForestryen
dc.subjectImage Analysisen
dc.subjectVectorsen
dc.subjectChange Vector Analysis (cva)en
dc.subjectRemote Sensingen
dc.titleChange Vector Analysis technique to monitor selective logging activities in Amazonen
dc.typeTrabalho Apresentado em Eventopt_BR
Appears in Collections:Trabalhos Apresentados em Evento

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