Paper
19 December 2008 Semi-automatic detection and labelling of erosion areas using domain knowledge: an appraisal from southeast New Caledonia (SW Pacific)
Isabelle Rouet, Dominique Gay, Michel Allenbach, Nazha Selmaoui, Jonathan Maura, Didier Lille
Author Affiliations +
Proceedings Volume 7150, Remote Sensing of Inland, Coastal, and Oceanic Waters; 71500V (2008) https://doi.org/10.1117/12.804925
Event: SPIE Asia-Pacific Remote Sensing, 2008, Noumea, New Caledonia
Abstract
The management of small Pacific coastal territories has become a crucial issue; these are insular units that often display a high level of biodiversity in a context of changing climate and sea-level rise. In order to preserve and protect populations, infrastructure and living resources, there is a need to understand inland processes that may influence the behaviour of coastal systems and, more particularly, active erosion zones. Cartography of stripped surfaces by remote sensing has become routine and we propose here the first step of a method that aims to monitor erosion features using an automated process. Managing catastrophic erosion and/or landslides needs high frequency image acquisition so as to optimize hazard prevention. On the basis of a single remote sensing map, we propose a generic method for automatically assigning expert-designed labels to erosion areas. Our automated process follows three steps: first, we use classical algorithms to detect stripped zones; second, we assign a label to each extracted zone using domain knowledge. Finally, as a post-processing phase, detected and labelled erosion areas are checked by experts. This method has been validated in an erosion-sensitive area of south-eastern New Caledonia.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Isabelle Rouet, Dominique Gay, Michel Allenbach, Nazha Selmaoui, Jonathan Maura, and Didier Lille "Semi-automatic detection and labelling of erosion areas using domain knowledge: an appraisal from southeast New Caledonia (SW Pacific)", Proc. SPIE 7150, Remote Sensing of Inland, Coastal, and Oceanic Waters, 71500V (19 December 2008); https://doi.org/10.1117/12.804925
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Geographic information systems

Mining

Remote sensing

Raster graphics

Landslides

Climate change

Oceanography

Back to Top