{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T16:39:55Z","timestamp":1774543195392,"version":"3.50.1"},"reference-count":150,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2024,2,25]],"date-time":"2024-02-25T00:00:00Z","timestamp":1708819200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"co-financed by Greece and the European Union (European Social Fund\u2014ESF) through the Operational Program \u201cHuman Resources Development, Education and Lifelong Learning\u201d in the context of the project \u201cStrengthening Human Resources Research Potential via Doctorate Research\u20142nd Cycle\u201d","award":["MIS-5000432"],"award-info":[{"award-number":["MIS-5000432"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Remote sensing techniques, namely Unmanned Aerial Vehicle (UAV) photogrammetry and t-LiDAR (terrestrial Light Detection and Ranging), two well-established techniques, were applied for seven years in a mountainous Mediterranean catchment in Greece (Ilioupoli test site, Athens), following a wildfire event in 2015. The goal was to monitor and quantify soil erosion and sedimentation rates with cm accuracy. As the frequency of wildfires in the Mediterranean has increased, this study aims to present a methodological approach for monitoring and quantifying soil erosion and sedimentation rates in post-fire conditions, through high spatial resolution field measurements acquired using a UAV survey and a t-LiDAR (or TLS\u2014Terrestrial Laser Scanning), in combination with georadar profiles (Ground Penetration Radar\u2014GPR) and GNSS. This test site revealed that 40 m3 of sediment was deposited following the first intense autumn rainfall events, a value that was decreased by 50% over the next six months (20 m3). The UAV\u2013SfM technique revealed only 2 m3 of sediment deposition during the 2018\u20132019 analysis, highlighting the decrease in soil erosion rates three years after the wildfire event. In the following years (2017\u20132021), erosion and sedimentation decreased further, confirming the theoretical pattern, whereas sedimentation over the first year after the fire was very high and then sharply lessened as vegetation regenerated. The methodology proposed in this research can serve as a valuable guide for achieving high-precision sediment yield deposition measurements based on a detailed analysis of 3D modeling and a point cloud comparison, specifically leveraging the dense data collection facilitated by UAV\u2013SfM and TLS technology. The resulting point clouds effectively replicate the fine details of the topsoil microtopography within the upland dam basin, as highlighted by the profile analysis. Overall, this research clearly demonstrates that after monitoring the upland area in post-fire conditions, the UAV\u2013SfM method and LiDAR cm-scale data offer a realistic assessment of the retention dam\u2019s life expectancy and management planning. These observations are especially crucial for assessing the impacts in the wildfire-affected areas, the implementation of mitigation strategies, and the construction and maintenance of retention dams.<\/jats:p>","DOI":"10.3390\/rs16050802","type":"journal-article","created":{"date-parts":[[2024,2,26]],"date-time":"2024-02-26T10:40:17Z","timestamp":1708944017000},"page":"802","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Monitoring and Quantifying Soil Erosion and Sedimentation Rates in Centimeter Accuracy Using UAV-Photogrammetry, GNSS, and t-LiDAR in a Post-Fire Setting"],"prefix":"10.3390","volume":"16","author":[{"given":"Simoni","family":"Alexiou","sequence":"first","affiliation":[{"name":"Laboratory of Mineralogy and Geology, Department of Natural Resources & Agricultural Engineering, Agricultural University of Athens, 75 Iera Odos Str., 11855 Athens, Greece"},{"name":"Department of Tactical Operation Informatics and Geospatial Analysis, Division of Informatics and Telecommunications, Hellenic Fire Brigade, 18346 Athens, Greece"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3576-3636","authenticated-orcid":false,"given":"Ioannis","family":"Papanikolaou","sequence":"additional","affiliation":[{"name":"Laboratory of Mineralogy and Geology, Department of Natural Resources & Agricultural Engineering, Agricultural University of Athens, 75 Iera Odos Str., 11855 Athens, Greece"}]},{"given":"Sascha","family":"Schneiderwind","sequence":"additional","affiliation":[{"name":"Institute of Neotectonics and Natural Hazards, RWTH Aachen University, 52062 Aachen, Germany"}]},{"given":"Valerie","family":"Kehrle","sequence":"additional","affiliation":[{"name":"Institute of Neotectonics and Natural Hazards, RWTH Aachen University, 52062 Aachen, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9339-4488","authenticated-orcid":false,"given":"Klaus","family":"Reicherter","sequence":"additional","affiliation":[{"name":"Institute of Neotectonics and Natural Hazards, RWTH Aachen University, 52062 Aachen, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2024,2,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1080\/153249802317304422","article-title":"Land Degradation in the Drylands","volume":"16","author":"Dregne","year":"2002","journal-title":"Arid. 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