Assessment of freely available DSMs for landslide-rockfall studies

Maria Kakavas; Aggeliki Kyriou; Konstantinos G. Nikolakopoulos

doi:10.1117/12.2573604

20 September 2020 Assessment of freely available DSMs for landslide-rockfall studies

Maria Kakavas, Aggeliki Kyriou, Konstantinos G. Nikolakopoulos

Proceedings Volume 11534, Earth Resources and Environmental Remote Sensing/GIS Applications XI; 115340R (2020) https://doi.org/10.1117/12.2573604
Event: SPIE Remote Sensing, 2020, Online Only

Abstract

Landslides or rockfalls in mountainous areas in Western Greece are a continuous hazard and thus, observation either in situ or through satellite data is of great necessity. In order to study landslides or rockfalls a very accurate representation of the relief is a prerequisite. In now days diverse remote sensing satellites provides digital surface elevation models (DSMs) with global coverage. The specific data sets present the advantages of covering large areas in a very low cost in comparison with the surveys in the field. In addition, high resolution DSMs enable the analysis of topography with high levels of detail and consequently geomorphometric approach becomes more accurate for studying landlsides or rockfall events. Information which can be extracted from geological and topographic maps in GIS format such as the slope angle distribution, deduced from high resolution DSMs, are substantial in rockfalls survey. In the present work, the accuracy of freely available DSMs are under control for landslides areas in Achaia prefecture in NW Peloponnese. The accuracy of the DSMs in the broader area is investigated using reference points of certified elevation while for the landslide area ground control collected with differential GNSS receiver are used. More specifically, free available DSMs as TanDEMX, ASTER GDEM, SRTM DEM with 30m and 90m spatial resolution, ALOS AW3D30 DEM, DSM from photogrammetric airphoto processing and DSM produced by Interferometric processing of radar images, are under examination in the current study. Furthermore, diverse statistical parameters such as the 2D Root Mean Square Error or the percentile value are computed and presented. The purpose of the aforementioned procedure is to detect the most accurate DSMs which are appropriate for landslide of rockfall monitoring.

Conference Presentation

Citation Download Citation

Maria Kakavas, Aggeliki Kyriou, and Konstantinos G. Nikolakopoulos "Assessment of freely available DSMs for landslide-rockfall studies", Proc. SPIE 11534, Earth Resources and Environmental Remote Sensing/GIS Applications XI, 115340R (20 September 2020); https://doi.org/10.1117/12.2573604

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