Evapotranspiration from Remote Sensing to Improve the Swat Model in Eastern Amazonia

Detalhes bibliográficos
Autor(a) principal: Sousa,Adriano Marlison Leão de
Data de Publicação: 2015
Outros Autores: Vitorino,Maria Isabel, Castro,Nilza Maria dos Reis, Botelho,Marcel do Nascimento, Souza,Paulo Jorge Oliveira Ponte de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Floresta e Ambiente
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872015000400456
Resumo: ABSTRACT In this study, we estimated the evapotranspiration from orbital images - MODIS (Moderate Resolution Imaging Spectroradiometer) for assimilation in the hydrological modeling of the SWAT (Soil Water Assessment Tools) model. The data used include the period between October 2003 and December 2006 of the sub-basin of the Lajeado River, located in the Tocantins-Araguaia River basin in Tocantins state. Overall, the results of the use of heat flows estimated by remote sensors in the SWAT model can be considered satisfactory. The values of the COE (coefficient of efficiency of Nash-Sutcliffe) ranged from -0.40 to 0.91 in the comparison with the daily flow data and from 0.17 to 0.77 with the monthly flow data, with the assimilation of evapotranspiration from orbital images. These results indicate benefit to the model adjustment due to improvement in the data assimilated of approximately 0.91 in the COE on daily scale and 0.60 in the CEO on monthly scale.
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spelling Evapotranspiration from Remote Sensing to Improve the Swat Model in Eastern AmazoniaMODIShydrologymodelingABSTRACT In this study, we estimated the evapotranspiration from orbital images - MODIS (Moderate Resolution Imaging Spectroradiometer) for assimilation in the hydrological modeling of the SWAT (Soil Water Assessment Tools) model. The data used include the period between October 2003 and December 2006 of the sub-basin of the Lajeado River, located in the Tocantins-Araguaia River basin in Tocantins state. Overall, the results of the use of heat flows estimated by remote sensors in the SWAT model can be considered satisfactory. The values of the COE (coefficient of efficiency of Nash-Sutcliffe) ranged from -0.40 to 0.91 in the comparison with the daily flow data and from 0.17 to 0.77 with the monthly flow data, with the assimilation of evapotranspiration from orbital images. These results indicate benefit to the model adjustment due to improvement in the data assimilated of approximately 0.91 in the COE on daily scale and 0.60 in the CEO on monthly scale.Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro2015-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872015000400456Floresta e Ambiente v.22 n.4 2015reponame:Floresta e Ambienteinstname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJ10.1590/2179-8087.083814info:eu-repo/semantics/openAccessSousa,Adriano Marlison Leão deVitorino,Maria IsabelCastro,Nilza Maria dos ReisBotelho,Marcel do NascimentoSouza,Paulo Jorge Oliveira Ponte deeng2015-12-11T00:00:00Zoai:scielo:S2179-80872015000400456Revistahttps://www.floram.org/PUBhttps://old.scielo.br/oai/scielo-oai.phpfloramjournal@gmail.com||floram@ufrrj.br||2179-80871415-0980opendoar:2015-12-11T00:00Floresta e Ambiente - Universidade Federal do Rio de Janeiro (UFRJ)false
dc.title.none.fl_str_mv Evapotranspiration from Remote Sensing to Improve the Swat Model in Eastern Amazonia
title Evapotranspiration from Remote Sensing to Improve the Swat Model in Eastern Amazonia
spellingShingle Evapotranspiration from Remote Sensing to Improve the Swat Model in Eastern Amazonia
Sousa,Adriano Marlison Leão de
MODIS
hydrology
modeling
title_short Evapotranspiration from Remote Sensing to Improve the Swat Model in Eastern Amazonia
title_full Evapotranspiration from Remote Sensing to Improve the Swat Model in Eastern Amazonia
title_fullStr Evapotranspiration from Remote Sensing to Improve the Swat Model in Eastern Amazonia
title_full_unstemmed Evapotranspiration from Remote Sensing to Improve the Swat Model in Eastern Amazonia
title_sort Evapotranspiration from Remote Sensing to Improve the Swat Model in Eastern Amazonia
author Sousa,Adriano Marlison Leão de
author_facet Sousa,Adriano Marlison Leão de
Vitorino,Maria Isabel
Castro,Nilza Maria dos Reis
Botelho,Marcel do Nascimento
Souza,Paulo Jorge Oliveira Ponte de
author_role author
author2 Vitorino,Maria Isabel
Castro,Nilza Maria dos Reis
Botelho,Marcel do Nascimento
Souza,Paulo Jorge Oliveira Ponte de
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Sousa,Adriano Marlison Leão de
Vitorino,Maria Isabel
Castro,Nilza Maria dos Reis
Botelho,Marcel do Nascimento
Souza,Paulo Jorge Oliveira Ponte de
dc.subject.por.fl_str_mv MODIS
hydrology
modeling
topic MODIS
hydrology
modeling
description ABSTRACT In this study, we estimated the evapotranspiration from orbital images - MODIS (Moderate Resolution Imaging Spectroradiometer) for assimilation in the hydrological modeling of the SWAT (Soil Water Assessment Tools) model. The data used include the period between October 2003 and December 2006 of the sub-basin of the Lajeado River, located in the Tocantins-Araguaia River basin in Tocantins state. Overall, the results of the use of heat flows estimated by remote sensors in the SWAT model can be considered satisfactory. The values of the COE (coefficient of efficiency of Nash-Sutcliffe) ranged from -0.40 to 0.91 in the comparison with the daily flow data and from 0.17 to 0.77 with the monthly flow data, with the assimilation of evapotranspiration from orbital images. These results indicate benefit to the model adjustment due to improvement in the data assimilated of approximately 0.91 in the COE on daily scale and 0.60 in the CEO on monthly scale.
publishDate 2015
dc.date.none.fl_str_mv 2015-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872015000400456
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872015000400456
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/2179-8087.083814
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro
publisher.none.fl_str_mv Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro
dc.source.none.fl_str_mv Floresta e Ambiente v.22 n.4 2015
reponame:Floresta e Ambiente
instname:Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ
instname_str Universidade Federal do Rio de Janeiro (UFRJ)
instacron_str UFRJ
institution UFRJ
reponame_str Floresta e Ambiente
collection Floresta e Ambiente
repository.name.fl_str_mv Floresta e Ambiente - Universidade Federal do Rio de Janeiro (UFRJ)
repository.mail.fl_str_mv floramjournal@gmail.com||floram@ufrrj.br||
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