Publicação
Regression models for soil water storage estimation using the ESA CCI satellite soil moisture product: a case study in Northeast Portugal
| Resumo: | The European Space Agency Climate Change Initiative Soil Moisture (ESA CCI SM) product provides soil moisture estimates from radar satellite data with a daily temporal resolution. Despite validation exercises with ground data that have been performed since the product’s launch, SM has not yet been consistently related to soil water storage, which is a key step for its application for prediction purposes. This study aimed to analyse the relationship between soil water storage (S), which was obtained from soil water balance computations with ground meteorological data, and soil moisture, which was obtained from radar data, as affected by soil water storage capacity (Smax). As a case study, a 14-year monthly series of soil water storage, produced via soil water balance computations using ground meteorological data from northeast Portugal and Smax from 25 mm to 150 mm, were matched with the corresponding monthly averaged SM product. Linear (I) and logistic (II) regression models relating S with SM were compared. Model performance (r2 in the 0.8–0.9 range) varied non-monotonically with Smax, with it being the highest at an Smax of 50 mm. The logistic model (II) performed better than the linear model (I) in the lower range of Smax. Improvements in model performance obtained with segregation of the data series in two subsets, representing soil water recharge and depletion phases throughout the year, outlined the hysteresis in the relationship between S and SM. |
|---|---|
| Autores principais: | Figueiredo, Tomás de |
| Outros Autores: | Royer, Ana Caroline; Fonseca, Felícia; Schütz, Fabiana Costa Araújo; Hernández, Zulimar |
| Assunto: | Remote sensing Radar satellite data Active and passive microwave sensors ESA CCI SM product Soil water balance Soil water storage Regression models Hysteresis |
| Ano: | 2021 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Instituto Politécnico de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital do IPB |
| _version_ | 1867172951301816320 |
|---|---|
| author | Figueiredo, Tomás de |
| author2 | Royer, Ana Caroline Fonseca, Felícia Schütz, Fabiana Costa Araújo Hernández, Zulimar |
| author2_role | author author author author |
| author_facet | Figueiredo, Tomás de Royer, Ana Caroline Fonseca, Felícia Schütz, Fabiana Costa Araújo Hernández, Zulimar |
| author_role | author |
| contributor_name_str_mv | Biblioteca Digital do IPB |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Figueiredo, Tomás de\",\"Person.identifier.orcid\":\"0000-0001-7690-8996\"},{\"Person.name\":\"Royer, Ana Caroline\",\"Person.identifier.orcid\":\"0000-0002-0746-185X\"},{\"Person.name\":\"Fonseca, Felícia\",\"Person.identifier.orcid\":\"0000-0001-7727-071X\"},{\"Person.name\":\"Schütz, Fabiana Costa Araújo\"},{\"Person.name\":\"Hernández, Zulimar\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Biblioteca Digital do IPB |
| datacite.creators.creator.creatorName.fl_str_mv | Figueiredo, Tomás de Royer, Ana Caroline Fonseca, Felícia Schütz, Fabiana Costa Araújo Hernández, Zulimar |
| datacite.date.Accepted.fl_str_mv | 2021-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2021-09-16T10:28:51Z |
| datacite.date.embargoed.fl_str_mv | 2021-09-16T10:28:51Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Remote sensing Radar satellite data Active and passive microwave sensors ESA CCI SM product Soil water balance Soil water storage Regression models Hysteresis |
| datacite.titles.title.fl_str_mv | Regression models for soil water storage estimation using the ESA CCI satellite soil moisture product: a case study in Northeast Portugal |
| dc.contributor.none.fl_str_mv | Biblioteca Digital do IPB |
| dc.creator.none.fl_str_mv | Figueiredo, Tomás de Royer, Ana Caroline Fonseca, Felícia Schütz, Fabiana Costa Araújo Hernández, Zulimar |
| dc.date.Accepted.fl_str_mv | 2021-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2021-09-16T10:28:51Z |
