The value of satellite remote sensing soil moisture data and the DISPATCH algorithm in irrigation fields

Soil moisture measurements are needed in a large number of applications such as hydro-climate approaches, watershed water balance management and irrigation scheduling. Nowadays, different kinds of methodologies exist for measuring soil moisture. Direct methods based on gravimetric sampling or time d...

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Autores: Fontanet Ambrós, Mireia, Fernández García, Daniel|||0000-0002-4667-3003, Ferrer, F.
Formato: artículo
Fecha de publicación:2018
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/127482
Acesso em linha:https://hdl.handle.net/2117/127482
https://dx.doi.org/10.5194/hess-22-5889-2018
Access Level:acceso abierto
Palavra-chave:Soil moisture--Measurement--Remote sensing
Sòls -- Humitat -- Mesurament
Àrees temàtiques de la UPC::Enginyeria civil::Geologia::Hidrologia
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oai_identifier_str oai:upcommons.upc.edu:2117/127482
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repository_id_str
spelling The value of satellite remote sensing soil moisture data and the DISPATCH algorithm in irrigation fieldsFontanet Ambrós, MireiaFernández García, Daniel|||0000-0002-4667-3003Ferrer, F.Soil moisture--Measurement--Remote sensingSòls -- Humitat -- MesuramentÀrees temàtiques de la UPC::Enginyeria civil::Geologia::HidrologiaSoil moisture measurements are needed in a large number of applications such as hydro-climate approaches, watershed water balance management and irrigation scheduling. Nowadays, different kinds of methodologies exist for measuring soil moisture. Direct methods based on gravimetric sampling or time domain reflectometry (TDR) techniques measure soil moisture in a small volume of soil at few particular locations. This typically gives a poor description of the spatial distribution of soil moisture in relatively large agriculture fields. Remote sensing of soil moisture provides widespread coverage and can overcome this problem but suffers from other problems stemming from its low spatial resolution. In this context, the DISaggregation based on Physical And Theoretical scale CHange (DISPATCH) algorithm has been proposed in the literature to downscale soil moisture satellite data from 40 to 1¿km resolution by combining the low-resolution Soil Moisture Ocean Salinity (SMOS) satellite soil moisture data with the high-resolution Normalized Difference Vegetation Index (NDVI) and land surface temperature (LST) datasets obtained from a Moderate Resolution Imaging Spectroradiometer (MODIS) sensor. In this work, DISPATCH estimations are compared with soil moisture sensors and gravimetric measurements to validate the DISPATCH algorithm in an agricultural field during two different hydrologic scenarios: wet conditions driven by rainfall events and wet conditions driven by local sprinkler irrigation. Results show that the DISPATCH algorithm provides appropriate soil moisture estimates during general rainfall events but not when sprinkler irrigation generates occasional heterogeneity. In order to explain these differences, we have examined the spatial variability scales of NDVI and LST data, which are the input variables involved in the downscaling process. Sample variograms show that the spatial scales associated with the NDVI and LST properties are too large to represent the variations of the average soil moisture at the site, and this could be a reason why the DISPATCH algorithm does not work properly in this field site.Peer Reviewed20182018-11-0120192019-01-23journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/127482https://dx.doi.org/10.5194/hess-22-5889-2018reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)InglésengEuropean Commission http://doi.org/10.13039/100010661 Horizon 2020 Framework Programme 645642 Root zone soil moisture Estimates at the daily and agricultural parcel scales for Crop irrigation management and water use impact – a multi-sensor remote sensing approachopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 3.0 Spainhttp://creativecommons.org/licenses/by/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/1274822026-05-27T15:37:01Z
dc.title.none.fl_str_mv The value of satellite remote sensing soil moisture data and the DISPATCH algorithm in irrigation fields
title The value of satellite remote sensing soil moisture data and the DISPATCH algorithm in irrigation fields
spellingShingle The value of satellite remote sensing soil moisture data and the DISPATCH algorithm in irrigation fields
Fontanet Ambrós, Mireia
Soil moisture--Measurement--Remote sensing
Sòls -- Humitat -- Mesurament
Àrees temàtiques de la UPC::Enginyeria civil::Geologia::Hidrologia
title_short The value of satellite remote sensing soil moisture data and the DISPATCH algorithm in irrigation fields
title_full The value of satellite remote sensing soil moisture data and the DISPATCH algorithm in irrigation fields
title_fullStr The value of satellite remote sensing soil moisture data and the DISPATCH algorithm in irrigation fields
title_full_unstemmed The value of satellite remote sensing soil moisture data and the DISPATCH algorithm in irrigation fields
title_sort The value of satellite remote sensing soil moisture data and the DISPATCH algorithm in irrigation fields
dc.creator.none.fl_str_mv Fontanet Ambrós, Mireia
Fernández García, Daniel|||0000-0002-4667-3003
Ferrer, F.
