The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-2/W13
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W13, 461–467, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W13-461-2019
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W13, 461–467, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W13-461-2019

  04 Jun 2019

04 Jun 2019

MASS MOVEMENTS DETECTION FROM UAV IMAGES ANALYSIS

V. Morocho1, D. A. España2, A. C. Serrano2, R. Achig1, and J. Crompvoets3 V. Morocho et al.
  • 1Computer Science Department, University of Cuenca, Cuenca, Ecuador
  • 2Engineering Faculty, University of Cuenca, Cuenca, Ecuador
  • 3Public Governance Institute , KU LEUVEN, Leuven, Belgium

Keywords: landslide, mass movements, detection of mass movements

Abstract. Biophysical conditions, the lack of governance and the weak applications of planning and territorial planning policies are aggravating factors of affections caused by natural disasters in Latin America. In Ecuador, landslides have caused not only material but also human losses, which shows the lack of immediate actions to avoid human settlements in risk areas or more controlled evacuations protocols, in case of early detection of risk areas due to this type of events. This article is part of an applied research project for the City of Cuenca allowing to take advantage of the information provided by citizens with a PPGIS. Furthermore, remote sensor images are analyzed, in order to identify in a semi-automated way, risk areas due to mass movements problems. Two approaches for semi-automated detecting areas where mass movements happen have been explored, i) Temporal images obtained by a LiDAR; and ii) Temporary images obtained by flights of an unmanned aerial vehicle, UAV. This paper present the procedure followed by comparison of image outcomes. The resulting analysis clearly presents the applicability of the two techniques thus allowing the determination of maps and early detection of landslides.