{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T17:25:51Z","timestamp":1790616351927,"version":"4.1.0"},"reference-count":31,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2022,1,4]],"date-time":"2022-01-04T00:00:00Z","timestamp":1641254400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The evolution of the coastal fringe is closely linked to the impact of climate change, specifically increases in sea level and storm intensity. The anthropic pressure that is inflicted on these fragile environments strengthens the risk. Therefore, numerous research projects look into the possibility of monitoring and understanding the coastal environment in order to better identify its dynamics and adaptation to the major changes that are currently taking place in the landscape. This new study aims to improve the habitat mapping\/classification at Very High Resolution (VHR) using Pleiades\u20131\u2013derived topography, its morphometric by\u2013products, and Pleiades\u20131\u2013derived imageries. A tri\u2013stereo dataset was acquired and processed by image pairing to obtain nine digital surface models (DSM) that were 0.50 m pixel size using the free software RSP (RPC Stereo Processor) and that were calibrated and validated with the 2018\u2013LiDAR dataset that was available for the study area: the Emerald Coast in Brittany (France). Four morphometric predictors that were derived from the best of the nine generated DSMs were calculated via a freely available software (SAGA GIS): slope, aspect, topographic position index (TPI), and TPI\u2013based landform classification (TPILC). A maximum likelihood classification of the area was calculated using nine classes: the salt marsh, dune, rock, urban, field, forest, beach, road, and seawater classes. With an RMSE of 4 m, the DSM#2\u20133_1 (from images #2 and #3 with one ground control point) outperformed the other DSMs. The classification results that were computed from the DSM#2\u20133_1 demonstrate the importance of the contribution of the morphometric predictors that were added to the reference Red\u2013Green\u2013Blue (RGB, 76.37% in overall accuracy, OA). The best combination of TPILC that was added to the RGB + DSM provided a gain of 13% in the OA, reaching 89.37%. These findings will help scientists and managers who are tasked with coastal risks at VHR.<\/jats:p>","DOI":"10.3390\/rs14010219","type":"journal-article","created":{"date-parts":[[2022,1,9]],"date-time":"2022-01-09T23:06:15Z","timestamp":1641769575000},"page":"219","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Satellite\u2013Derived Topography and Morphometry for VHR Coastal Habitat Mapping: The Pleiades\u20131 Tri\u2013Stereo Enhancement"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7477-3458","authenticated-orcid":false,"given":"Doroth\u00e9e","family":"James","sequence":"first","affiliation":[{"name":"Ecole Pratique des Hautes Etudes, Universit\u00e9 PSL, CNRS UMR 6554 LETG, 35800 Dinard, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9559-7572","authenticated-orcid":false,"given":"Antoine","family":"Collin","sequence":"additional","affiliation":[{"name":"Ecole Pratique des Hautes Etudes, Universit\u00e9 PSL, CNRS UMR 6554 LETG, 35800 Dinard, France"},{"name":"LabEx CORAIL, 66860 Perpignan, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Antoine","family":"Mury","sequence":"additional","affiliation":[{"name":"Ecole Pratique des Hautes Etudes, Universit\u00e9 PSL, CNRS UMR 6554 LETG, 35800 Dinard, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5896-1379","authenticated-orcid":false,"given":"Rongjun","family":"Qin","sequence":"additional","affiliation":[{"name":"Geospatial Data Analytics Lab, The Ohio State University, Columbus, OH 43210, USA"},{"name":"Department of Civil, Environmental and Geodetic Engineering, The Ohio State University, Columbus, OH 43210, USA"},{"name":"Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH 43210, USA"},{"name":"Translational Data Analytics Institute, The Ohio State University, Columbus, OH 43210, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,1,4]]},"reference":[{"key":"ref_1","unstructured":"Zhu, Z., Lu, L., Zhang, W., and Liu, W. 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