Dynamic mapping of evapotranspiration using an energy balance-based model over an andean páramo catchment of southern ecuador

Understanding of evapotranspiration (ET) processes over Andean mountain environments is crucial, particularly due to the importance of these regions to deliver water-related ecosystem services. In this context, the detection of spatio-temporal changes in ET remains poorly investigated for specific A...

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Detalles Bibliográficos
Autores: Carrillo Rojas, Galo Jose, Celleri Alvear, Rolando Enrique, Cordova Mora, Mário Andrés
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2016
País:Ecuador
Institución:Universidad de Cuenca
Repositorio:Repositorio Universidad de Cuenca
OAI Identifier:oai:dspace.ucuenca.edu.ec:123456789/28961
Acceso en línea:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962534942&doi=10.3390%2frs8020160&partnerID=40&md5=687bab2a263da25fd6d790d94510f7f3
http://dspace.ucuenca.edu.ec/handle/123456789/28961
Access Level:acceso abierto
Palabra clave:Andes
Ecuador
Evapotranspiration
Landsat
Metric
Modis
Páramo
Remote Sensing
Tropical Mountains
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spelling Dynamic mapping of evapotranspiration using an energy balance-based model over an andean páramo catchment of southern ecuadorCarrillo Rojas, Galo JoseCelleri Alvear, Rolando EnriqueCordova Mora, Mário AndrésAndesEcuadorEvapotranspirationLandsatMetricModisPáramoRemote SensingTropical MountainsUnderstanding of evapotranspiration (ET) processes over Andean mountain environments is crucial, particularly due to the importance of these regions to deliver water-related ecosystem services. In this context, the detection of spatio-temporal changes in ET remains poorly investigated for specific Andean ecosystems, like the páramo. To overcome this lack of knowledge, we implemented the energy-balance model METRIC with Landsat 7 ETM+ and MODIS-Terra imagery for a páramo catchment. The implementation contemplated adjustments for complex terrain in order to obtain daily, monthly and annual ET maps (between 2013 and 2014). In addition, we compared our results to the global ET product MOD16. Finally, a rigorous validation of the outputs was conducted with residual ET from the water balance. ET retrievals from METRIC (Landsat-based) showed good agreement with the validation-related ET at monthly and annual steps (mean bias error <8 mm. month-1 and annual deviation <17%). However, METRIC (MODIS-based) outputs and the MOD16 product were revealed to be unsuitable for our study due to the low spatial resolution. At last, the plausibility of METRIC to obtain spatial ET retrievals using higher resolution satellite data is demonstrated, which constitutes the first contribution to the understanding of spatially-explicit ET over an alpine catchment in the neo-tropical Andes.MDPI AG2018-01-11T16:46:58Z2018-01-11T16:46:58Z2016-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdf20724292https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962534942&doi=10.3390%2frs8020160&partnerID=40&md5=687bab2a263da25fd6d790d94510f7f3http://dspace.ucuenca.edu.ec/handle/123456789/2896110.3390/rs8020160Remote Sensingreponame:Repositorio Universidad de Cuencainstname:Universidad de Cuencainstacron:UCUENCAen_USinfo:eu-repo/semantics/openAccess2020-08-01T01:14:14Zoai:dspace.ucuenca.edu.ec:123456789/28961Institucionalhttp://dspace.ucuenca.edu.ec/Universidad públicahttps://www.ucuenca.edu.ec/http://dspace.ucuenca.edu.ec/oai.Ecuador...opendoar:41862020-08-01T01:14:14Repositorio Universidad de Cuenca - Universidad de Cuencafalse
dc.title.none.fl_str_mv Dynamic mapping of evapotranspiration using an energy balance-based model over an andean páramo catchment of southern ecuador
title Dynamic mapping of evapotranspiration using an energy balance-based model over an andean páramo catchment of southern ecuador
spellingShingle Dynamic mapping of evapotranspiration using an energy balance-based model over an andean páramo catchment of southern ecuador
