Validation of remotely-sensed evapotranspiration and NDWI using ground measurements at Riverlands, South Africa

Autores
Jovanovic, Nebo; García, César Luis; Bugan, Richard DH; Teich, Ingrid; Garcia Rodriguez, Carlos Marcelo
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Quantification of the water cycle components is key to managing water resources. Remote sensing techniques and products have recently been developed for the estimation of water balance variables. The objective of this study was to test the reliability of LandSAF (Land Surface Analyses Satellite Applications Facility) evapotranspiration (ET) and SPOT-Vegetation Normalised Difference Water Index (NDWI) by comparison with ground-based measurements. Evapotranspiration (both daily and 30 min) was successfully estimated with LandSAF products in a flat area dominated by fynbos vegetation (Riverlands, Western Cape) that was representative of the satellite image pixel at 3 km resolution. Correlation coefficients were 0.85 and 0.91 and linear regressions produced R2 of 0.72 and 0.75 for 30 min and daily ET, respectively. Ground-measurements of soil water content taken with capacitance sensors at 3 depths were related to NDWI obtained from 10-daily maximum value composites of SPOT-Vegetation images at a resolution of 1 km. Multiple regression models showed that NDWI relates well to soil water content after accounting for precipitation (adjusted R2 were 0.71, 0.59 and 0.54 for 10, 40 and 80 cm soil depth, respectively). Changes in NDWI trends in different land covers were detected in 14-year time series using the breaks for additive seasonal and trend (BFAST) methodology. Appropriate usage, awareness of limitations and correct interpretation of remote sensing data can facilitate water management and planning operations.
Fil: Jovanovic, Nebo. Natural Resources and Environment; Sudáfrica
Fil: García, César Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Católica de Córdoba; Argentina
Fil: Bugan, Richard DH. Natural Resources and Environment; Sudáfrica
Fil: Teich, Ingrid. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Departamento de Desarrollo Rural. Area de Estadística y Biometría; Argentina
Fil: Garcia Rodriguez, Carlos Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Córdoba; Argentina
Materia
Fynbos
LandSAF ET
scintillometry
SPOT-Vegetation NDWI
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/33875
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/33875
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Validation of remotely-sensed evapotranspiration and NDWI using ground measurements at Riverlands, South AfricaJovanovic, NeboGarcía, César LuisBugan, Richard DHTeich, IngridGarcia Rodriguez, Carlos MarceloFynbosLandSAF ETscintillometrySPOT-Vegetation NDWIhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1https://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1https://purl.org/becyt/ford/2.7https://purl.org/becyt/ford/2Quantification of the water cycle components is key to managing water resources. Remote sensing techniques and products have recently been developed for the estimation of water balance variables. The objective of this study was to test the reliability of LandSAF (Land Surface Analyses Satellite Applications Facility) evapotranspiration (ET) and SPOT-Vegetation Normalised Difference Water Index (NDWI) by comparison with ground-based measurements. Evapotranspiration (both daily and 30 min) was successfully estimated with LandSAF products in a flat area dominated by fynbos vegetation (Riverlands, Western Cape) that was representative of the satellite image pixel at 3 km resolution. Correlation coefficients were 0.85 and 0.91 and linear regressions produced R2 of 0.72 and 0.75 for 30 min and daily ET, respectively. Ground-measurements of soil water content taken with capacitance sensors at 3 depths were related to NDWI obtained from 10-daily maximum value composites of SPOT-Vegetation images at a resolution of 1 km. Multiple regression models showed that NDWI relates well to soil water content after accounting for precipitation (adjusted R2 were 0.71, 0.59 and 0.54 for 10, 40 and 80 cm soil depth, respectively). Changes in NDWI trends in different land covers were detected in 14-year time series using the breaks for additive seasonal and trend (BFAST) methodology. Appropriate usage, awareness of limitations and correct interpretation of remote sensing data can facilitate water management and planning operations.Fil: Jovanovic, Nebo. Natural Resources and Environment; SudáfricaFil: García, César Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Católica de Córdoba; ArgentinaFil: Bugan, Richard DH. Natural Resources and Environment; SudáfricaFil: Teich, Ingrid. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Departamento de Desarrollo Rural. Area de Estadística y Biometría; ArgentinaFil: Garcia Rodriguez, Carlos Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Córdoba; ArgentinaWater Research Commission2014-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/33875Jovanovic, Nebo; García, César Luis; Bugan, Richard DH; Teich, Ingrid; Garcia Rodriguez, Carlos Marcelo; Validation of remotely-sensed evapotranspiration and NDWI using ground measurements at Riverlands, South Africa; Water Research Commission; Water S.a.; 40; 2; 2-2014; 211-2200378-47381816-7950CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.ajol.info/index.php/wsa/article/view/101713info:eu-repo/semantics/altIdentifier/doi/10.4314/wsa.v40i2.3info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:45:32Zoai:ri.conicet.gov.ar:11336/33875instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:45:32.979CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Validation of remotely-sensed evapotranspiration and NDWI using ground measurements at Riverlands, South Africa
title Validation of remotely-sensed evapotranspiration and NDWI using ground measurements at Riverlands, South Africa
spellingShingle Validation of remotely-sensed evapotranspiration and NDWI using ground measurements at Riverlands, South Africa
Jovanovic, Nebo
Fynbos
