{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,22]],"date-time":"2026-02-22T07:34:19Z","timestamp":1771745659150,"version":"3.50.1"},"reference-count":59,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T00:00:00Z","timestamp":1729641600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"NASA Interdisciplinary Sciences","award":["80NSSC24K0298"],"award-info":[{"award-number":["80NSSC24K0298"]}]},{"name":"UCLA Department of Geography Helin Travel Fund","award":["80NSSC24K0298"],"award-info":[{"award-number":["80NSSC24K0298"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Accurate burn severity mapping is essential for understanding the impacts of wildfires on vegetation dynamics in arid savannas. The frequent wildfires in these biomes often cause topkill, where the vegetation experiences above-ground combustion but the below-ground root structures survive, allowing for subsequent regrowth post-burn. Investigating post-fire regrowth is crucial for maintaining ecological balance, elucidating fire regimes, and enhancing the knowledge base of land managers regarding vegetation response. This study examined the relationship between bush burn severity and woody vegetation post-burn coppicing\/regeneration events in the Kalahari Desert of Botswana. Utilizing UAV-derived RGB imagery combined with a Random Forest (RF) classification algorithm, we aimed to enhance the precision of burn severity mapping at a fine spatial resolution. Our research focused on a 1 km2 plot within the Modisa Wildlife Reserve, extensively burnt by the Kgalagadi Transfrontier Fire of 2021. The UAV imagery, captured at various intervals post-burn, provided detailed orthomosaics and canopy height models, facilitating precise land cover classification and burn severity assessment. The RF model achieved an overall accuracy of 79.71% and effectively identified key burn severity indicators, including green vegetation, charred grass, and ash deposits. Our analysis revealed a &gt;50% probability of woody vegetation regrowth in high-severity burn areas six months post-burn, highlighting the resilience of these ecosystems. This study demonstrates the efficacy of low-cost UAV photogrammetry for fine-scale burn severity assessment and provides valuable insights into post-fire vegetation recovery, thereby aiding land management and conservation efforts in savannas.<\/jats:p>","DOI":"10.3390\/rs16213943","type":"journal-article","created":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T09:07:04Z","timestamp":1729674424000},"page":"3943","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Evaluating Burn Severity and Post-Fire Woody Vegetation Regrowth in the Kalahari Using UAV Imagery and Random Forest Algorithms"],"prefix":"10.3390","volume":"16","author":[{"given":"Madeleine","family":"Gillespie","sequence":"first","affiliation":[{"name":"Department of Geography, University of California Los Angeles, 1255 Bunche Hall, P.O. Box 951524, Los Angeles, CA 90095, USA"}]},{"given":"Gregory S.","family":"Okin","sequence":"additional","affiliation":[{"name":"Department of Geography, University of California Los Angeles, 1255 Bunche Hall, P.O. Box 951524, Los Angeles, CA 90095, USA"}]},{"given":"Thoralf","family":"Meyer","sequence":"additional","affiliation":[{"name":"Department of Geography and the Environment, University of Texas at Austin, 305 E. 23rd Street - A3100 - RLP 3.306, Austin, TX 78712, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3363-2496","authenticated-orcid":false,"given":"Francisco","family":"Ochoa","sequence":"additional","affiliation":[{"name":"Department of Geography, University of California Los Angeles, 1255 Bunche Hall, P.O. Box 951524, Los Angeles, CA 90095, USA"}]}],"member":"1968","published-online":{"date-parts":[[2024,10,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"861","DOI":"10.1071\/WF10008","article-title":"Southern African Fire Regimes as Revealed by Remote Sensing","volume":"19","author":"Archibald","year":"2010","journal-title":"Int. J. Wildland Fire"},{"key":"ref_2","unstructured":"Komarek, E.V. (1964, January 9\u201310). The natural history of lightning. Proceedings of the Annual Tall Timbers Fire Ecology Conference Number 3, Tallahassee, FL, USA."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Mathieu, R., Main, R., Roy, D.P., Naidoo, L., and Yang, H. (2019). The Effect of Surface Fire in Savannah Systems in the Kruger National Park (KNP), South Africa, on the Backscatter of C-Band Sentinel-1 Images. Fire, 2.","DOI":"10.3390\/fire2030037"},{"key":"ref_4","unstructured":"Trollope, W.S.W. (1999). 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