FUSION OF THERMAL AND VISIBLE POINT CLOUDS : APPLICATION TO THE VACHES NOIRES LANDSLIDE, NORMANDY, FRANCE
- 1Cerema, ENDSUM Research Team, Le-Grand-Quevilly, France
- 2Cerema, ENDSUM Research Team, Strasbourg, France
- 3LETG-GEOPHEN CAEN, UMR6554, Université de Caen Normandie, Caen, France
- 4INSA Rouen-Normandie Université , LMI EA 3226, Rouen, France
- 5IFSTTAR, Site de Nantes, Bouguenais, France
Keywords: Thermal Infrared, Visible, Photogrammetry, Fusion, UAV, Landslide
Abstract. In this paper, we present a methodology to fusion 3D visible and thermal infrared (TIR) information on a coastal landslide area located in Normandy, France. A reflex and TIR camera on-board an Unmanned Aerial Vehicle are utilized to generate a 3D visible and a thermal model using Photogrammetry. A Python-written algorithm is then used to associate the thermal scalar on the TIR model to the closest point on the visible point cloud, before applying α-blending to ease the visualization of both data sets. This methodology leads to the generation of an integrated 3D thermo-visible model, allowing the direct analysis of the surface temperatures, visible data and geometric configuration of the landslide.