Poster + Presentation + Paper
12 September 2021 Surface displacements determinations at "Fish-Fish" landslide area based on UAV photogrammetric surveys and remotely sensed SAR data
Author Affiliations +
Conference Poster
Abstract
Landslide occurrences are result of natural or human activities, but regardless of the origin they change the landscape, destroy infrastructure and in some cases even leads to loss of human lives. In order to assess the hazard of this phenomenon remotely sensed data from aerial and satellite instruments are widely used to monitor the ground motions at regular intervals. Those methods are less expensive and less time consuming than terrain inspections and measurements and the other hand the size of the studied areas is larger. This was the rationale to initiate a study on the surface deformations in the area of “Fish-Fish” landslide located on the north part of the Black Sea coast of Bulgaria. Two sources of data were used to create a map of recent surface displacements in the said area – photogrammetric surveys with UAV and remotely sensed images from synthetic aperture radar from satellite instruments. The area of the landslide was investigated by photogrammetry in years 2019 and 2020 and as result created were two digital elevation models. The accuracy allowed registration of the surface motions at centimeter scale using ground control points located inside and outside the perimeter of the landslide. The satellite SAR data are provided at no cost by ESA originating from the twin constellation of Sentinel-1 mission. The authors downloaded SAR data for the same periods when the UAV surveys were made. Due to peculiarities of the local terrain it was possible only SAR images from descending orbit to be used. The processing of those data was done by verified interferometric processing method implemented in the SNAP software. Finally the results from control points for both sources were compared and good correlation between them was established. A map of the landslide area depicting the registered ground displacements was produced.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mila Atanasova and Hristo Nikolov "Surface displacements determinations at "Fish-Fish" landslide area based on UAV photogrammetric surveys and remotely sensed SAR data", Proc. SPIE 11863, Earth Resources and Environmental Remote Sensing/GIS Applications XII, 1186317 (12 September 2021); https://doi.org/10.1117/12.2599416
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KEYWORDS
Landslide (networking)

Unmanned aerial vehicles

Synthetic aperture radar

Interferometry

3D modeling

Satellites

Data acquisition

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