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Registro Completo |
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
11/11/2013 |
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Data da última atualização: |
01/06/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
TEIXEIRA, A. H. de C.; SCHERER-WARREN, M.; LOPES, H. L.; HERNANDEZ, F. B. T.; ANDRADE, R. G.; NEALE, C. M. U. |
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Afiliação: |
ANTONIO HERIBERTO DE C TEIXEIRA, CNPM; MORRIS SCHERER-WARREN, ANA; HÉLIO L. LOPES, UNIVERSIDADE DO VALE DO SÃO FRANCISCO; FERNANDO B. T. HERNANDEZ, UNESP; RICARDO GUIMARAES ANDRADE, CNPM; CHRISTOPHER M. U. NEALE, UTAH STATE UNIVERSITY. |
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Título: |
Application of MODIS images for modelling the energy balance components in the semi-arid conditions of Brazil. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
Remote Sensing for Agriculture, Ecosystems and Hydrology, v. 8887, p. 888719-1-888719-11, 2013. |
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ISBN: |
1996-756X |
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Idioma: |
Inglês |
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Conteúdo: |
In the semi-arid areas of Petrolina municipality, Northeast Brazil, irrigated agriculture has replaced the natural vegetation, thus the quantification of the energy exchanges between the plants and the low atmosphere is important. MODIS satellite images and agro-meteorological data for the years of 2010 and 2011 were used together, for modelling the energy balance components under these conditions. Surface albedo (0), NDVI and surface temperature (T0) were ther emote sensing parameters required to calculate the latent heat flux (E) and the surface resistance to evapotranspiration (rs) on a large scale. The daily net radiation (Rn) was retrieved from 0, air temperature (Ta) and transmissivity (sw), allowing the quantification of the sensible heat flux (H) by residual in the energy balance. With threshold values for rs, it was possible to do a simplified vegetation classification. The incident solar radiation (RS) partitioned as Rn ranged from 0.40 to 0.51, corresponding respectively to periods after the rainy season and the driest conditions of the year, with the observed differences between irrigated crops and natural ecosystem not significant. Considering all periods along the year, the averaged fractions of Rn partitioned as H, were 31 and 78%, for irrigated crops and natural vegetation, respectively, while as E the corresponding ratios were 69 and 22%. Heat advection from the dry areas surrounding irrigated plots was observed with E exceeding Rn by 9% during the coldest periods. The models tested herein can be used for monitoring the energy exchanges in agro-ecosystems under conditions of land use and climate change. MenosIn the semi-arid areas of Petrolina municipality, Northeast Brazil, irrigated agriculture has replaced the natural vegetation, thus the quantification of the energy exchanges between the plants and the low atmosphere is important. MODIS satellite images and agro-meteorological data for the years of 2010 and 2011 were used together, for modelling the energy balance components under these conditions. Surface albedo (0), NDVI and surface temperature (T0) were ther emote sensing parameters required to calculate the latent heat flux (E) and the surface resistance to evapotranspiration (rs) on a large scale. The daily net radiation (Rn) was retrieved from 0, air temperature (Ta) and transmissivity (sw), allowing the quantification of the sensible heat flux (H) by residual in the energy balance. With threshold values for rs, it was possible to do a simplified vegetation classification. The incident solar radiation (RS) partitioned as Rn ranged from 0.40 to 0.51, corresponding respectively to periods after the rainy season and the driest conditions of the year, with the observed differences between irrigated crops and natural ecosystem not significant. Considering all periods along the year, the averaged fractions of Rn partitioned as H, were 31 and 78%, for irrigated crops and natural vegetation, respectively, while as E the corresponding ratios were 69 and 22%. Heat advection from the dry areas surrounding irrigated plots was observed with E exceeding Rn by 9% during the coldest p... Mostrar Tudo |
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Palavras-Chave: |
Latent heat flux; NDVI; Sensible heat flux; Surface albedo. |
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Thesaurus Nal: |
Surface temperature. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02429naa a2200253 a 4500
001 1970929
005 2017-06-01
008 2013 bl uuuu u00u1 u #d
022 $a1996-756X
100 1 $aTEIXEIRA, A. H. de C.
245 $aApplication of MODIS images for modelling the energy balance components in the semi-arid conditions of Brazil.
260 $c2013
520 $aIn the semi-arid areas of Petrolina municipality, Northeast Brazil, irrigated agriculture has replaced the natural vegetation, thus the quantification of the energy exchanges between the plants and the low atmosphere is important. MODIS satellite images and agro-meteorological data for the years of 2010 and 2011 were used together, for modelling the energy balance components under these conditions. Surface albedo (0), NDVI and surface temperature (T0) were ther emote sensing parameters required to calculate the latent heat flux (E) and the surface resistance to evapotranspiration (rs) on a large scale. The daily net radiation (Rn) was retrieved from 0, air temperature (Ta) and transmissivity (sw), allowing the quantification of the sensible heat flux (H) by residual in the energy balance. With threshold values for rs, it was possible to do a simplified vegetation classification. The incident solar radiation (RS) partitioned as Rn ranged from 0.40 to 0.51, corresponding respectively to periods after the rainy season and the driest conditions of the year, with the observed differences between irrigated crops and natural ecosystem not significant. Considering all periods along the year, the averaged fractions of Rn partitioned as H, were 31 and 78%, for irrigated crops and natural vegetation, respectively, while as E the corresponding ratios were 69 and 22%. Heat advection from the dry areas surrounding irrigated plots was observed with E exceeding Rn by 9% during the coldest periods. The models tested herein can be used for monitoring the energy exchanges in agro-ecosystems under conditions of land use and climate change.
650 $aSurface temperature
653 $aLatent heat flux
653 $aNDVI
653 $aSensible heat flux
653 $aSurface albedo
700 1 $aSCHERER-WARREN, M.
700 1 $aLOPES, H. L.
700 1 $aHERNANDEZ, F. B. T.
700 1 $aANDRADE, R. G.
700 1 $aNEALE, C. M. U.
773 $tRemote Sensing for Agriculture, Ecosystems and Hydrology$gv. 8887, p. 888719-1-888719-11, 2013.
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