Fine-Scale Monitoring of Long-term Wetland Loss Using LiDAR Data and Historical Aerial Photographs the Example of the Couesnon Floodplain, France

Abstract : Wetland area has decreased in most parts of the world and remains threatened by human pressures. However, wetland loss is difficult to accurately detect, delineate and quantify. While wetland distribution is influenced mainly by landform, LiDAR data provide accurate digital elevation models that can be used to delineate wetlands. Our objective was to map wetland loss at a fine-scale using LiDAR data and historical aerial photographs based on a functional typology that identifies potential, existing and efficient wetlands. The study focused on a 132 km(2) site with valley bottom wetlands located in western France. Boundaries of potential wetlands were extracted from a LiDAR-derived Digital Terrain Model that was standardized according to channel network elevation. We identified existing wetlands using interpretation of aerial photographs acquired in 1952, 1978 and 2012. We used multiple correspondence analysis to identify different types of wetland loss. Results show that potential wetlands were successfully delineated at 15000 (88-90% overall accuracy) and that 14% of existing wetland area was lost. This highlights the importance of identifying "negotiation areas" where wetland restoration is a priority. The results also reveal two main types of wetland loss based on area, geomorphic context, land cover and period of loss.
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Journal articles
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https://hal-univ-rennes1.archives-ouvertes.fr/hal-01861279
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Submitted on : Friday, August 24, 2018 - 11:40:32 AM
Last modification on : Tuesday, May 7, 2019 - 6:30:09 PM

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Sebastien Rapinel, Bernard Clément, Simon Dufour, Laurence Hubert-Moy. Fine-Scale Monitoring of Long-term Wetland Loss Using LiDAR Data and Historical Aerial Photographs the Example of the Couesnon Floodplain, France. Wetlands, Springer Verlag, 2018, 38 (3), pp.423-435. ⟨10.1007/s13157-017-0985-2⟩. ⟨hal-01861279⟩

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