A Comparative Study of Techniques for Modeling the Spatiotemporal Distribution of Heat and Moisture Fluxes at Different Agroecosystems in Brazil
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , , |
Tipo de documento: | Capítulo de livro |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1201/b15610-11 http://hdl.handle.net/11449/242210 |
Resumo: | The difficulties to measure the energy fluxes from mixed agroecosystems by field experiments make the use of remote sensing by satellite images a valuable application and its use for this purpose has already been demonstrated in different climate regions (Tang et al. 2009; Teixeira 2010; Miralles et al. 2011; Anderson et al. 2012; Pôças et al. 2013). Remote sensing is a suitable way for determining and mapping the spatial and temporal structure of the water and energy balance components. Hydrological models can be too complex and costly to be used for this purpose because of unavailability of datasets in different hydrological uniform subareas (Majumdar et al. 2007). |
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Repositório Institucional da UNESP |
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A Comparative Study of Techniques for Modeling the Spatiotemporal Distribution of Heat and Moisture Fluxes at Different Agroecosystems in BrazilThe difficulties to measure the energy fluxes from mixed agroecosystems by field experiments make the use of remote sensing by satellite images a valuable application and its use for this purpose has already been demonstrated in different climate regions (Tang et al. 2009; Teixeira 2010; Miralles et al. 2011; Anderson et al. 2012; Pôças et al. 2013). Remote sensing is a suitable way for determining and mapping the spatial and temporal structure of the water and energy balance components. Hydrological models can be too complex and costly to be used for this purpose because of unavailability of datasets in different hydrological uniform subareas (Majumdar et al. 2007).Embrapa, São PauloUNESP, São PauloUNIVASF, PernambucoANA, Distrito FederalEmbrapa, PernambucoUNESP, São PauloEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Universidade Estadual Paulista (UNESP)UNIVASFANAde Castro Teixeira, Antônio HeribertoHernandez, Fernando Braz Tangerino [UNESP]Lopes, H. L.Scherer-Warren, MorrisBassoi, Luís Henrique2023-03-02T11:51:28Z2023-03-02T11:51:28Z2013-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookPart165-187http://dx.doi.org/10.1201/b15610-11Remote Sensing of Energy Fluxes and Soil Moisture Content, p. 165-187.http://hdl.handle.net/11449/24221010.1201/b15610-112-s2.0-85136874775Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRemote Sensing of Energy Fluxes and Soil Moisture Contentinfo:eu-repo/semantics/openAccess2023-03-02T11:51:28Zoai:repositorio.unesp.br:11449/242210Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-03-02T11:51:28Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
A Comparative Study of Techniques for Modeling the Spatiotemporal Distribution of Heat and Moisture Fluxes at Different Agroecosystems in Brazil |
title |
A Comparative Study of Techniques for Modeling the Spatiotemporal Distribution of Heat and Moisture Fluxes at Different Agroecosystems in Brazil |
spellingShingle |
A Comparative Study of Techniques for Modeling the Spatiotemporal Distribution of Heat and Moisture Fluxes at Different Agroecosystems in Brazil de Castro Teixeira, Antônio Heriberto |
title_short |
A Comparative Study of Techniques for Modeling the Spatiotemporal Distribution of Heat and Moisture Fluxes at Different Agroecosystems in Brazil |
title_full |
A Comparative Study of Techniques for Modeling the Spatiotemporal Distribution of Heat and Moisture Fluxes at Different Agroecosystems in Brazil |
title_fullStr |
A Comparative Study of Techniques for Modeling the Spatiotemporal Distribution of Heat and Moisture Fluxes at Different Agroecosystems in Brazil |
title_full_unstemmed |
A Comparative Study of Techniques for Modeling the Spatiotemporal Distribution of Heat and Moisture Fluxes at Different Agroecosystems in Brazil |
title_sort |
A Comparative Study of Techniques for Modeling the Spatiotemporal Distribution of Heat and Moisture Fluxes at Different Agroecosystems in Brazil |
author |
de Castro Teixeira, Antônio Heriberto |
author_facet |
de Castro Teixeira, Antônio Heriberto Hernandez, Fernando Braz Tangerino [UNESP] Lopes, H. L. Scherer-Warren, Morris Bassoi, Luís Henrique |
author_role |
author |
author2 |
Hernandez, Fernando Braz Tangerino [UNESP] Lopes, H. L. Scherer-Warren, Morris Bassoi, Luís Henrique |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) Universidade Estadual Paulista (UNESP) UNIVASF ANA |
dc.contributor.author.fl_str_mv |
de Castro Teixeira, Antônio Heriberto Hernandez, Fernando Braz Tangerino [UNESP] Lopes, H. L. Scherer-Warren, Morris Bassoi, Luís Henrique |
description |
The difficulties to measure the energy fluxes from mixed agroecosystems by field experiments make the use of remote sensing by satellite images a valuable application and its use for this purpose has already been demonstrated in different climate regions (Tang et al. 2009; Teixeira 2010; Miralles et al. 2011; Anderson et al. 2012; Pôças et al. 2013). Remote sensing is a suitable way for determining and mapping the spatial and temporal structure of the water and energy balance components. Hydrological models can be too complex and costly to be used for this purpose because of unavailability of datasets in different hydrological uniform subareas (Majumdar et al. 2007). |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-01-01 2023-03-02T11:51:28Z 2023-03-02T11:51:28Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/bookPart |
format |
bookPart |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1201/b15610-11 Remote Sensing of Energy Fluxes and Soil Moisture Content, p. 165-187. http://hdl.handle.net/11449/242210 10.1201/b15610-11 2-s2.0-85136874775 |
url |
http://dx.doi.org/10.1201/b15610-11 http://hdl.handle.net/11449/242210 |
identifier_str_mv |
Remote Sensing of Energy Fluxes and Soil Moisture Content, p. 165-187. 10.1201/b15610-11 2-s2.0-85136874775 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Remote Sensing of Energy Fluxes and Soil Moisture Content |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
165-187 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1797789274772340736 |