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| Registros recuperados : 132 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
04/10/2011 |
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Data da última atualização: |
03/05/2019 |
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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, CNPM; ANTONIO ROBERTO FORMAGGIO, INPE; YOSIO EDEMIR SHIMABUKURO, INPE; EDSON EYJI SANO, CPAC. |
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Título: |
Monitoramento e detecção de desmatamento 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: |
Inglês |
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Conteúdo: |
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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Palavras-Chave: |
Formação florestal e savânica; Modelo linear de mistura espectral; Monitoramento operacional. |
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Thesagro: |
Cobertura Vegetal. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/42817/1/Gustavo3-SBSR.pdf
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Marc: |
LEADER 02023nam a2200205 a 4500
001 1902215
005 2019-05-03
008 2011 bl uuuu u00u1 u #d
100 1 $aSILVA, G. B. S. da
245 $aMonitoramento e detecção de desmatamento no bioma Cerrado matogrossense utilizando imagens de multisensores.
260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 15., 2011, Curitiba. Anais... São José dos Campos: INPE$c2011
300 $ap. 2849-2855.
520 $aIn 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 $aCobertura Vegetal
653 $aFormação florestal e savânica
653 $aModelo linear de mistura espectral
653 $aMonitoramento operacional
700 1 $aFORMAGGIO, A. R.
700 1 $aSHIMABUKURO, Y. E.
700 1 $aSANO, E. E.
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Embrapa Territorial (CNPM) |
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