<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Karantanellis, E.,</style></author><author><style face="normal" font="default" size="100%">Marinos, V.,</style></author><author><style face="normal" font="default" size="100%">Vassilakis, E</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Decade of 4D Object-Based Monitoring of Cliff Hazard Dynamics</style></title><secondary-title><style face="normal" font="default" size="100%">EGU General Assembly 2026</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2026</style></year><pub-dates><date><style  face="normal" font="default" size="100%">3–8 May</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://doi.org/10.5194/egusphere-egu26-17014</style></url></web-urls></urls><pub-location><style face="normal" font="default" size="100%">Vienna, Austria</style></pub-location><pages><style face="normal" font="default" size="100%">EGU26-17014</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The Red Beach in Santorini, Greece, is a dynamic landscape formed by the rapid erosion of unstable volcaniclastic cliffs. This study presents a comprehensive, decadal analysis of cliff instability activity using a Multi-Temporal Object-Based Image Analysis (MT-OBIA) framework. Driven by a systematic collection of Unmanned Aerial System (UAS) high-resolution imagery, we developed a time series of high-resolution Digital Surface Models (DSMs) and orthomosaics. Our OBIA workflow was specifically designed to segment and classify features unique to this environment, including scarps/sources, deposits, and cracks. The results quantify a mean annual cliff retreat rate of 0.45 m/year, with significant spatial and temporal variability, including a major collapse event in the winter of 2019 that resulted in over 1 meter of instantaneous retreat. The OBIA-derived inventory, comprising over 1,200 individual objects, reveals a strong seasonal pattern linked to intense storm surges and coastal erosion. This research establishes a robust and transferable methodology for high-frequency geohazard monitoring in coastal environments, providing critical data for the safety management of one of Greece's most visited tourist destinations.</style></abstract></record></records></xml>