Validation and downscaling of Advanced Scatterometer (ASCAT) soil moisture using ground measurements in the Western Cape, South Africa

Autores
Moller, Jason; Jovanovic, Nebo; García, César Luis; Bugan, Richard D. H.; Mazvimavi, Dominic
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Satellite-based remote sensing of soil water content (SWC) is a promising technology for hydrological applications to overcome large spatiotemporal variabilities of SWC. This study investigated the performance of the Advanced Scatterometer (ASCAT) soil moisture product on METOP satellite (~12.5 km and downscaled to ~1 km resolution), against ground measurements of SWC taken with a Hydrosense II probe along transects of 360?820 m on agricultural and natural land at locations in the Western Cape. The ASCAT products estimated fairly accurately seasonal trends of SWC; performance was better on lower slopes (R 2 = 0.66) and uniform vegetation. ASCAT 12.5 km performed better in estimating SWC than the downscaled product (average concordance coefficient = 0.60 and 0.39, and R 2 = 0.84 and 0.74, respectively). ASCAT 12.5 km was more responsive to rainfall events, whilst the downscaled product was more sensitive to vegetation characteristics (normalised difference vegetation index and land surface temperature). In situations with ground measurement networks and data availability constraints, remote sensing could be a feasible alternative to monitor SWC for hydrological applications at the meso-scale (regional scale).
Fil: Moller, Jason. University of the Western Cape; Sudáfrica
Fil: Jovanovic, Nebo. CSIR Natural Resources and the Environment; Sudáfrica. University of the Western Cape; Sudáfrica
Fil: García, César Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Católica de Córdoba; Argentina
Fil: Bugan, Richard D. H.. CSIR Natural Resources and the Environment; Sudáfrica
Fil: Mazvimavi, Dominic. University of the Western Cape; Sudáfrica
Materia
Malmesbury
Ndvi
Remote Sensing
Riebeek
Surface Temperature
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:11336/41125
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/41125
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Validation and downscaling of Advanced Scatterometer (ASCAT) soil moisture using ground measurements in the Western Cape, South AfricaMoller, JasonJovanovic, NeboGarcía, César LuisBugan, Richard D. H.Mazvimavi, DominicMalmesburyNdviRemote SensingRiebeekSurface Temperaturehttps://purl.org/becyt/ford/2.7https://purl.org/becyt/ford/2https://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Satellite-based remote sensing of soil water content (SWC) is a promising technology for hydrological applications to overcome large spatiotemporal variabilities of SWC. This study investigated the performance of the Advanced Scatterometer (ASCAT) soil moisture product on METOP satellite (~12.5 km and downscaled to ~1 km resolution), against ground measurements of SWC taken with a Hydrosense II probe along transects of 360?820 m on agricultural and natural land at locations in the Western Cape. The ASCAT products estimated fairly accurately seasonal trends of SWC; performance was better on lower slopes (R 2 = 0.66) and uniform vegetation. ASCAT 12.5 km performed better in estimating SWC than the downscaled product (average concordance coefficient = 0.60 and 0.39, and R 2 = 0.84 and 0.74, respectively). ASCAT 12.5 km was more responsive to rainfall events, whilst the downscaled product was more sensitive to vegetation characteristics (normalised difference vegetation index and land surface temperature). In situations with ground measurement networks and data availability constraints, remote sensing could be a feasible alternative to monitor SWC for hydrological applications at the meso-scale (regional scale).Fil: Moller, Jason. University of the Western Cape; SudáfricaFil: Jovanovic, Nebo. CSIR Natural Resources and the Environment; Sudáfrica. University of the Western Cape; SudáfricaFil: García, César Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Católica de Córdoba; ArgentinaFil: Bugan, Richard D. H.. CSIR Natural Resources and the Environment; SudáfricaFil: Mazvimavi, Dominic. University of the Western Cape; SudáfricaTaylor & Francis2017-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/41125Moller, Jason; Jovanovic, Nebo; García, César Luis; Bugan, Richard D. H. ; Mazvimavi, Dominic; Validation and downscaling of Advanced Scatterometer (ASCAT) soil moisture using ground measurements in the Western Cape, South Africa; Taylor & Francis; South African Journal of Plant and Soil; 35; 1; 9-2017; 9-220257-1862CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1080/02571862.2017.1318962info:eu-repo/semantics/altIdentifier/url/https://www.tandfonline.com/doi/abs/10.1080/02571862.2017.1318962info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:51:39Zoai:ri.conicet.gov.ar:11336/41125instacron: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 09:51:40.122CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Validation and downscaling of Advanced Scatterometer (ASCAT) soil moisture using ground measurements in the Western Cape, South Africa
title Validation and downscaling of Advanced Scatterometer (ASCAT) soil moisture using ground measurements in the Western Cape, South Africa
spellingShingle Validation and downscaling of Advanced Scatterometer (ASCAT) soil moisture using ground measurements in the Western Cape, South Africa
Moller, Jason
Malmesbury
Ndvi
Remote Sensing
Riebeek
Surface Temperature
title_short Validation and downscaling of Advanced Scatterometer (ASCAT) soil moisture using ground measurements in the Western Cape, South Africa
title_full Validation and downscaling of Advanced Scatterometer (ASCAT) soil moisture using ground measurements in the Western Cape, South Africa
title_fullStr Validation and downscaling of Advanced Scatterometer (ASCAT) soil moisture using ground measurements in the Western Cape, South Africa
title_full_unstemmed Validation and downscaling of Advanced Scatterometer (ASCAT) soil moisture using ground measurements in the Western Cape, South Africa
title_sort Validation and downscaling of Advanced Scatterometer (ASCAT) soil moisture using ground measurements in the Western Cape, South Africa
dc.creator.none.fl_str_mv Moller, Jason
Jovanovic, Nebo
García, César Luis
Bugan, Richard D. H.
