Large-scale classification of water areas using airborne topographic lidar data

• Published in: Remote sensing of environment Vol. 138; pp. 134 - 148
• Main Authors: Smeeckaert, Julien, Mallet, Clément, David, Nicolas, Chehata, Nesrine, Ferraz, Antonio
• Format: Journal Article
• Language: English
• Published: New York, NY Elsevier Inc 01.11.2013; Elsevier
• Subjects: Airborne; Animal, plant and microbial ecology; Applied geophysics; Biological and medical sciences; Classification; coasts; Computer Science; Computer Vision and Pattern Recognition; Earth sciences; Earth, ocean, space; Exact sciences and technology; Fundamental and applied biological sciences. Psychology; General aspects. Techniques; habitats; Internal geophysics; land cover; Large scale mapping; Lidar; probability; remote sensing; Rivers; Seashore; Support vector machines; surveys; Teledetection and vegetation maps; topography; Water; Water; Support vector machines; Classification; Lidar; Rivers; Seashore; Large scale mapping; Airborne; floods; shorelines; clouds; Modeling; preservation; discrimination; relief; Natural hazards; Hazard; high frequency; topography; inundations; remote sensing; cartography; classification; airborne methods; techniques; digital terrain models; Aerial survey

Accurate Digital Terrain Models (DTMs) are inevitable inputs for mapping and analyzing areas subject to natural hazards. Topographic airborne laser scanning has become an established technique to characterize the Earth's surface: lidar provides 3D point clouds allowing for a fine reconstruction...