| Title: |
USING BISPECTRAL FULL-WAVEFORM LIDAR TO MAP SEAMLESS COASTAL HABITATS IN 3D |
| Authors: |
Letard, Mathilde; Collin, A.; Lague, Dimitri; Corpetti, Thomas; Pastol, Y.; Ekelund, A. |
| Contributors: |
École Pratique des Hautes Études (EPHE); Université Paris Sciences et Lettres (PSL); Géosciences Rennes (GR); Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS); Observatoire des Sciences de l'Univers de Rennes (OSUR); Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE); Littoral, Environnement, Télédétection, Géomatique (LETG - Rennes); Université de Brest (UBO EPE)-Université de Rennes 2 (UR2)-Littoral, Environnement, Télédétection, Géomatique UMR 6554 (LETG); Université de Brest (UBO EPE)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (Nantes Univ - IGARUN); Nantes Université - pôle Humanités; Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes Université - pôle Humanités; Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (Nantes Univ - IGARUN); Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ); Service Hydrographique et Océanographique de la Marine (SHOM); Ministère des armées – Ministère de la défense France (1946-.); Airborne Hydrography AB - Jönköping; Saur Group; Région Bretagne ARED program; Nantes-Rennes topo-bathymetric lidar platform. |
| Source: |
ISSN: 1682-1750. |
| Publisher Information: |
CCSD; Copernicus GmbH (Copernicus Publications) |
| Publication Year: |
2022 |
| Collection: |
Archive Ouverte de l'Université Rennes (HAL) |
| Subject Terms: |
Habitat mapping; Topobathymetric lidar; Full-waveform lidar; Classification; Coastal habitats; [SDU.STU.GM]Sciences of the Universe [physics]/Earth Sciences/Geomorphology |
| Description: |
International audience ; Mapping coastal habitats is essential to their preservation, but the presence of water hinders seamless data collection over land-water interfaces. Thanks to its dual-wavelength and optical properties, topo-bathymetric lidar can address this task efficiently. Topo-bathymetric lidar waveforms contain relevant information to classify land and water covers automatically but are rarely analysed for both infrared and green wavelengths. The present study introduces a point-based approach for the classification of coastal habitats using bispectral waveforms of topo-bathymetric lidar surveys and machine learning. Spectral features and differential elevations are fed to a random forest algorithm to produce three-dimensional classified point clouds of 17 land and sea covers. The resulting map reaches an overall accuracy of 86%, and 65% of the prediction probabilities are above 0.60. Using this prediction confidence, it is possible to map coastal habitats and eliminate the classification errors due to noise in the data, that generate a clear tendency of the algorithm to overestimate some classes at the expense of some others. By filtering out points with a low prediction confidence (under 0.7), the classification can be highly improved and reach an overall accuracy of 97%. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| DOI: |
10.5194/isprs-archives-xliii-b3-2022-463-2022 |
| Availability: |
https://insu.hal.science/insu-03691672; https://insu.hal.science/insu-03691672v1/document; https://insu.hal.science/insu-03691672v1/file/isprs-archives-XLIII-B3-2022-463-2022.pdf; https://doi.org/10.5194/isprs-archives-xliii-b3-2022-463-2022 |
| Rights: |
https://about.hal.science/hal-authorisation-v1/ ; info:eu-repo/semantics/OpenAccess |
| Accession Number: |
edsbas.5DEC2AC5 |
| Database: |
BASE |