author Fontanet Ambrós, Mireia
author_facet Fontanet Ambrós, Mireia
Fernández García, Daniel|||0000-0002-4667-3003
Ferrer, F.
author_role author
author2 Fernández García, Daniel|||0000-0002-4667-3003
Ferrer, F.
author2_role author
author
dc.subject.none.fl_str_mv Soil moisture--Measurement--Remote sensing
Sòls -- Humitat -- Mesurament
Àrees temàtiques de la UPC::Enginyeria civil::Geologia::Hidrologia
topic Soil moisture--Measurement--Remote sensing
Sòls -- Humitat -- Mesurament
Àrees temàtiques de la UPC::Enginyeria civil::Geologia::Hidrologia
description Soil moisture measurements are needed in a large number of applications such as hydro-climate approaches, watershed water balance management and irrigation scheduling. Nowadays, different kinds of methodologies exist for measuring soil moisture. Direct methods based on gravimetric sampling or time domain reflectometry (TDR) techniques measure soil moisture in a small volume of soil at few particular locations. This typically gives a poor description of the spatial distribution of soil moisture in relatively large agriculture fields. Remote sensing of soil moisture provides widespread coverage and can overcome this problem but suffers from other problems stemming from its low spatial resolution. In this context, the DISaggregation based on Physical And Theoretical scale CHange (DISPATCH) algorithm has been proposed in the literature to downscale soil moisture satellite data from 40 to 1¿km resolution by combining the low-resolution Soil Moisture Ocean Salinity (SMOS) satellite soil moisture data with the high-resolution Normalized Difference Vegetation Index (NDVI) and land surface temperature (LST) datasets obtained from a Moderate Resolution Imaging Spectroradiometer (MODIS) sensor. In this work, DISPATCH estimations are compared with soil moisture sensors and gravimetric measurements to validate the DISPATCH algorithm in an agricultural field during two different hydrologic scenarios: wet conditions driven by rainfall events and wet conditions driven by local sprinkler irrigation. Results show that the DISPATCH algorithm provides appropriate soil moisture estimates during general rainfall events but not when sprinkler irrigation generates occasional heterogeneity. In order to explain these differences, we have examined the spatial variability scales of NDVI and LST data, which are the input variables involved in the downscaling process. Sample variograms show that the spatial scales associated with the NDVI and LST properties are too large to represent the variations of the average soil moisture at the site, and this could be a reason why the DISPATCH algorithm does not work properly in this field site.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-11-01
2019
2019-01-23
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/127482
https://dx.doi.org/10.5194/hess-22-5889-2018
url https://hdl.handle.net/2117/127482
https://dx.doi.org/10.5194/hess-22-5889-2018
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv European Commission http://doi.org/10.13039/100010661 Horizon 2020 Framework Programme 645642 Root zone soil moisture Estimates at the daily and agricultural parcel scales for Crop irrigation management and water use impact – a multi-sensor remote sensing approach
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 3.0 Spain
http://creativecommons.org/licenses/by/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 3.0 Spain
http://creativecommons.org/licenses/by/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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