Repository logo
 
Publication

Deriving high spatial-resolution coastal topography from sub-meter satellite stereo imagery

dc.contributor.authorAlmeida, Luís Pedro
dc.contributor.authorAlmar, Rafael
dc.contributor.authorBergsma, Erwin
dc.contributor.authorBerthier, Etienne
dc.contributor.authorBaptista, Paulo
dc.contributor.authorGarel, Erwan
dc.contributor.authorDada, Olusegun
dc.contributor.authorAlves, Bruna
dc.date.accessioned2019-04-11T17:25:11Z
dc.date.available2019-04-11T17:25:11Z
dc.date.issued2019
dc.description.abstractHigh 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.sponsorshipFrench Space Agency (CNES) CNES through the TOSCA program FEDER, within the PT2020 Partnership Agreement FEDER, within the Compete 2020pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3390/rs11050590pt_PT
dc.identifier.issn2072-4292
dc.identifier.urihttp://hdl.handle.net/10400.1/12470
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationHydrodynamics during high river inflows in narrow estuaries: a proxy for extreme flood events at larger systems
dc.relationCentre for Environmental and Marine Studies
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectPleiadespt_PT
dc.subjectPhotogrammetrypt_PT
dc.subjectLiDARpt_PT
dc.subjectRTK-GPSpt_PT
dc.subjectBeach topographypt_PT
dc.titleDeriving high spatial-resolution coastal topography from sub-meter satellite stereo imagerypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleHydrodynamics during high river inflows in narrow estuaries: a proxy for extreme flood events at larger systems
oaire.awardTitleCentre for Environmental and Marine Studies
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/Investigador FCT/IF%2F00661%2F2014%2FCP1234%2FCT0001/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/IF%2F00661%2F2014%2FCP1234%2FCT0001/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FAMB%2F50017%2F2019/PT
oaire.citation.issue5pt_PT
oaire.citation.startPage590pt_PT
oaire.citation.titleRemote Sensingpt_PT
oaire.citation.volume11pt_PT
oaire.fundingStreamInvestigador FCT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameGarel
person.givenNameErwan
person.identifier.ciencia-id5D13-7EA7-6C6D
person.identifier.orcid0000-0002-4584-9759
person.identifier.ridN-9811-2014
person.identifier.scopus-author-id23491739700
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication7e619cba-3bfb-4964-bdf3-b8afd91a4a29
relation.isAuthorOfPublication.latestForDiscovery7e619cba-3bfb-4964-bdf3-b8afd91a4a29
relation.isProjectOfPublication33609b30-13bc-4a86-aed9-32d79d7b7e9a
relation.isProjectOfPublication67988c0e-af46-42cb-a3f5-f75d7e623c4a
relation.isProjectOfPublication82ab0bfc-c005-422d-a24e-46bd449f0d83
relation.isProjectOfPublication.latestForDiscovery67988c0e-af46-42cb-a3f5-f75d7e623c4a

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
remotesensing-11-00590.pdf
Size:
3.83 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
3.46 KB
Format:
Item-specific license agreed upon to submission
Description: