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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
16/02/2017 |
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Data da última atualização: |
30/01/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
ANDRADE, R. G.; TEIXEIRA, A. H. de C.; LEIVAS, J. F.; NOGUEIRA, S. F. |
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Afiliação: |
RICARDO GUIMARAES ANDRADE, CNPGL; ANTONIO HERIBERTO DE C TEIXEIRA, CNPM; JANICE FREITAS LEIVAS, CNPM; SANDRA FURLAN NOGUEIRA, CNPM. |
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Título: |
Analysis of evapotranspiration and biomass in pastures with degradation indicatives in the Upper Tocantins River Basin, in Brazilian Savanna. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Revista Ceres, v. 63, n. 6, p. 754-760, 2016. |
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Idioma: |
Inglês |
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Conteúdo: |
The objective of this study was to apply the Simple Algorithm For Evapotranspiration Retrieving (SAFER) with MODIS images together with meteorological data to analyze evapotranspiration (ET) and biomass production (BIO) according to indicative classes of pasture degradation in Upper Tocantins River Basin. Indicative classes of degraded pastures were obtained from the NDVI time-series (2002-2012). To estimate ET and BIO in each class, MODIS images and data from meteorological stations of the year 2012 were used. The results show that compared to not-degraded pastures, ET and BIO were different in pastures with moderate to strong degradation, mainly during water stress period. Therefore, changes in energy balance partition may occur according to the degradation levels, considering that those indicatives of degradation processes were identified in 24% of the planted pasture areas. In this context, ET and BIO estimates using remote sensing techniques can be a reliable indicator of forage availability, and large-scale aspects related to the degradation of pastures. It is expected that this knowledge may contribute to initiatives of public policies aimed at controlling the loss of production potential of pasture areas in the Upper Tocantins River Basin in the state of Goiás, Brazil. |
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Palavras-Chave: |
Degraded pastures; SAFER. |
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Thesaurus Nal: |
land use; remote sensing. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/155926/1/Cnpgl-2016-RevCeres-Analysis.pdf
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Marc: |
LEADER 01944naa a2200205 a 4500
001 2064536
005 2023-01-30
008 2016 bl uuuu u00u1 u #d
100 1 $aANDRADE, R. G.
245 $aAnalysis of evapotranspiration and biomass in pastures with degradation indicatives in the Upper Tocantins River Basin, in Brazilian Savanna.$h[electronic resource]
260 $c2016
520 $aThe objective of this study was to apply the Simple Algorithm For Evapotranspiration Retrieving (SAFER) with MODIS images together with meteorological data to analyze evapotranspiration (ET) and biomass production (BIO) according to indicative classes of pasture degradation in Upper Tocantins River Basin. Indicative classes of degraded pastures were obtained from the NDVI time-series (2002-2012). To estimate ET and BIO in each class, MODIS images and data from meteorological stations of the year 2012 were used. The results show that compared to not-degraded pastures, ET and BIO were different in pastures with moderate to strong degradation, mainly during water stress period. Therefore, changes in energy balance partition may occur according to the degradation levels, considering that those indicatives of degradation processes were identified in 24% of the planted pasture areas. In this context, ET and BIO estimates using remote sensing techniques can be a reliable indicator of forage availability, and large-scale aspects related to the degradation of pastures. It is expected that this knowledge may contribute to initiatives of public policies aimed at controlling the loss of production potential of pasture areas in the Upper Tocantins River Basin in the state of Goiás, Brazil.
650 $aland use
650 $aremote sensing
653 $aDegraded pastures
653 $aSAFER
700 1 $aTEIXEIRA, A. H. de C.
700 1 $aLEIVAS, J. F.
700 1 $aNOGUEIRA, S. F.
773 $tRevista Ceres$gv. 63, n. 6, p. 754-760, 2016.
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Embrapa Gado de Leite (CNPGL) |
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