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Registro Completo |
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
02/12/2024 |
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Data da última atualização: |
03/12/2024 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
TEIXEIRA, A. H. DE C.; LEIVAS, J. F.; TAKEMURA, C. M.; PACHECO, E. P.; GARCON, E. A. M.; SOUSA, I. F. DE; ALMEIDA, A. Q. DE; THENKABAIL, P. S.; SANTOS, A. F. M. |
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Afiliação: |
ANTONIO HERIBERTO DE CASTRO TEIXEIRA, UNIVERSIDADE FEDERAL DE SERGIPE; JANICE FREITAS LEIVAS, CNPM; CELINA MAKI TAKEMURA, CNPM; EDSON PATTO PACHECO, CPATC; EDLENE APARECIDA MONTEIRO GARCON, CNPM; INAJÁ FRANCISCO DE SOUSA, UNIVERSIDADE FEDERAL DE SERGIPE; ANDRÉ QUINTÃO DE ALMEIDA, UNIVERSIDADE FEDERAL DE SERGIPE; PRASAD S. THENKABAIL, UNITED STATES GEOLOGICAL SURVEY; ANA FLÁVIA MARIA SANTOS, UNIVERSIDADE FEDERAL DE SERGIPE. |
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Título: |
Modeling and monitoring water Productivity by using geotechnologies. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
In: THENKABAIL, P. S. (ed.). Remote sensing handbook. 2. ed. Boca Raton, FL: CRC Press, 2024. v. 5. cap. 11. |
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Páginas: |
p. 381-419. |
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ISBN: |
9781003541400 |
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DOI: |
https://doi.org/10.1201/9781003541400 |
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Idioma: |
Inglês |
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Conteúdo: |
This chapter highlights the combination of the newest version of the SAFER algorithm and the Monteith RUE model, with applications in agroecosystems inside some Brazilian biomes. This is done to demonstrate that remote sensing measurements, together with weather data, can be used for water productivity assessments on different spatial and temporal scales, to support the rational water resources management. A third model for the surface resistance to water fluxes (rs), SUREAL (Surface Resistance Algorithm), is used to classify the vegetation into irrigated crops and natural ecosystems (Teixeira, 2010; Teixeira et al., 2013) to retrieve the incremental values of ET and BIO, resulted from the replacement of natural vegetation by irrigated crops. |
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Palavras-Chave: |
Brazilian agroecosystems; Climate changes; Climatic systems worldwide. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01676naa a2200289 a 4500
001 2169919
005 2024-12-03
008 2024 bl uuuu u00u1 u #d
020 $a9781003541400
024 7 $ahttps://doi.org/10.1201/9781003541400$2DOI
100 1 $aTEIXEIRA, A. H. DE C.
245 $aModeling and monitoring water Productivity by using geotechnologies.$h[electronic resource]
260 $c2024
300 $ap. 381-419.
520 $aThis chapter highlights the combination of the newest version of the SAFER algorithm and the Monteith RUE model, with applications in agroecosystems inside some Brazilian biomes. This is done to demonstrate that remote sensing measurements, together with weather data, can be used for water productivity assessments on different spatial and temporal scales, to support the rational water resources management. A third model for the surface resistance to water fluxes (rs), SUREAL (Surface Resistance Algorithm), is used to classify the vegetation into irrigated crops and natural ecosystems (Teixeira, 2010; Teixeira et al., 2013) to retrieve the incremental values of ET and BIO, resulted from the replacement of natural vegetation by irrigated crops.
653 $aBrazilian agroecosystems
653 $aClimate changes
653 $aClimatic systems worldwide
700 1 $aLEIVAS, J. F.
700 1 $aTAKEMURA, C. M.
700 1 $aPACHECO, E. P.
700 1 $aGARCON, E. A. M.
700 1 $aSOUSA, I. F. DE
700 1 $aALMEIDA, A. Q. DE
700 1 $aTHENKABAIL, P. S.
700 1 $aSANTOS, A. F. M.
773 $tIn: THENKABAIL, P. S. (ed.). Remote sensing handbook. 2. ed. Boca Raton, FL: CRC Press, 2024.$gv. 5. cap. 11.
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