ISPRS-Archives The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ISPRS-Archives Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. 2194-9034 Copernicus Publications Göttingen, Germany 10.5194/isprs-archives-XLVIII-1-W2-2023-1743-2023 TREE-LEVEL FUEL CONNECTIVITY TO ASSESS CROWN WILDFIRE POTENTIAL BY UAS-BASED PHOTOGRAMMETRY Herrero-Huerta M. https://orcid.org/0000-0002-4134-557X 1 Sánchez-Jiménez D. 1 del Campo-Sanchez A. 1 Cifuentes-Jimenez D. 1 Piedelobo-Martín L. 1 de Andres-Anaya P. 1 Gonzalez-Gonzalez E. 1 Yali Samaniego R. 1 del Pozo S. 1 Hernandez-Lopez D. 2 Lagüela S. 1 González-Aguilera D. 1 Department of Cartographic and Land Engineering, Higher Polytechnic School of Avila, Universidad de Salamanca, Hornos Caleros 50, 05003 Ávila, Spain Institute of Regional Development, University of Castilla-La Mancha, 02071 Albacete, Spain 14 12 2023 XLVIII-1/W2-2023 1743 1748 Copyright: © 2023 M. Herrero-Huerta et al. 2023 This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/ This article is available from https://isprs-archives.copernicus.org/articles/XLVIII-1-W2-2023/1743/2023/isprs-archives-XLVIII-1-W2-2023-1743-2023.html The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLVIII-1-W2-2023/1743/2023/isprs-archives-XLVIII-1-W2-2023-1743-2023.pdf

Evaluating the potential for crown fires remains a pivotal concern in wildfire management because it affects fire behavior, causing them to spread further. In this work, we propose a methodology to assess crown fire potential based on the tree connectivity at crown level from UAS (Unmanned Aircraft Systems)-based Structure-from-Motion Photogrammetry. The approach is usable in a large landscape with the aim of reducing crown fire potential by considering the spatial variability of fuels within a stand. The utilization of UAS for photogrammetry holds immense promise in transforming the approach to assessing and managing forest fires. This cutting-edge technology offers the potential to deliver highly precise and comprehensive data concerning forest structure and connectivity, thereby presenting a groundbreaking opportunity for enhanced forest fire analysis and control.