Auswahl der wissenschaftlichen Literatur zum Thema „Topo-Bathymetric lidar“
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Zeitschriftenartikel zum Thema "Topo-Bathymetric lidar"
Letard, M., A. Collin, D. Lague, T. Corpetti, Y. Pastol und A. Ekelund. „USING BISPECTRAL FULL-WAVEFORM LIDAR TO MAP SEAMLESS COASTAL HABITATS IN 3D“. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2022 (30.05.2022): 463–70. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2022-463-2022.
Der volle Inhalt der QuelleArav, Reuma, Camillo Ressl, Robert Weiss, Thomas Artz und Gottfried Mandlburger. „Evaluation of Active and Passive UAV-Based Surveying Systems for Eulittoral Zone Mapping“. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-2-2024 (11.06.2024): 9–16. http://dx.doi.org/10.5194/isprs-archives-xlviii-2-2024-9-2024.
Der volle Inhalt der QuelleWebster, Tim, Candace MacDonald, Kevin McGuigan, Nathan Crowell, Jean-Sebastien Lauzon-Guay und Kate Collins. „Calculating macroalgal height and biomass using bathymetric LiDAR and a comparison with surface area derived from satellite data in Nova Scotia, Canada“. Botanica Marina 63, Nr. 1 (25.02.2020): 43–59. http://dx.doi.org/10.1515/bot-2018-0080.
Der volle Inhalt der QuelleEren, Firat, Jaehoon Jung, Christopher E. Parrish, Nicholas Sarkozi-Forfinski und Brian R. Calder. „Total Vertical Uncertainty (TVU) Modeling for Topo-Bathymetric LIDAR Systems“. Photogrammetric Engineering & Remote Sensing 85, Nr. 8 (01.08.2019): 585–96. http://dx.doi.org/10.14358/pers.85.8.585.
Der volle Inhalt der QuelleWieser, M., M. Hollaus, G. Mandlburger, P. Glira und N. Pfeifer. „ULS LiDAR SUPPORTED ANALYSES OF LASER BEAM PENETRATION FROM DIFFERENT ALS SYSTEMS INTO VEGETATION“. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-3 (03.06.2016): 233–39. http://dx.doi.org/10.5194/isprsannals-iii-3-233-2016.
Der volle Inhalt der QuelleWieser, M., M. Hollaus, G. Mandlburger, P. Glira und N. Pfeifer. „ULS LiDAR SUPPORTED ANALYSES OF LASER BEAM PENETRATION FROM DIFFERENT ALS SYSTEMS INTO VEGETATION“. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-3 (03.06.2016): 233–39. http://dx.doi.org/10.5194/isprs-annals-iii-3-233-2016.
Der volle Inhalt der QuelleHansen, Signe Schilling, Verner Brandbyge Ernstsen, Mikkel Skovgaard Andersen, Zyad Al-Hamdani, Ramona Baran, Manfred Niederwieser, Frank Steinbacher und Aart Kroon. „Classification of Boulders in Coastal Environments Using Random Forest Machine Learning on Topo-Bathymetric LiDAR Data“. Remote Sensing 13, Nr. 20 (13.10.2021): 4101. http://dx.doi.org/10.3390/rs13204101.
Der volle Inhalt der QuelleHansen, Signe Schilling, Verner Brandbyge Ernstsen, Mikkel Skovgaard Andersen, Zyad Al-Hamdani, Ramona Baran, Manfred Niederwieser, Frank Steinbacher und Aart Kroon. „Classification of Boulders in Coastal Environments Using Random Forest Machine Learning on Topo-Bathymetric LiDAR Data“. Remote Sensing 13, Nr. 20 (13.10.2021): 4101. http://dx.doi.org/10.3390/rs13204101.
Der volle Inhalt der QuelleMandlburger, Gottfried, Martin Pfennigbauer, Roland Schwarz, Sebastian Flöry und Lukas Nussbaumer. „Concept and Performance Evaluation of a Novel UAV-Borne Topo-Bathymetric LiDAR Sensor“. Remote Sensing 12, Nr. 6 (19.03.2020): 986. http://dx.doi.org/10.3390/rs12060986.
Der volle Inhalt der QuelleMandlburger, G., M. Pfennigbauer, R. Schwarz und F. Pöppl. „A DECADE OF PROGRESS IN TOPO-BATHYMETRIC LASER SCANNING EXEMPLIFIED BY THE PIELACH RIVER DATASET“. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-1/W1-2023 (05.12.2023): 1123–30. http://dx.doi.org/10.5194/isprs-annals-x-1-w1-2023-1123-2023.
Der volle Inhalt der QuelleDissertationen zum Thema "Topo-Bathymetric lidar"
Letard, Mathilde. „Environnemental knowledge extraction from topo-bathymetric lidar : machine learning and deep neural networds for point clouds and waveforms“. Electronic Thesis or Diss., Université de Rennes (2023-....), 2023. http://www.theses.fr/2023URENB072.
Der volle Inhalt der QuelleLand-water interfaces face escalating threats from climate change and human activities, necessitating systematic observation to comprehend and effectively address these challenges. Nevertheless, constraints associated with the presence of water hinder the uninterrupted observation of submerged and emerged areas. Topo-bathymetric lidar remote sensing emerges as a suitable solution, ensuring a continuous representation of landwater zones through 3D point clouds and 1D waveforms. However, fully harnessing the potential of this data requires tools specifically crafted to address its unique characteristics. This thesis introduces methodologies for extracting environmental knowledge from topobathymetric lidar surveys. Initially, we introduce methods for classifying land and seabed covers using bi-spectral point clouds or waveform features. Subsequently, we employ deep neural networks for semantic segmentation, component detection and classification, and the estimation of water physical parameters based on bathymetric waveforms. Leveraging radiative transfer models, these approaches alleviate the need for manual waveform labeling, thereby enhancing waveform processing in challenging settings like extremely shallow or turbid waters
Buchteile zum Thema "Topo-Bathymetric lidar"
Bulot, Angéline, Antoine Collin, Mathilde Letard, Eric Feunteun, Loic Le Goff, Yves Pastol und Bruno Caline. „Spatial Modeling of the Benthic Biodiversity Using Topo-Bathymetric Lidar and Neural Networks“. In European Spatial Data for Coastal and Marine Remote Sensing, 223–27. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16213-8_15.
Der volle Inhalt der QuelleCaline, Bruno, Antoine Collin, Yves Pastol, Mathilde Letard und Eric Feunteun. „New Insights into the Shallow Morpho-Sedimentary Patterns Using High-Resolution Topo-Bathymetric Lidar: The Case Study of the Bay of Saint-Malo“. In European Spatial Data for Coastal and Marine Remote Sensing, 219–22. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16213-8_14.
Der volle Inhalt der QuelleLague, Dimitri, und Baptiste Feldmann. „Topo-bathymetric airborne LiDAR for fluvial-geomorphology analysis“. In Developments in Earth Surface Processes, 25–54. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-444-64177-9.00002-3.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Topo-Bathymetric lidar"
Letard, Mathilde, Antoine Collin, Dimitri Lague, Thomas Corpetti, Yves Pastol, Anders Ekelund, Gerard Pergent und Stephane Costa. „Towards 3D Mapping of Seagrass Meadows with Topo-Bathymetric Lidar Full Waveform Processing“. In IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2021. http://dx.doi.org/10.1109/igarss47720.2021.9554262.
Der volle Inhalt der QuelleDeunf, Julian Le, Rudresh Mishra, Yves Pastol, Romain Billot und Steve Oudot. „Seabed prediction from airborne topo-bathymetric lidar point cloud using machine learning approaches“. In OCEANS 2021: San Diego – Porto. IEEE, 2021. http://dx.doi.org/10.23919/oceans44145.2021.9706113.
Der volle Inhalt der QuelleLetard, Mathilde, Antoine Collin, Thomas Corpetti, Dimitri Lague, Yves Pastol, Helene Gloria, Dorothee James und Antoine Mury. „Classification of coastal and estuarine ecosystems using full-waveform topo-bathymetric lidar data and artificial intelligence“. In OCEANS 2021: San Diego – Porto. IEEE, 2021. http://dx.doi.org/10.23919/oceans44145.2021.9705797.
Der volle Inhalt der QuelleWebster, Tim. „Results from 3 seasons of surveys in maritime Canada using the Leica Chiroptera II shallow water topo-bathymetric lidar sensor“. In OCEANS 2017 - Aberdeen. IEEE, 2017. http://dx.doi.org/10.1109/oceanse.2017.8084681.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Topo-Bathymetric lidar"
Webster, T. L., K. McGuigan, N. Crowell und N. Fee. Using topo-bathymetric LiDAR to map near shore benthic environments. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2017. http://dx.doi.org/10.4095/305941.
Der volle Inhalt der QuelleBrodie, Katherine, Brittany Bruder, Richard Slocum und Nicholas Spore. Simultaneous mapping of coastal topography and bathymetry from a lightweight multicamera UAS. Engineer Research and Development Center (U.S.), August 2021. http://dx.doi.org/10.21079/11681/41440.
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