Deriving High Spatial-Resolution Coastal Topography From Sub-meter Satellite Stereo Imagery
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...
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MDPI AG
2019-03-01
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| Series: | Remote Sensing |
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| Online Access: | http://www.mdpi.com/2072-4292/11/5/590 |
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| author | Luís Pedro Almeida Rafael Almar Erwin W. J. Bergsma Etienne Berthier Paulo Baptista Erwan Garel Olusegun A. Dada Bruna Alves |
| author_facet | Luís Pedro Almeida Rafael Almar Erwin W. J. Bergsma Etienne Berthier Paulo Baptista Erwan Garel Olusegun A. Dada Bruna Alves |
| author_sort | Luís Pedro Almeida |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T16:22:40Z |
| format | Article |
| id | doaj.art-e036b67a4ca449738a28713e3ac0f7b1 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-04-11T16:22:40Z |
| publishDate | 2019-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-e036b67a4ca449738a28713e3ac0f7b12022-12-22T04:14:17ZengMDPI AGRemote Sensing2072-42922019-03-0111559010.3390/rs11050590rs11050590Deriving High Spatial-Resolution Coastal Topography From Sub-meter Satellite Stereo ImageryLuís Pedro Almeida0Rafael Almar1Erwin W. J. Bergsma2Etienne Berthier3Paulo Baptista4Erwan Garel5Olusegun A. Dada6Bruna Alves7Instituto de Oceanografia, Universidade Federal do Rio Grande (IO-FURG), 96203-000 Rio Grande, BrazilInstitut de recherche pour le développement (IRD-LEGOS), 31400 Toulouse, FranceCentre National d’Études Spatiales (CNES-LEGOS), 31400, Toulouse, FranceCentre National de la Recherche Scientifique (CNRS-LEGOS), 31400 Toulouse, FranceDepartamento de Geociências, Centro de Estudos do Ambiente e do Mar (CESAM), Universidade de Aveiro, Campus de Santiago, 3810-193 Aveiro, PortugalCentre for Marine and Environmental Research (CIMA), University of Algarve, 8005-139 Faro, PortugalDepartment of Marine Science and Technology, Federal University of Technology, 340252 Akure, NigeriaInstitut de recherche pour le développement (IRD-LEGOS), 31400 Toulouse, FranceHigh 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.http://www.mdpi.com/2072-4292/11/5/590PleiadesphotogrammetryLiDARRTK-GPSbeach topography |
| spellingShingle | Luís Pedro Almeida Rafael Almar Erwin W. J. Bergsma Etienne Berthier Paulo Baptista Erwan Garel Olusegun A. Dada Bruna Alves Deriving High Spatial-Resolution Coastal Topography From Sub-meter Satellite Stereo Imagery Remote Sensing Pleiades photogrammetry LiDAR RTK-GPS beach topography |
| title | Deriving High Spatial-Resolution Coastal Topography From Sub-meter Satellite Stereo Imagery |
| title_full | Deriving High Spatial-Resolution Coastal Topography From Sub-meter Satellite Stereo Imagery |
| title_fullStr | Deriving High Spatial-Resolution Coastal Topography From Sub-meter Satellite Stereo Imagery |
| title_full_unstemmed | Deriving High Spatial-Resolution Coastal Topography From Sub-meter Satellite Stereo Imagery |
| title_short | Deriving High Spatial-Resolution Coastal Topography From Sub-meter Satellite Stereo Imagery |
| title_sort | deriving high spatial resolution coastal topography from sub meter satellite stereo imagery |
| topic | Pleiades photogrammetry LiDAR RTK-GPS beach topography |
| url | http://www.mdpi.com/2072-4292/11/5/590 |
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