MOD16: Desafios e limitações para a estimativa global de evapotranspiração
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo de conferência |
Idioma: | por |
Título da fonte: | Repositório Institucional da FURG (RI FURG) |
Texto Completo: | http://repositorio.furg.br/handle/1/1256 |
Resumo: | This article present preliminary results from the NASA’s EOS MOD16 Project, which aims to estimate global evapotranspiration (ET) using remote sensing and meteorological data. The MOD16 algorithm considers both the surface energy partitioning process and environmental constraints on ET to provide critical information on the regional and global water cycle. The objective of this research is to evaluate the version 1 of the global remote sensing evapotranspiration algorithm (MOD16). We analyzed the accuracy of the algorithm using ET observations at two eddy covariance (EC) flux tower sites in different land uses and land covers (tropical rainforest (K34) and seasonal forest (RJA)), from the Large Scale Biosphere-Atmosphere in Amazonia Project (LBA). The result shows that 8-days average, monthly ET and yearly ET are in consistent with observations of eddy covariance flux tower sites when the land cover classification is correct. However misclassification of the land cover leads to the selection of wrong parameters for vapor pressure deficit (VPD) and minimum air temperature for stomatal conductance constraints, resulting in less accurate ET estimates. The existing biases between MOD16 ET and EC observations and hydrological models may be influenced by algorithm input data, such as LAI and land cover classification. Developing a robust algorithm to estimate global ET is a significant challenge because traditionally ET models require explicit characterization of numerous surface and atmospheric parameters which are difficult to determine globally. |
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Ruhoff, Anderson LuisAragão, Luiz Eduardo Oliveira e Cruz deCollischonn, WalterRocha, Humberto Ribeiro daMu, QiaozhenRunning, Steven2011-11-01T19:47:16Z2011-11-01T19:47:16Z2011RUHOFF, A. L. et al. MOD16: Desafios e limitações para a estimativa global de evapotranspiração. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO - SBSR, 15., 2011, Curitiba. Anais eletrônicos... Curitiba: INPE, 2011, Disponível em: <http://www.dsr.inpe.br/sbsr2011/files/p0673.pdf> Acesso em: 26 out. 2011.http://repositorio.furg.br/handle/1/1256This article present preliminary results from the NASA’s EOS MOD16 Project, which aims to estimate global evapotranspiration (ET) using remote sensing and meteorological data. The MOD16 algorithm considers both the surface energy partitioning process and environmental constraints on ET to provide critical information on the regional and global water cycle. The objective of this research is to evaluate the version 1 of the global remote sensing evapotranspiration algorithm (MOD16). We analyzed the accuracy of the algorithm using ET observations at two eddy covariance (EC) flux tower sites in different land uses and land covers (tropical rainforest (K34) and seasonal forest (RJA)), from the Large Scale Biosphere-Atmosphere in Amazonia Project (LBA). The result shows that 8-days average, monthly ET and yearly ET are in consistent with observations of eddy covariance flux tower sites when the land cover classification is correct. However misclassification of the land cover leads to the selection of wrong parameters for vapor pressure deficit (VPD) and minimum air temperature for stomatal conductance constraints, resulting in less accurate ET estimates. The existing biases between MOD16 ET and EC observations and hydrological models may be influenced by algorithm input data, such as LAI and land cover classification. Developing a robust algorithm to estimate global ET is a significant challenge because traditionally ET models require explicit characterization of numerous surface and atmospheric parameters which are difficult to determine globally.porMODISMOD16EvapotranspirationTropical biomesEnergy fluxesEvapotranspiraçãoFluxos de energiaBiomas tropicaisMOD16: Desafios e limitações para a estimativa global de evapotranspiraçãoinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FURG (RI FURG)instname:Universidade Federal do Rio Grande (FURG)instacron:FURGORIGINALMOD16Desafios e limitações para a estimativa global de evapotransição.pdfMOD16Desafios e limitações para a estimativa global de evapotransição.pdfapplication/pdf609378https://repositorio.furg.br/bitstream/1/1256/1/MOD16Desafios%20e%20limita%c3%a7%c3%b5es%20para%20a%20estimativa%20global%20de%20evapotransi%c3%a7%c3%a3o.pdff0ea4707e132cf4c6901b6988d364d9cMD51open accessLICENSElicense.txtlicense.txttext/plain; charset=utf-81724https://repositorio.furg.br/bitstream/1/1256/2/license.txt5b92b9704b4f13242d70e45ddef35a68MD52open access1/12562021-01-20 20:25:23.525open accessoai:repositorio.furg.br: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Repositório InstitucionalPUBhttps://repositorio.furg.br/oai/request || http://200.19.254.174/oai/requestopendoar:2021-01-20T23:25:23Repositório Institucional da FURG (RI FURG) - Universidade Federal do Rio Grande (FURG)false |
dc.title.pt_BR.fl_str_mv |
MOD16: Desafios e limitações para a estimativa global de evapotranspiração |
title |
MOD16: Desafios e limitações para a estimativa global de evapotranspiração |
spellingShingle |
MOD16: Desafios e limitações para a estimativa global de evapotranspiração Ruhoff, Anderson Luis MODIS MOD16 Evapotranspiration Tropical biomes Energy fluxes Evapotranspiração Fluxos de energia Biomas tropicais |
title_short |
MOD16: Desafios e limitações para a estimativa global de evapotranspiração |
title_full |
MOD16: Desafios e limitações para a estimativa global de evapotranspiração |
title_fullStr |
MOD16: Desafios e limitações para a estimativa global de evapotranspiração |
title_full_unstemmed |
MOD16: Desafios e limitações para a estimativa global de evapotranspiração |
title_sort |
MOD16: Desafios e limitações para a estimativa global de evapotranspiração |
author |
Ruhoff, Anderson Luis |
author_facet |
Ruhoff, Anderson Luis Aragão, Luiz Eduardo Oliveira e Cruz de Collischonn, Walter Rocha, Humberto Ribeiro da Mu, Qiaozhen Running, Steven |
author_role |
author |
author2 |
Aragão, Luiz Eduardo Oliveira e Cruz de Collischonn, Walter Rocha, Humberto Ribeiro da Mu, Qiaozhen Running, Steven |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Ruhoff, Anderson Luis Aragão, Luiz Eduardo Oliveira e Cruz de Collischonn, Walter Rocha, Humberto Ribeiro da Mu, Qiaozhen Running, Steven |
dc.subject.por.fl_str_mv |
MODIS MOD16 Evapotranspiration Tropical biomes Energy fluxes Evapotranspiração Fluxos de energia Biomas tropicais |
topic |
MODIS MOD16 Evapotranspiration Tropical biomes Energy fluxes Evapotranspiração Fluxos de energia Biomas tropicais |
description |
This article present preliminary results from the NASA’s EOS MOD16 Project, which aims to estimate global evapotranspiration (ET) using remote sensing and meteorological data. The MOD16 algorithm considers both the surface energy partitioning process and environmental constraints on ET to provide critical information on the regional and global water cycle. The objective of this research is to evaluate the version 1 of the global remote sensing evapotranspiration algorithm (MOD16). We analyzed the accuracy of the algorithm using ET observations at two eddy covariance (EC) flux tower sites in different land uses and land covers (tropical rainforest (K34) and seasonal forest (RJA)), from the Large Scale Biosphere-Atmosphere in Amazonia Project (LBA). The result shows that 8-days average, monthly ET and yearly ET are in consistent with observations of eddy covariance flux tower sites when the land cover classification is correct. However misclassification of the land cover leads to the selection of wrong parameters for vapor pressure deficit (VPD) and minimum air temperature for stomatal conductance constraints, resulting in less accurate ET estimates. The existing biases between MOD16 ET and EC observations and hydrological models may be influenced by algorithm input data, such as LAI and land cover classification. Developing a robust algorithm to estimate global ET is a significant challenge because traditionally ET models require explicit characterization of numerous surface and atmospheric parameters which are difficult to determine globally. |
publishDate |
2011 |
dc.date.accessioned.fl_str_mv |
2011-11-01T19:47:16Z |
dc.date.available.fl_str_mv |
2011-11-01T19:47:16Z |
dc.date.issued.fl_str_mv |
2011 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
RUHOFF, A. L. et al. MOD16: Desafios e limitações para a estimativa global de evapotranspiração. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO - SBSR, 15., 2011, Curitiba. Anais eletrônicos... Curitiba: INPE, 2011, Disponível em: <http://www.dsr.inpe.br/sbsr2011/files/p0673.pdf> Acesso em: 26 out. 2011. |
dc.identifier.uri.fl_str_mv |
http://repositorio.furg.br/handle/1/1256 |
identifier_str_mv |
RUHOFF, A. L. et al. MOD16: Desafios e limitações para a estimativa global de evapotranspiração. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO - SBSR, 15., 2011, Curitiba. Anais eletrônicos... Curitiba: INPE, 2011, Disponível em: <http://www.dsr.inpe.br/sbsr2011/files/p0673.pdf> Acesso em: 26 out. 2011. |
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http://repositorio.furg.br/handle/1/1256 |
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