The influence of DSM on rock-fall simulation: a case study from Western Greece

Maria P. Kakavas; Konstantinos G. Nikolakopoulos

doi:10.1117/12.2636139

26 October 2022 The influence of DSM on rock-fall simulation: a case study from Western Greece

Maria P. Kakavas, Konstantinos G. Nikolakopoulos

Proceedings Volume 12268, Earth Resources and Environmental Remote Sensing/GIS Applications XIII; 1226812 (2022) https://doi.org/10.1117/12.2636139
Event: SPIE Remote Sensing, 2022, Berlin, Germany

Conference Poster

Abstract

A plethora of risk-assessment methodologies have been developed for the detection of rockfall-prone areas. In this study, a freely available add-on for QGIS software named QPROTO, was chosen for hazard and susceptibility analyses of a well-studied rockfall in Platiana village of Ilia prefecture. QPROTO is based on the Cone Method and focuses on the identification of areas vulnerable to rockfall phenomena. The software takes into consideration the slope’s topography and various empirical parameters (e.g. dip direction θ, energy angle φp, lateral angle a). It calculates block velocity, kinetic energy, as well as the estimation of the time-independent relative rockfall hazard. The basic input parameters in QPROTO are a Digital Elevation Model (DEM), aspect, detachment propensity, boulder mass, energy line angle and lateral spreading angle. Slope characteristics (slope inclination, forest coverage) and block characteristics (block volume, block shape) are the main parameters that influence the evolution of a rockfall phenomenon. As DEMs extract details pertaining to the topography of the slope it is an essential factor for rockfall quantative computation via the aforementioned plugin. Eight free available DEMs have been evaluated in this work aiming to assess the most efficient ones. A DSM created from UAV data, a DSM from the Greek Cadastral, DSM from the Ministry of Agriculture, ALOS AW3D30 DEM, ASTER GDEM, SRTM30 DEM, SRTM90 DEM and TanDEM_X are used. Diverse analyses were performed and the results are presented. It is proved that the spatial resolution of the DEM is very crucial for the accuracy of the results.

Conference Presentation

Citation Download Citation

Maria P. Kakavas and Konstantinos G. Nikolakopoulos "The influence of DSM on rock-fall simulation: a case study from Western Greece", Proc. SPIE 12268, Earth Resources and Environmental Remote Sensing/GIS Applications XIII, 1226812 (26 October 2022); https://doi.org/10.1117/12.2636139

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