{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T18:01:17Z","timestamp":1781373677286,"version":"3.54.1"},"reference-count":47,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2020,4,20]],"date-time":"2020-04-20T00:00:00Z","timestamp":1587340800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Spanish Ministry of Economy and Competitiveness","award":["FIRESEVES (AGL2017-86075-C2-1-R)"],"award-info":[{"award-number":["FIRESEVES (AGL2017-86075-C2-1-R)"]}]},{"name":"Government of Castile and Le\u00f3n autonomous region","award":["SEFIRECYL (LE001P17)"],"award-info":[{"award-number":["SEFIRECYL (LE001P17)"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Prescribed fires have been applied in many countries as a useful management tool to prevent large forest fires. Knowledge on burn severity is of great interest for predicting post-fire evolution in such burned areas and, therefore, for evaluating the efficacy of this type of action. In this research work, the severity of two prescribed fires that occurred in \u201cLa Sierra de Ur\u00eda\u201d (Asturias, Spain) in October 2017, was evaluated. An Unmanned Aerial Vehicle (UAV) with a Parrot SEQUOIA multispectral camera on board was used to obtain post-fire surface reflectance images on the green (550 nm), red (660 nm), red edge (735 nm), and near-infrared (790 nm) bands at high spatial resolution (GSD 20 cm). Additionally, 153 field plots were established to estimate soil and vegetation burn severity. Severity patterns were explored using Probabilistic Neural Networks algorithms (PNN) based on field data and UAV image-derived products. PNN classified 84.3% of vegetation and 77.8% of soil burn severity levels (overall accuracy) correctly. Future research needs to be carried out to validate the efficacy of this type of action in other ecosystems under different climatic conditions and fire regimes.<\/jats:p>","DOI":"10.3390\/rs12081295","type":"journal-article","created":{"date-parts":[[2020,4,21]],"date-time":"2020-04-21T04:49:38Z","timestamp":1587444578000},"page":"1295","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Evaluation of Prescribed Fires from Unmanned Aerial Vehicles (UAVs) Imagery and Machine Learning Algorithms"],"prefix":"10.3390","volume":"12","author":[{"given":"Luis A.","family":"P\u00e9rez-Rodr\u00edguez","sequence":"first","affiliation":[{"name":"Agrarian Science and Engineering Department, University of Le\u00f3n, Av. Astorga s\/n, 24400  Ponferrada, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6204-2319","authenticated-orcid":false,"given":"Carmen","family":"Quintano","sequence":"additional","affiliation":[{"name":"Electronic Technology Department, Engineering School, University of Valladolid, Paseo del Cuace, 59, 47011 Valladolid, Spain"},{"name":"Sustainable Forest Management Research Institute, University of Valladolid, Spanish National Institute for Agriculture and Food Research and Technology (INIA), 47002 Valladolid, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9762-5039","authenticated-orcid":false,"given":"Elena","family":"Marcos","sequence":"additional","affiliation":[{"name":"Biodiversity and Environmental Management Department, Faculty of Biological and Environmental Sciences, University of Le\u00f3n, Campus de Vegazana s\/n, 24071 Le\u00f3n, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Susana","family":"Suarez-Seoane","sequence":"additional","affiliation":[{"name":"Department of Organisms and Systems Biology (Ecology Unit) and Research Unit of Biodiversity (UMIB; UO-CSIC-PA), University of Oviedo, 33003 Oviedo, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3710-0817","authenticated-orcid":false,"given":"Leonor","family":"Calvo","sequence":"additional","affiliation":[{"name":"Biodiversity and Environmental Management Department, Faculty of Biological and Environmental Sciences, University of Le\u00f3n, Campus de Vegazana s\/n, 24071 Le\u00f3n, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alfonso","family":"Fern\u00e1ndez-Manso","sequence":"additional","affiliation":[{"name":"Agrarian Science and Engineering Department, University of Le\u00f3n, Av. Astorga s\/n, 24400  Ponferrada, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,4,20]]},"reference":[{"key":"ref_1","first-page":"25","article-title":"Remote Sensing, natural hazards and the contribution of ESA Sentinels missions","volume":"6","author":"Poursanidis","year":"2017","journal-title":"Remote Sens. Appl. Soc. Environ."},{"key":"ref_2","first-page":"1","article-title":"Land surface temperature as potential indicator of burn severity in forest Mediterranean ecosystems","volume":"36","author":"Quintano","year":"2015","journal-title":"Int. J. Appl. Earth Obs."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1071\/WF05097","article-title":"Remote sensing techniques to assess active fire characteristics and post-fire effects","volume":"15","author":"Lentile","year":"2006","journal-title":"Int. J. 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