Integrated application of remote sensing data for mapping the  landslide vertical deformations

Alexander Gikov; Stelian Dimitrov; Martin Iliev; Leonid Todorov; Nadezhda Nikolova

doi:10.1117/12.2681768

21 September 2023 Integrated application of remote sensing data for mapping the landslide vertical deformations

Alexander Gikov, Stelian Dimitrov, Martin Iliev, Leonid Todorov, Nadezhda Nikolova

Proceedings Volume 12786, Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023); 1278619 (2023) https://doi.org/10.1117/12.2681768
Event: Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023), 2023, Ayia Napa, Cyprus

Abstract

The aim of the present study is to present an integrated approach based on the use of both classical remote sensing data and data generated by Unmanned Aerial Systems (UAS) for the purpose of precise mapping and assessment of vertical deformations of large-scale landslides structure (160 ha) located in the Eastern Rhodopes region, Bulgaria. The evaluations and the mapping itself were carried out by means of different types of generated Digital Terrain Models (DTMs), reflecting the dynamics in the development of the structure over a long period of time. The DTMSs were generated on the basis of three groups of methods – vectorized data of large-scale topographic maps from the 1980s, photogrammetric data and data from airborne laser scanning (LIDAR) based on an unmanned aerial vehicle platform. The complex geospatial analysis of the different digital terrain models shows that as a result of the landslide, significant vertical deformations occurred in the study area, with their maximum amplitude ranging from -17,2meters to more than +20 meters. The results of the present study demonstrate the enormous possibilities of modern geoinformation technologies to integrate and analyze various data, approaches and methods, which provides the necessary tools for conducting long-term precise monitoring of territories affected by risk processes, including landslides.

Citation Download Citation

Alexander Gikov, Stelian Dimitrov, Martin Iliev, Leonid Todorov, and Nadezhda Nikolova "Integrated application of remote sensing data for mapping the landslide vertical deformations", Proc. SPIE 12786, Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023), 1278619 (21 September 2023); https://doi.org/10.1117/12.2681768

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KEYWORDS

Deformation

LIDAR

Remote sensing

Data modeling

Associative arrays

3D modeling

Laser scanners

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