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Registro Completo |
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Biblioteca(s): |
Embrapa Cerrados. |
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Data corrente: |
18/03/2023 |
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Data da última atualização: |
18/03/2023 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
SILVA, G. B. S. da; FORMAGGIO, A. R.; SHIMABUKURO, Y. E.; SANO, E. E. |
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Afiliação: |
GUSTAVO BAYMA SIQUEIRA DA SILVA, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; ANTONIO ROBERTO FORMAGGIO, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; YOSIO EDEMIR SHIMABUKURO, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; EDSON EYJI SANO, CPAC. |
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Título: |
Monitoramento e detecção de desmatamentos no bioma Cerrado matogrossense utilizando imagens de multisensores. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 15., 2011, Curitiba. Anais... São José dos Campos: INPE, 2011. |
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Páginas: |
p. 2849-2855 |
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Idioma: |
Português |
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Conteúdo: |
ABSTRACT - In the last decades, Brazil has become a global agricultural power and the Cerrado biome (Brazilian savanna) has been playing an important role in the Brazilian agriculture growth. To better analyze the biome human disturbance dynamics, it is necessary to develop and adopt effective methods of assessment and monitoring of land use and land cover changes. The goal is to provide adequate land cover classifications and implement an operational monitoring system in the Cerrado biome, since there is only a few attempts to control the degradation of this biome. This monitoring system can be accomplished using MODIS images, as this sensor has great potential for studies about the seasonal dynamics of Cerrado vegetation phytophysiognomies. Due to this new dynamics, the main objective of this work was to apply the PRODES and DETER like methodologies to detect and map deforestation in the Cerrado biome of Mato Grosso State, Brazil, using Landsat and MODIS data. The proposed methodology was able to detect correctly 65% of all MODIS detected polygons; this represented 74% of estimated area of deforestation. Also, it showed suitability to identify new deforested areas in both shrubland and forestland areas with a tendency to misclassify smaller polygons (< 50 ha) of deforestation |
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Thesagro: |
Cerrado; Cobertura Vegetal; Desmatamento; Uso da Terra. |
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Thesaurus Nal: |
Deforestation; Land use; Savannas; Vegetation cover. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1152490/1/Monitoramento-deteccao-desmatamentos-2011.pdf
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Marc: |
LEADER 02109nam a2200253 a 4500
001 2152490
005 2023-03-18
008 2011 bl uuuu u00u1 u #d
100 1 $aSILVA, G. B. S. da
245 $aMonitoramento e detecção de desmatamentos no bioma Cerrado matogrossense utilizando imagens de multisensores.$h[electronic resource]
260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 15., 2011, Curitiba. Anais... São José dos Campos: INPE$c2011
300 $ap. 2849-2855
520 $aABSTRACT - In the last decades, Brazil has become a global agricultural power and the Cerrado biome (Brazilian savanna) has been playing an important role in the Brazilian agriculture growth. To better analyze the biome human disturbance dynamics, it is necessary to develop and adopt effective methods of assessment and monitoring of land use and land cover changes. The goal is to provide adequate land cover classifications and implement an operational monitoring system in the Cerrado biome, since there is only a few attempts to control the degradation of this biome. This monitoring system can be accomplished using MODIS images, as this sensor has great potential for studies about the seasonal dynamics of Cerrado vegetation phytophysiognomies. Due to this new dynamics, the main objective of this work was to apply the PRODES and DETER like methodologies to detect and map deforestation in the Cerrado biome of Mato Grosso State, Brazil, using Landsat and MODIS data. The proposed methodology was able to detect correctly 65% of all MODIS detected polygons; this represented 74% of estimated area of deforestation. Also, it showed suitability to identify new deforested areas in both shrubland and forestland areas with a tendency to misclassify smaller polygons (< 50 ha) of deforestation
650 $aDeforestation
650 $aLand use
650 $aSavannas
650 $aVegetation cover
650 $aCerrado
650 $aCobertura Vegetal
650 $aDesmatamento
650 $aUso da Terra
700 1 $aFORMAGGIO, A. R.
700 1 $aSHIMABUKURO, Y. E.
700 1 $aSANO, E. E.
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