Publication
Deriving high spatial-resolution coastal topography from sub-meter satellite stereo imagery
dc.contributor.author | Almeida, Luís Pedro | |
dc.contributor.author | Almar, Rafael | |
dc.contributor.author | Bergsma, Erwin | |
dc.contributor.author | Berthier, Etienne | |
dc.contributor.author | Baptista, Paulo | |
dc.contributor.author | Garel, Erwan | |
dc.contributor.author | Dada, Olusegun | |
dc.contributor.author | Alves, Bruna | |
dc.date.accessioned | 2019-04-11T17:25:11Z | |
dc.date.available | 2019-04-11T17:25:11Z | |
dc.date.issued | 2019 | |
dc.description.abstract | High spatial resolution coastal Digital Elevation Models (DEMs) are crucial to assess coastal vulnerability and hazards such as beach erosion, sedimentation, or inundation due to storm surges and sea level rise. This paper explores the possibility to use high spatial-resolution Pleiades (pixel size = 0.7 m) stereoscopic satellite imagery to retrieve a DEM on sandy coastline. A 40-km coastal stretch in the Southwest of France was selected as a pilot-site to compare topographic measurements obtained from Pleiades satellite imagery, Real Time Kinematic GPS (RTK-GPS) and airborne Light Detection and Ranging System (LiDAR). The derived 2-m Pleiades DEM shows an overall good agreement with concurrent methods (RTK-GPS and LiDAR; correlation coefficient of 0.9), with a vertical Root Mean Squared Error (RMS error) that ranges from 0.35 to 0.48 m, after absolute coregistration to the LiDAR dataset. The largest errors (RMS error > 0.5 m) occurred in the steep dune faces, particularly at shadowed areas. This work shows that DEMs derived from sub-meter satellite imagery capture local morphological features (e.g., berm or dune shape) on a sandy beach, over a large spatial domain. | pt_PT |
dc.description.sponsorship | French Space Agency (CNES) CNES through the TOSCA program FEDER, within the PT2020 Partnership Agreement FEDER, within the Compete 2020 | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.doi | 10.3390/rs11050590 | pt_PT |
dc.identifier.issn | 2072-4292 | |
dc.identifier.uri | http://hdl.handle.net/10400.1/12470 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.publisher | MDPI | pt_PT |
dc.relation | Hydrodynamics during high river inflows in narrow estuaries: a proxy for extreme flood events at larger systems | |
dc.relation | Centre for Environmental and Marine Studies | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
dc.subject | Pleiades | pt_PT |
dc.subject | Photogrammetry | pt_PT |
dc.subject | LiDAR | pt_PT |
dc.subject | RTK-GPS | pt_PT |
dc.subject | Beach topography | pt_PT |
dc.title | Deriving high spatial-resolution coastal topography from sub-meter satellite stereo imagery | pt_PT |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.awardTitle | Hydrodynamics during high river inflows in narrow estuaries: a proxy for extreme flood events at larger systems | |
oaire.awardTitle | Centre for Environmental and Marine Studies | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/Investigador FCT/IF%2F00661%2F2014%2FCP1234%2FCT0001/PT | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/IF%2F00661%2F2014%2FCP1234%2FCT0001/PT | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FAMB%2F50017%2F2019/PT | |
oaire.citation.issue | 5 | pt_PT |
oaire.citation.startPage | 590 | pt_PT |
oaire.citation.title | Remote Sensing | pt_PT |
oaire.citation.volume | 11 | pt_PT |
oaire.fundingStream | Investigador FCT | |
oaire.fundingStream | 6817 - DCRRNI ID | |
oaire.fundingStream | 6817 - DCRRNI ID | |
person.familyName | Garel | |
person.givenName | Erwan | |
person.identifier.ciencia-id | 5D13-7EA7-6C6D | |
person.identifier.orcid | 0000-0002-4584-9759 | |
person.identifier.rid | N-9811-2014 | |
person.identifier.scopus-author-id | 23491739700 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | article | pt_PT |
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