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Registro Completo |
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
03/08/2017 |
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Data da última atualização: |
03/08/2017 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
SILVA, G. B. S. da; TEIXEIRA, A. H. de C.; LEIVAS, J. F. |
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Afiliação: |
GUSTAVO BAYMA SIQUEIRA DA SILVA, CNPM; ANTONIO HERIBERTO DE C TEIXEIRA, CPATSA; JANICE FREITAS LEIVAS, CNPM. |
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Título: |
Estimativa de parâmetros biofísicos no bioma Cerrado do Estado de Minas Gerais. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... Santos: Inpe, 2017. |
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Páginas: |
p. 3703-3710. |
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Idioma: |
Inglês |
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Conteúdo: |
Natural habitats decrease in extension and integrity may be considered as an indicator of biodiversity decay. Land-use and land-cover changes (LULCC), original ecosystems conversion to other anthropic uses, have direct effects on biodiversity and climate. The Cerrado biome extends over approximately 2,000,000 km2 and between 2002 and 2013 nearly 126,000 km² of its natural plant cover was suppressed (-10.7%), 11.4 thousand km² year-1. The Simple Algorithm for Evapotranspiration Retrieving (SAFER) is an agrometeorological spectral model for estimating large-scale biophysical parameters using satellite images and climate data interpolated from meteorological stations. SAFER does not require the use of the thermal band. The SAFER model was used to estimate biophysical parameters in anthropic and natural land-use classes in a portion of the Brazilian state of Minas Gerais which is covered by Cerrado vegetation. Our results show "silviculture" as the anthropic land-use class with the highest biomass (146 kg ha-1 day-1) and ET (3.3 mm day-1) values. Among the natural plant-cover classes, the highest values were estimated for "forest" (85.8 kg ha-1 day-1 and 2.4 mm day-1). We recommend that future studies apply the SAFER model to medium spatial resolution images (e.g. Landsat-8, Sentinel-2) with the aim of estimating parameters in a more detailed scale. |
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Palavras-Chave: |
MODIS; SAFER. |
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Thesagro: |
Biomassa; Evapotranspiração. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/162397/1/4829.pdf
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Marc: |
LEADER 01980nam a2200193 a 4500
001 2073573
005 2017-08-03
008 2017 bl uuuu u00u1 u #d
100 1 $aSILVA, G. B. S. da
245 $aEstimativa de parâmetros biofísicos no bioma Cerrado do Estado de Minas Gerais.$h[electronic resource]
260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... Santos: Inpe$c2017
300 $ap. 3703-3710.
520 $aNatural habitats decrease in extension and integrity may be considered as an indicator of biodiversity decay. Land-use and land-cover changes (LULCC), original ecosystems conversion to other anthropic uses, have direct effects on biodiversity and climate. The Cerrado biome extends over approximately 2,000,000 km2 and between 2002 and 2013 nearly 126,000 km² of its natural plant cover was suppressed (-10.7%), 11.4 thousand km² year-1. The Simple Algorithm for Evapotranspiration Retrieving (SAFER) is an agrometeorological spectral model for estimating large-scale biophysical parameters using satellite images and climate data interpolated from meteorological stations. SAFER does not require the use of the thermal band. The SAFER model was used to estimate biophysical parameters in anthropic and natural land-use classes in a portion of the Brazilian state of Minas Gerais which is covered by Cerrado vegetation. Our results show "silviculture" as the anthropic land-use class with the highest biomass (146 kg ha-1 day-1) and ET (3.3 mm day-1) values. Among the natural plant-cover classes, the highest values were estimated for "forest" (85.8 kg ha-1 day-1 and 2.4 mm day-1). We recommend that future studies apply the SAFER model to medium spatial resolution images (e.g. Landsat-8, Sentinel-2) with the aim of estimating parameters in a more detailed scale.
650 $aBiomassa
650 $aEvapotranspiração
653 $aMODIS
653 $aSAFER
700 1 $aTEIXEIRA, A. H. de C.
700 1 $aLEIVAS, J. F.
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