The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B2-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 227–232, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-227-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 227–232, 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. Guilbert1, R. Antoine1, C. Heinkelé2, O. Maquaire3, S. Costa3, C. Gout4, R. Davidson3, J.-L. Sorin5, B. Beaucamp1, and C. Fauchard1 V. Guilbert et al.
  • 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.