TREE-LEVEL FUEL CONNECTIVITY TO ASSESS CROWN WILDFIRE POTENTIAL BY UAS-BASED PHOTOGRAMMETRY

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...

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Published inInternational archives of the photogrammetry, remote sensing and spatial information sciences. Vol. XLVIII-1/W2-2023; pp. 1743 - 1748
Main Authors Herrero-Huerta, M., Sánchez-Jiménez, D., del Campo-Sanchez, A., Cifuentes-Jimenez, D., Piedelobo-Martín, L., de Andres-Anaya, P., Gonzalez-Gonzalez, E., Yali Samaniego, R., del Pozo, S., Hernandez-Lopez, D., Lagüela, S., González-Aguilera, D.
Format Journal Article Conference Proceeding
LanguageEnglish
Published Gottingen Copernicus GmbH 14.12.2023
Copernicus Publications
Subjects
Aircraft
Algorithms
Archives & records
Connectivity
Digital cameras
Forest & brush fires
Forest fires
Forest management
Global positioning systems
GPS
Photogrammetry
Software
Spatial variations
Trees
Unmanned aerial vehicles
Unmanned aircraft
Wildfires
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Summary: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.
ISSN:2194-9034
1682-1750
2194-9034
DOI:10.5194/isprs-archives-XLVIII-1-W2-2023-1743-2023