LandSAF ET
scintillometry
SPOT-Vegetation NDWI
title_short Validation of remotely-sensed evapotranspiration and NDWI using ground measurements at Riverlands, South Africa
title_full Validation of remotely-sensed evapotranspiration and NDWI using ground measurements at Riverlands, South Africa
title_fullStr Validation of remotely-sensed evapotranspiration and NDWI using ground measurements at Riverlands, South Africa
title_full_unstemmed Validation of remotely-sensed evapotranspiration and NDWI using ground measurements at Riverlands, South Africa
title_sort Validation of remotely-sensed evapotranspiration and NDWI using ground measurements at Riverlands, South Africa
dc.creator.none.fl_str_mv Jovanovic, Nebo
García, César Luis
Bugan, Richard DH
Teich, Ingrid
Garcia Rodriguez, Carlos Marcelo
author Jovanovic, Nebo
author_facet Jovanovic, Nebo
García, César Luis
Bugan, Richard DH
Teich, Ingrid
Garcia Rodriguez, Carlos Marcelo
author_role author
author2 García, César Luis
Bugan, Richard DH
Teich, Ingrid
Garcia Rodriguez, Carlos Marcelo
author2_role author
author
author
author
dc.subject.none.fl_str_mv Fynbos
LandSAF ET
scintillometry
SPOT-Vegetation NDWI
topic Fynbos
LandSAF ET
scintillometry
SPOT-Vegetation NDWI
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/2.7
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Quantification of the water cycle components is key to managing water resources. Remote sensing techniques and products have recently been developed for the estimation of water balance variables. The objective of this study was to test the reliability of LandSAF (Land Surface Analyses Satellite Applications Facility) evapotranspiration (ET) and SPOT-Vegetation Normalised Difference Water Index (NDWI) by comparison with ground-based measurements. Evapotranspiration (both daily and 30 min) was successfully estimated with LandSAF products in a flat area dominated by fynbos vegetation (Riverlands, Western Cape) that was representative of the satellite image pixel at 3 km resolution. Correlation coefficients were 0.85 and 0.91 and linear regressions produced R2 of 0.72 and 0.75 for 30 min and daily ET, respectively. Ground-measurements of soil water content taken with capacitance sensors at 3 depths were related to NDWI obtained from 10-daily maximum value composites of SPOT-Vegetation images at a resolution of 1 km. Multiple regression models showed that NDWI relates well to soil water content after accounting for precipitation (adjusted R2 were 0.71, 0.59 and 0.54 for 10, 40 and 80 cm soil depth, respectively). Changes in NDWI trends in different land covers were detected in 14-year time series using the breaks for additive seasonal and trend (BFAST) methodology. Appropriate usage, awareness of limitations and correct interpretation of remote sensing data can facilitate water management and planning operations.
Fil: Jovanovic, Nebo. Natural Resources and Environment; Sudáfrica
Fil: García, César Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Católica de Córdoba; Argentina
Fil: Bugan, Richard DH. Natural Resources and Environment; Sudáfrica
Fil: Teich, Ingrid. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Departamento de Desarrollo Rural. Area de Estadística y Biometría; Argentina
Fil: Garcia Rodriguez, Carlos Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Córdoba; Argentina
description Quantification of the water cycle components is key to managing water resources. Remote sensing techniques and products have recently been developed for the estimation of water balance variables. The objective of this study was to test the reliability of LandSAF (Land Surface Analyses Satellite Applications Facility) evapotranspiration (ET) and SPOT-Vegetation Normalised Difference Water Index (NDWI) by comparison with ground-based measurements. Evapotranspiration (both daily and 30 min) was successfully estimated with LandSAF products in a flat area dominated by fynbos vegetation (Riverlands, Western Cape) that was representative of the satellite image pixel at 3 km resolution. Correlation coefficients were 0.85 and 0.91 and linear regressions produced R2 of 0.72 and 0.75 for 30 min and daily ET, respectively. Ground-measurements of soil water content taken with capacitance sensors at 3 depths were related to NDWI obtained from 10-daily maximum value composites of SPOT-Vegetation images at a resolution of 1 km. Multiple regression models showed that NDWI relates well to soil water content after accounting for precipitation (adjusted R2 were 0.71, 0.59 and 0.54 for 10, 40 and 80 cm soil depth, respectively). Changes in NDWI trends in different land covers were detected in 14-year time series using the breaks for additive seasonal and trend (BFAST) methodology. Appropriate usage, awareness of limitations and correct interpretation of remote sensing data can facilitate water management and planning operations.
publishDate 2014
dc.date.none.fl_str_mv 2014-02
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/33875
Jovanovic, Nebo; García, César Luis; Bugan, Richard DH; Teich, Ingrid; Garcia Rodriguez, Carlos Marcelo; Validation of remotely-sensed evapotranspiration and NDWI using ground measurements at Riverlands, South Africa; Water Research Commission; Water S.a.; 40; 2; 2-2014; 211-220
0378-4738
1816-7950
CONICET Digital
CONICET
url http://hdl.handle.net/11336/33875
identifier_str_mv Jovanovic, Nebo; García, César Luis; Bugan, Richard DH; Teich, Ingrid; Garcia Rodriguez, Carlos Marcelo; Validation of remotely-sensed evapotranspiration and NDWI using ground measurements at Riverlands, South Africa; Water Research Commission; Water S.a.; 40; 2; 2-2014; 211-220
0378-4738
1816-7950
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.ajol.info/index.php/wsa/article/view/101713
info:eu-repo/semantics/altIdentifier/doi/10.4314/wsa.v40i2.3
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Water Research Commission
publisher.none.fl_str_mv Water Research Commission
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1842268738206826496
score 13.13397

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