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dc.contributor.authorGonzález Jorge, Higinio 
dc.contributor.authorGonzález De Santos, Luis Miguel 
dc.contributor.authorMartínez Sánchez, Joaquín 
dc.contributor.authorSánchez Rodríguez, Ana 
dc.contributor.authorLorenzo Cimadevila, Henrique Remixio 
dc.date.accessioned2020-11-10T08:43:07Z
dc.date.available2020-11-10T08:43:07Z
dc.date.issued2018-06-08
dc.identifier.citationRemote Sensing, 10(6): 902 (2018)spa
dc.identifier.issn20724292
dc.identifier.urihttp://hdl.handle.net/11093/1629
dc.description.abstractA methodology for the measurement of height in water reservoirs is developed. It is based on Sentinel 2 imagery and aerial LiDAR data. The methodology is automatized using Matlab software and focused on image processing techniques (equalization, binarization, and edge detection) combined with LiDAR data processing (near neighbour search and height averaging). It is applied in a region of interest selected by the user characterized by a water–land interface. Results are validated in the As Conchas water reservoir (Spain) using an in situ sensing system provided by the Hydrographic Miño-Sil Confederation. The duration of the experiment was one year. The Sentinel 2 bands B2, B3, B4, and B8 were tested during this study. The best results for water height evaluation were obtained for band B8 (842 nm) with an error of 0.20 m and a standard deviation of 0.17 m. The time resolution of the technique depends on the Sentinel 2 revisit time. The time resolution and height accuracy could be improved using complementary satellite systemsspa
dc.description.sponsorshipXunta de Galicia | Ref. ED431C2016‐038spa
dc.description.sponsorshipMinisterio de Interior | Ref. SPIP2017-02122spa
dc.description.sponsorshipMinisterio de Economía, Industria y Competitividad | Ref. EUIN2017-87598spa
dc.description.sponsorshipMinisterio de Economía, Industria y Competitividad | Ref. TIN2016-77158-C4-2-Rspa
dc.description.sponsorshipMinisterio de Economía, Industria y Competitividad | Ref. RTC-2016-5257-7spa
dc.language.isoengspa
dc.publisherRemote Sensingspa
dc.relationinfo:eu-repo/grantAgreement/MINECO//EUIN2017-87598/ES/PREPARACIÓN Y REDACCIÓN DE UNA PROPUESTA PARA MEJORAR LA RESILENCIA DE LAS REDES DE INFRAESTRUCTURAS TERRESTRES DEL TRANSPORTE A EVENTOS EXTREMOS
dc.relationinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2016-77158-C4-2-R/ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/RTC-2016-5257-7/ES
dc.titleAutomatic measurement of water height in the As Conchas (Spain) reservoir using sentinel 2 and aerial LiDAR dataen
dc.typearticlespa
dc.rights.accessRightsopenAccessspa
dc.identifier.doi10.3390/rs10060902
dc.identifier.editorhttp://www.mdpi.com/2072-4292/10/6/902spa
dc.publisher.departamentoEnxeñaría dos recursos naturais e medio ambientespa
dc.publisher.departamentoEnxeñaría dos materiais, mecánica aplicada e construciónspa
dc.publisher.grupoinvestigacionXeotecnoloxías Aplicadasspa
dc.subject.unesco2502.9 Cambio climáticospa
dc.subject.unesco3311.02 Ingeniería de Controlspa
dc.date.updated2020-11-10T08:20:41Z
dc.computerCitationpub_title=Remote Sensing|volume=10|journal_number=6|start_pag=902|end_pag=spa


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