Integrating UAS and TLS data for High Resolution Change Detection of the Komolithoi Badlands (Chania, Greece)

Citation:

Konsolaki A, Vassilakis E, E. K. Integrating UAS and TLS data for High Resolution Change Detection of the Komolithoi Badlands (Chania, Greece). In: 11th IAG - International Conference on Geomorphology. Christchurch, N. Zealand; Forthcoming.

Date Presented:

2-6 Feb.

Abstract:

The Komolithoi badlands, located in the Kissamos providence of Chania, Crete (Greece), are dunes consisting of soft clay that form conic shapes and represent a visually striking and geomorphologically active landscape, shaped by intense erosional processes characteristic of Mediterranean semi-arid environments. Their study can offer insights into the processes and mechanisms of erosion since due to their unique rock properties, including their high clay content, low organic matter, and low infiltration capacity, they are exceptionally vulnerable to erosion. Capturing the complexity and evolution of such landforms requires high-resolution, georeferenced data and a flexible methodological framework adapted to this challenging terrain.In this study, we combine Unmanned Aerial Systems (UAS) and Terrestrial Laser Scanning (TLS) data to generate ultra-detailed 3D models of the Komolithoi formations. Two full surveys were conducted in 2023 and 2024, enabling the construction of multitemporal point clouds. The integration of aerial and terrestrial methods enables dense, accurate surface coverage, overcoming limitations posed by occlusions, steep gradients, and fine-scale roughness. The resulting point clouds achieve high spatial resolution and geolocation precision, offering valuable insights into both surface morphology and potential erosion pathways. In addition to forming a baseline for future monitoring, the datasets allow for preliminary assessment of geomorphic dynamics and sediment redistribution.This contribution emphasizes the methodological potential of combining UAS and TLS technologies for badland research. It highlights how modern geomatics can advance the study of erosional landscapes where traditional surveying methods may fall short. Ultimately, this work contributes to the development of standardized, high-accuracy protocols for mapping and modeling badlands, aligning with broader efforts to monitor landscape change and aid land management in sensitive geomorphic environments.