Mazvimavi, Dominic
author Moller, Jason
author_facet Moller, Jason
Jovanovic, Nebo
García, César Luis
Bugan, Richard D. H.
Mazvimavi, Dominic
author_role author
author2 Jovanovic, Nebo
García, César Luis
Bugan, Richard D. H.
Mazvimavi, Dominic
author2_role author
author
author
author
dc.subject.none.fl_str_mv Malmesbury
Ndvi
Remote Sensing
Riebeek
Surface Temperature
topic Malmesbury
Ndvi
Remote Sensing
Riebeek
Surface Temperature
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.7
https://purl.org/becyt/ford/2
https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Satellite-based remote sensing of soil water content (SWC) is a promising technology for hydrological applications to overcome large spatiotemporal variabilities of SWC. This study investigated the performance of the Advanced Scatterometer (ASCAT) soil moisture product on METOP satellite (~12.5 km and downscaled to ~1 km resolution), against ground measurements of SWC taken with a Hydrosense II probe along transects of 360?820 m on agricultural and natural land at locations in the Western Cape. The ASCAT products estimated fairly accurately seasonal trends of SWC; performance was better on lower slopes (R 2 = 0.66) and uniform vegetation. ASCAT 12.5 km performed better in estimating SWC than the downscaled product (average concordance coefficient = 0.60 and 0.39, and R 2 = 0.84 and 0.74, respectively). ASCAT 12.5 km was more responsive to rainfall events, whilst the downscaled product was more sensitive to vegetation characteristics (normalised difference vegetation index and land surface temperature). In situations with ground measurement networks and data availability constraints, remote sensing could be a feasible alternative to monitor SWC for hydrological applications at the meso-scale (regional scale).
Fil: Moller, Jason. University of the Western Cape; Sudáfrica
Fil: Jovanovic, Nebo. CSIR Natural Resources and the Environment; Sudáfrica. University of the Western Cape; Sudáfrica
Fil: García, César Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Católica de Córdoba; Argentina
Fil: Bugan, Richard D. H.. CSIR Natural Resources and the Environment; Sudáfrica
Fil: Mazvimavi, Dominic. University of the Western Cape; Sudáfrica
description Satellite-based remote sensing of soil water content (SWC) is a promising technology for hydrological applications to overcome large spatiotemporal variabilities of SWC. This study investigated the performance of the Advanced Scatterometer (ASCAT) soil moisture product on METOP satellite (~12.5 km and downscaled to ~1 km resolution), against ground measurements of SWC taken with a Hydrosense II probe along transects of 360?820 m on agricultural and natural land at locations in the Western Cape. The ASCAT products estimated fairly accurately seasonal trends of SWC; performance was better on lower slopes (R 2 = 0.66) and uniform vegetation. ASCAT 12.5 km performed better in estimating SWC than the downscaled product (average concordance coefficient = 0.60 and 0.39, and R 2 = 0.84 and 0.74, respectively). ASCAT 12.5 km was more responsive to rainfall events, whilst the downscaled product was more sensitive to vegetation characteristics (normalised difference vegetation index and land surface temperature). In situations with ground measurement networks and data availability constraints, remote sensing could be a feasible alternative to monitor SWC for hydrological applications at the meso-scale (regional scale).
publishDate 2017
dc.date.none.fl_str_mv 2017-09
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/11336/41125
Moller, Jason; Jovanovic, Nebo; García, César Luis; Bugan, Richard D. H. ; Mazvimavi, Dominic; Validation and downscaling of Advanced Scatterometer (ASCAT) soil moisture using ground measurements in the Western Cape, South Africa; Taylor & Francis; South African Journal of Plant and Soil; 35; 1; 9-2017; 9-22
0257-1862
CONICET Digital
CONICET
url http://hdl.handle.net/11336/41125
identifier_str_mv Moller, Jason; Jovanovic, Nebo; García, César Luis; Bugan, Richard D. H. ; Mazvimavi, Dominic; Validation and downscaling of Advanced Scatterometer (ASCAT) soil moisture using ground measurements in the Western Cape, South Africa; Taylor & Francis; South African Journal of Plant and Soil; 35; 1; 9-2017; 9-22
0257-1862
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1080/02571862.2017.1318962
info:eu-repo/semantics/altIdentifier/url/https://www.tandfonline.com/doi/abs/10.1080/02571862.2017.1318962
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
dc.publisher.none.fl_str_mv Taylor & Francis
publisher.none.fl_str_mv Taylor & Francis
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_ 1842269109263269888
score 13.13397

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