Carrillo Rojas, Galo Jose
Andes
Ecuador
Evapotranspiration
Landsat
Metric
Modis
Páramo
Remote Sensing
Tropical Mountains
title_short Dynamic mapping of evapotranspiration using an energy balance-based model over an andean páramo catchment of southern ecuador
title_full Dynamic mapping of evapotranspiration using an energy balance-based model over an andean páramo catchment of southern ecuador
title_fullStr Dynamic mapping of evapotranspiration using an energy balance-based model over an andean páramo catchment of southern ecuador
title_full_unstemmed Dynamic mapping of evapotranspiration using an energy balance-based model over an andean páramo catchment of southern ecuador
title_sort Dynamic mapping of evapotranspiration using an energy balance-based model over an andean páramo catchment of southern ecuador
dc.creator.none.fl_str_mv Carrillo Rojas, Galo Jose
Celleri Alvear, Rolando Enrique
Cordova Mora, Mário Andrés
author Carrillo Rojas, Galo Jose
author_facet Carrillo Rojas, Galo Jose
Celleri Alvear, Rolando Enrique
Cordova Mora, Mário Andrés
author_role author
author2 Celleri Alvear, Rolando Enrique
Cordova Mora, Mário Andrés
author2_role author
author
dc.subject.none.fl_str_mv Andes
Ecuador
Evapotranspiration
Landsat
Metric
Modis
Páramo
Remote Sensing
Tropical Mountains
topic Andes
Ecuador
Evapotranspiration
Landsat
Metric
Modis
Páramo
Remote Sensing
Tropical Mountains
description Understanding of evapotranspiration (ET) processes over Andean mountain environments is crucial, particularly due to the importance of these regions to deliver water-related ecosystem services. In this context, the detection of spatio-temporal changes in ET remains poorly investigated for specific Andean ecosystems, like the páramo. To overcome this lack of knowledge, we implemented the energy-balance model METRIC with Landsat 7 ETM+ and MODIS-Terra imagery for a páramo catchment. The implementation contemplated adjustments for complex terrain in order to obtain daily, monthly and annual ET maps (between 2013 and 2014). In addition, we compared our results to the global ET product MOD16. Finally, a rigorous validation of the outputs was conducted with residual ET from the water balance. ET retrievals from METRIC (Landsat-based) showed good agreement with the validation-related ET at monthly and annual steps (mean bias error <8 mm. month-1 and annual deviation <17%). However, METRIC (MODIS-based) outputs and the MOD16 product were revealed to be unsuitable for our study due to the low spatial resolution. At last, the plausibility of METRIC to obtain spatial ET retrievals using higher resolution satellite data is demonstrated, which constitutes the first contribution to the understanding of spatially-explicit ET over an alpine catchment in the neo-tropical Andes.
publishDate 2016
dc.date.none.fl_str_mv 2016-01-01
2018-01-11T16:46:58Z
2018-01-11T16:46:58Z
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv 20724292
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962534942&doi=10.3390%2frs8020160&partnerID=40&md5=687bab2a263da25fd6d790d94510f7f3
http://dspace.ucuenca.edu.ec/handle/123456789/28961
10.3390/rs8020160
identifier_str_mv 20724292
10.3390/rs8020160
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962534942&doi=10.3390%2frs8020160&partnerID=40&md5=687bab2a263da25fd6d790d94510f7f3
http://dspace.ucuenca.edu.ec/handle/123456789/28961
dc.language.none.fl_str_mv en_US
language_invalid_str_mv en_US
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI AG
publisher.none.fl_str_mv MDPI AG
dc.source.none.fl_str_mv Remote Sensing
reponame:Repositorio Universidad de Cuenca
instname:Universidad de Cuenca
instacron:UCUENCA
instname_str Universidad de Cuenca
instacron_str UCUENCA
institution UCUENCA
reponame_str Repositorio Universidad de Cuenca
collection Repositorio Universidad de Cuenca
repository.name.fl_str_mv Repositorio Universidad de Cuenca - Universidad de Cuenca
repository.mail.fl_str_mv .
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score 15.301603

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