| dc.date.embargoed.fl_str_mv | 2021-09-16T10:28:51Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10198/23915 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.cclincense.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Remote sensing Radar satellite data Active and passive microwave sensors ESA CCI SM product Soil water balance Soil water storage Regression models Hysteresis |
| dc.title.fl_str_mv | Regression models for soil water storage estimation using the ESA CCI satellite soil moisture product: a case study in Northeast Portugal |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| description | The European Space Agency Climate Change Initiative Soil Moisture (ESA CCI SM) product provides soil moisture estimates from radar satellite data with a daily temporal resolution. Despite validation exercises with ground data that have been performed since the product’s launch, SM has not yet been consistently related to soil water storage, which is a key step for its application for prediction purposes. This study aimed to analyse the relationship between soil water storage (S), which was obtained from soil water balance computations with ground meteorological data, and soil moisture, which was obtained from radar data, as affected by soil water storage capacity (Smax). As a case study, a 14-year monthly series of soil water storage, produced via soil water balance computations using ground meteorological data from northeast Portugal and Smax from 25 mm to 150 mm, were matched with the corresponding monthly averaged SM product. Linear (I) and logistic (II) regression models relating S with SM were compared. Model performance (r2 in the 0.8–0.9 range) varied non-monotonically with Smax, with it being the highest at an Smax of 50 mm. The logistic model (II) performed better than the linear model (I) in the lower range of Smax. Improvements in model performance obtained with segregation of the data series in two subsets, representing soil water recharge and depletion phases throughout the year, outlined the hysteresis in the relationship between S and SM. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | article |
| fulltext.url.fl_str_mv | https://bibliotecadigital.ipb.pt/bitstreams/a05e04a9-e27f-4ead-ab63-9b04ecbb9e5e/download |
| id | ipb_4cb150fed2dd479fab9cfb787dae39d9 |
| identifier.url.fl_str_mv | http://hdl.handle.net/10198/23915 |
| instacron_str | ipb |
| institution | Instituto Politécnico de Bragança |
| instname_str | Instituto Politécnico de Bragança |
| language | eng |
| network_acronym_str | ipb |
| network_name_str | Biblioteca Digital do IPB |
| oai_identifier_str | oai:bibliotecadigital.ipb.pt:10198/23915 |
| organization_str_mv | urn:organizationAcronym:ipb |
| person_str_mv | Figueiredo, Tomás de Figueiredo, Tomás de https://www.ciencia-id.pt/961D-607D-51CC 961D-607D-51CC http://orcid.org/0000-0001-7690-8996 0000-0001-7690-8996 Royer, Ana Caroline Royer, Ana Caroline https://www.ciencia-id.pt/721A-9374-4C35 721A-9374-4C35 http://orcid.org/0000-0002-0746-185X 0000-0002-0746-185X Fonseca, Felícia Fonseca, Felícia http://orcid.org/0000-0001-7727-071X 0000-0001-7727-071X Schütz, Fabiana Costa Araújo Hernández, Zulimar |
| publishDate | 2021 |
| reponame_str | Biblioteca Digital do IPB |
| repository_id_str | urn:repositoryAcronym:ipb |
| service_str_mv | urn:repositoryAcronym:ipb |
| spelling | engpt_PTThe European Space Agency Climate Change Initiative Soil Moisture (ESA CCI SM) product provides soil moisture estimates from radar satellite data with a daily temporal resolution. Despite validation exercises with ground data that have been performed since the product’s launch, SM has not yet been consistently related to soil water storage, which is a key step for its application for prediction purposes. This study aimed to analyse the relationship between soil water storage (S), which was obtained from soil water balance computations with ground meteorological data, and soil moisture, which was obtained from radar data, as affected by soil water storage capacity (Smax). As a case study, a 14-year monthly series of soil water storage, produced via soil water balance computations using ground meteorological data from northeast