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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.
International archives of the photogrammetry, remote sensing and spatial information sciences., 12/2023, Letnik: XLVIII-1/W2-2023Journal Article, Conference Proceeding
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.
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Dostop do baze podatkov JCR je dovoljen samo uporabnikom iz Slovenije. Vaš trenutni IP-naslov ni na seznamu dovoljenih za dostop, zato je potrebna avtentikacija z ustreznim računom AAI.
Leto | Faktor vpliva | Izdaja | Kategorija | Razvrstitev | ||||
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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Povezave do osebnih bibliografij avtorjev | Povezave do podatkov o raziskovalcih v sistemu SICRIS |
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Vir: Osebne bibliografije
in: SICRIS
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