Satellite-based ET estimation using Landsat 8 images and SEBAL model

Detalhes bibliográficos
Autor(a) principal: Silva,Bruno Bonemberger da
Data de Publicação: 2018
Outros Autores: Mercante,Erivelto, Boas,Marcio Antonio Vilas, Wrublack,Suzana Costa, Oldoni,Lucas Volochen
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista ciência agronômica (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902018000200221
Resumo: ABSTRACT Estimation of evapotranspiration is a key factor to achieve sustainable water management in irrigated agriculture because it represents water use of crops. Satellite-based estimations provide advantages compared to direct methods as lysimeters especially when the objective is to calculate evapotranspiration at a regional scale. The present study aimed to estimate the actual evapotranspiration (ET) at a regional scale, using Landsat 8 - OLI/TIRS images and complementary data collected from a weather station. SEBAL model was used in South-West Paraná, region composed of irrigated and dry agricultural areas, native vegetation and urban areas. Five Landsat 8 images, row 223 and path 78, DOY 336/2013, 19/2014, 35/2014, 131/2014 and 195/2014 were used, from which ET at daily scale was estimated as a residual of the surface energy balance to produce ET maps. The steps for obtain ET using SEBAL include radiometric calibration, calculation of the reflectance, surface albedo, vegetation indexes (NDVI, SAVI and LAI) and emissivity. These parameters were obtained based on the reflective bands of the orbital sensor with temperature surface estimated from thermal band. The estimated ET values in agricultural areas, native vegetation and urban areas using SEBAL algorithm were compatible with those shown in the literature and ET errors between the ET estimates from SEBAL model and Penman Monteith FAO 56 equation were less than or equal to 1.00 mm day-1.
id UFC-2_b8129452fe402d304a7f9f4130ab434c
oai_identifier_str oai:scielo:S1806-66902018000200221
network_acronym_str UFC-2
network_name_str Revista ciência agronômica (Online)
repository_id_str
spelling Satellite-based ET estimation using Landsat 8 images and SEBAL modelWater managementLand coverEnergy balanceABSTRACT Estimation of evapotranspiration is a key factor to achieve sustainable water management in irrigated agriculture because it represents water use of crops. Satellite-based estimations provide advantages compared to direct methods as lysimeters especially when the objective is to calculate evapotranspiration at a regional scale. The present study aimed to estimate the actual evapotranspiration (ET) at a regional scale, using Landsat 8 - OLI/TIRS images and complementary data collected from a weather station. SEBAL model was used in South-West Paraná, region composed of irrigated and dry agricultural areas, native vegetation and urban areas. Five Landsat 8 images, row 223 and path 78, DOY 336/2013, 19/2014, 35/2014, 131/2014 and 195/2014 were used, from which ET at daily scale was estimated as a residual of the surface energy balance to produce ET maps. The steps for obtain ET using SEBAL include radiometric calibration, calculation of the reflectance, surface albedo, vegetation indexes (NDVI, SAVI and LAI) and emissivity. These parameters were obtained based on the reflective bands of the orbital sensor with temperature surface estimated from thermal band. The estimated ET values in agricultural areas, native vegetation and urban areas using SEBAL algorithm were compatible with those shown in the literature and ET errors between the ET estimates from SEBAL model and Penman Monteith FAO 56 equation were less than or equal to 1.00 mm day-1.Universidade Federal do Ceará2018-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902018000200221Revista Ciência Agronômica v.49 n.2 2018reponame:Revista ciência agronômica (Online)instname:Universidade Federal do Ceará (UFC)instacron:UFC10.5935/1806-6690.20180025info:eu-repo/semantics/openAccessSilva,Bruno Bonemberger daMercante,EriveltoBoas,Marcio Antonio VilasWrublack,Suzana CostaOldoni,Lucas Volocheneng2018-04-05T00:00:00Zoai:scielo:S1806-66902018000200221Revistahttp://www.ccarevista.ufc.br/PUBhttps://old.scielo.br/oai/scielo-oai.php||alekdutra@ufc.br|| ccarev@ufc.br1806-66900045-6888opendoar:2018-04-05T00:00Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv Satellite-based ET estimation using Landsat 8 images and SEBAL model
title Satellite-based ET estimation using Landsat 8 images and SEBAL model
spellingShingle Satellite-based ET estimation using Landsat 8 images and SEBAL model
Silva,Bruno Bonemberger da
Water management
Land cover
Energy balance
title_short Satellite-based ET estimation using Landsat 8 images and SEBAL model
title_full Satellite-based ET estimation using Landsat 8 images and SEBAL model
title_fullStr Satellite-based ET estimation using Landsat 8 images and SEBAL model
title_full_unstemmed Satellite-based ET estimation using Landsat 8 images and SEBAL model
title_sort Satellite-based ET estimation using Landsat 8 images and SEBAL model
author Silva,Bruno Bonemberger da
author_facet Silva,Bruno Bonemberger da
Mercante,Erivelto
Boas,Marcio Antonio Vilas
Wrublack,Suzana Costa
Oldoni,Lucas Volochen
author_role author
author2 Mercante,Erivelto
Boas,Marcio Antonio Vilas
Wrublack,Suzana Costa
Oldoni,Lucas Volochen
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Silva,Bruno Bonemberger da
Mercante,Erivelto
Boas,Marcio Antonio Vilas
Wrublack,Suzana Costa
Oldoni,Lucas Volochen
dc.subject.por.fl_str_mv Water management
Land cover
Energy balance
topic Water management
Land cover
Energy balance
description ABSTRACT Estimation of evapotranspiration is a key factor to achieve sustainable water management in irrigated agriculture because it represents water use of crops. Satellite-based estimations provide advantages compared to direct methods as lysimeters especially when the objective is to calculate evapotranspiration at a regional scale. The present study aimed to estimate the actual evapotranspiration (ET) at a regional scale, using Landsat 8 - OLI/TIRS images and complementary data collected from a weather station. SEBAL model was used in South-West Paraná, region composed of irrigated and dry agricultural areas, native vegetation and urban areas. Five Landsat 8 images, row 223 and path 78, DOY 336/2013, 19/2014, 35/2014, 131/2014 and 195/2014 were used, from which ET at daily scale was estimated as a residual of the surface energy balance to produce ET maps. The steps for obtain ET using SEBAL include radiometric calibration, calculation of the reflectance, surface albedo, vegetation indexes (NDVI, SAVI and LAI) and emissivity. These parameters were obtained based on the reflective bands of the orbital sensor with temperature surface estimated from thermal band. The estimated ET values in agricultural areas, native vegetation and urban areas using SEBAL algorithm were compatible with those shown in the literature and ET errors between the ET estimates from SEBAL model and Penman Monteith FAO 56 equation were less than or equal to 1.00 mm day-1.
publishDate 2018
dc.date.none.fl_str_mv 2018-06-01
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=S1806-66902018000200221
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902018000200221
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5935/1806-6690.20180025
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 Universidade Federal do Ceará
publisher.none.fl_str_mv Universidade Federal do Ceará
dc.source.none.fl_str_mv Revista Ciência Agronômica v.49 n.2 2018
reponame:Revista ciência agronômica (Online)
instname:Universidade Federal do Ceará (UFC)
instacron:UFC
instname_str Universidade Federal do Ceará (UFC)
instacron_str UFC
institution UFC
reponame_str Revista ciência agronômica (Online)
collection Revista ciência agronômica (Online)
repository.name.fl_str_mv Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)
repository.mail.fl_str_mv ||alekdutra@ufc.br|| ccarev@ufc.br
_version_ 1750297489005608960