Pawlik, Marcin ; Nguy, Quynh Anh ; Bernsdorf, Bodo ; Rudolph, Tobias ; Haske, Benjamin
This study explores the use of advanced drone technology with multiple sensors to improve the detection and mapping of fault zones. The goal is to validate a multifaceted approach using LIDAR, multispectral cameras, and thermal imaging, providing a comprehensive analysis of the Earth`s surface. LIDAR technology plays a critical role by creating high-resolution digital elevation models (DEMs) and digital surface models (DSMs). ; These models offer detailed depictions of terrain topography, crucial for identifying subtle variations associated with fault lines. LIDAR`s ability to see through vegetation also aids in delivering a clear terrain representation, irrespective of surface cover. Multispectral cameras capture images across various wavelengths, enabling the analysis of vegetation health through indices like GNDVI, NDVI, MSAVI, and VARI. ; These indices indicate geological disruptions, such as fault zones, since vegetation health often correlates with underlying anomalies. Thermal imaging adds another dimension by detecting minor temperature fluctuations on the ground`s surface. These variations can signal active faults, revealing friction or geothermal activities beneath the surface. To verify the sensor data accuracy, a site visit was conducted, comparing drone findings with actual soil profile samples. ; This ground-truthing step is vital for confirming that remote sensing data reflects real-world conditions accurately. Overall, the study shows that a multisensorial approach using drones significantly enhances fault zone detection and analysis. This integrated method serves as a potent tool for geological research, aiding in understanding fault dynamics and contributing to natural disaster preparedness.
tytuł dodatkowy: Prace z Inżynierii Lądowej i Środowiska
Zielona Góra: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
Civil and Environmental Engineering Reports (CEER), no 35, vol. 3
Biblioteka Uniwersytetu Zielonogórskiego
16 lip 2026
16 lip 2026
0
https://zbc.uz.zgora.pl/publication/109053
| Nazwa wydania | Data |
|---|---|
| The Use of Multisensoral Drone Monitoring to Fault's Zones in Areas Affected by Mining Activities | 16 lip 2026 |
Jaeckel, Julian Pawlik, Marcin Bernsdorf, Bodo Rudolph, Tobias Kuczyński, Tadeusz - red.
Pawlik, Marcin Gellendin, Maik Rudolph, Tobias Kuczyński, Tadeusz - red.