The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Publications Copernicus
Download
Citation
Articles | Volume XLIII-B2-2020
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-227-2020
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-227-2020
12 Aug 2020
 | 12 Aug 2020

FUSION OF THERMAL AND VISIBLE POINT CLOUDS : APPLICATION TO THE VACHES NOIRES LANDSLIDE, NORMANDY, FRANCE

V. Guilbert, R. Antoine, C. Heinkelé, O. Maquaire, S. Costa, C. Gout, R. Davidson, J.-L. Sorin, B. Beaucamp, and C. Fauchard

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.