Portugal and Smax from 25 mm to 150 mm, were matched with the corresponding monthly averaged SM product. Linear (I) and logistic (II) regression models relating S with SM were compared. Model performance (r2 in the 0.8–0.9 range) varied non-monotonically with Smax, with it being the highest at an Smax of 50 mm. The logistic model (II) performed better than the linear model (I) in the lower range of Smax. Improvements in model performance obtained with segregation of the data series in two subsets, representing soil water recharge and depletion phases throughout the year, outlined the hysteresis in the relationship between S and SM.application/pdfpt_PTRegression models for soil water storage estimation using the ESA CCI satellite soil moisture product: a case study in Northeast PortugalPersonalFigueiredo, Tomás deDSpacehttp://dspace.org/items/db897e48-ecf7-4ce1-ba27-369260337510DSpacehttp://dspace.org/items/db897e48-ecf7-4ce1-ba27-369260337510FigueiredoTomás d'AquinoCiência IDhttps://www.ciencia-id.pt961D-607D-51CCORCIDhttp://orcid.org0000-0001-7690-8996Scopus Author IDhttps://www.scopus.com54790554500PersonalRoyer, Ana CarolineDSpacehttp://dspace.org/items/c0fb97bf-0c68-4bf9-8994-ce6dcdb6d86fDSpacehttp://dspace.org/items/c0fb97bf-0c68-4bf9-8994-ce6dcdb6d86fRoyerAna CarolineCiência IDhttps://www.ciencia-id.pt721A-9374-4C35ORCIDhttp://orcid.org0000-0002-0746-185XPersonalFonseca, FelíciaDSpacehttp://dspace.org/items/4f6f8be1-73c1-45bb-b159-ce3f8ff96c84DSpacehttp://dspace.org/items/4f6f8be1-73c1-45bb-b159-ce3f8ff96c84FonsecaFelíciaORCIDhttp://orcid.org0000-0001-7727-071XScopus Author IDhttps://www.scopus.com36970960500Schütz, Fabiana Costa AraújoHernández, ZulimarHostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.ptISSNIsPartOf2073-4441DOIIsPartOf10.3390/w130100372021-09-16T10:28:51Z20212021-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/23915http://purl.org/coar/access_right/c_abf2open accessRemote sensingRadar satellite dataActive and passive microwave sensorsESA CCI SM productSoil water balanceSoil water storageRegression modelsHysteresis3126638 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal article2021http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/a05e04a9-e27f-4ead-ab63-9b04ecbb9e5e/downloadWater13137 |
| spellingShingle | Regression models for soil water storage estimation using the ESA CCI satellite soil moisture product: a case study in Northeast Portugal Figueiredo, Tomás de Remote sensing Radar satellite data Active and passive microwave sensors ESA CCI SM product Soil water balance Soil water storage Regression models Hysteresis |
| status | SINGLETON |
| subject.fl_str_mv | Remote sensing Radar satellite data Active and passive microwave sensors ESA CCI SM product Soil water balance Soil water storage Regression models Hysteresis |
| title | Regression models for soil water storage estimation using the ESA CCI satellite soil moisture product: a case study in Northeast Portugal |
| title_full | Regression models for soil water storage estimation using the ESA CCI satellite soil moisture product: a case study in Northeast Portugal |
| title_fullStr | Regression models for soil water storage estimation using the ESA CCI satellite soil moisture product: a case study in Northeast Portugal |
| title_full_unstemmed | Regression models for soil water storage estimation using the ESA CCI satellite soil moisture product: a case study in Northeast Portugal |
| title_short | Regression models for soil water storage estimation using the ESA CCI satellite soil moisture product: a case study in Northeast Portugal |
| title_sort | Regression models for soil water storage estimation using the ESA CCI satellite soil moisture product: a case study in Northeast Portugal |
| topic | Remote sensing Radar satellite data Active and passive microwave sensors ESA CCI SM product Soil water balance Soil water storage Regression models Hysteresis |
| topic_facet | Remote sensing Radar satellite data Active and passive microwave sensors ESA CCI SM product Soil water balance Soil water storage Regression models Hysteresis |
| url | http://hdl.handle.net/10198/23915 |
| visible | 1 |