ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume V-2-2020
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 427–434, 2020
https://doi.org/10.5194/isprs-annals-V-2-2020-427-2020
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 427–434, 2020
https://doi.org/10.5194/isprs-annals-V-2-2020-427-2020

  03 Aug 2020

03 Aug 2020

STOCKPILE MONITORING USING LINEAR SHAPE-FROM-SHADING ON PLANETSCOPE IMAGERY

M. d’Autume1, A. Perry2, J.-M. Morel1, E. Meinhardt-Llopis1, and G. Facciolo1 M. d’Autume et al.
  • 1Université Paris-Saclay, CNRS, ENS Paris-Saclay, Centre Borelli, 94235, Cachan, France
  • 2Kayrros SAS

Keywords: Shape-from-Shading, time series, satellite imagery, stockpiles monitoring

Abstract. The storage and management of stockpiles of materials is a fundamental process in large scale activities such as mining, civil engineering, and in the management of waste landfill sites. Following the evolution of stocks has always been important, and advancements in remote sensing technology are not only facilitating this, but also making it possible in near real-time. Nowadays, this monitoring appears to be performed almost exclusively using UAV based techniques. This paper proposes to apply a simple Shape-from-Shading method on low resolution satellite images provided by PlanetScope to monitor the evolution of the volume of stockpiles. The proposed Shape-from-Shading formulation makes it possible to handle occluding objects in the scene. The loss in accuracy due to the low resolution of PlanetScope images is well compensated by the daily revisit frequency and by the fact that spaceborne acquisitions require no human supervision. With satellites it is also easy to follow simultaneously several stocking sites all over the world. We test our method on two coal storage sites and demonstrate that the stockpiles are well detected.