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Penilaian Risiko Kebakaran Hutan×Anggaran Litupan Kanopi×
BidangPerhutananPerhutanan
KeluargaProcess / pipelineProcess / pipeline
Tahun asal1950s–2000s2000s
PengasasVan Wagner, Rothermel, and fire ecology research communityJennings, Brown, Sheil, and colleagues
JenisAssessment and modeling pipelineMeasurement and estimation pipeline
Sumber perintisAgee, J. K. (2000). The Ecology of Pacific Northwest Forests. Island Press. link ↗Jennings, S. B., Brown, N. D., & Sheil, D. (2000). Assessing Forest Canopies and Understorey Illumination: Methods and Applications. Forest Ecology and Management, 129(1-3), 219–243. link ↗
AliasWildfire risk assessment, Fire hazard mapping, Burn severity predictionCanopy closure measurement, Crown cover estimation, Overstory density assessment
Berkaitan44
RingkasanForest fire risk assessment quantifies the probability and potential severity of wildfire in forest ecosystems, integrating stand structure, fuel characteristics, weather patterns, and topography. Developed by Van Wagner, Rothermel, and fire science communities, fire risk models predict fire ignition likelihood, fire behavior (spread rate, intensity), and consequences (area burned, damage extent). Essential for land management planning, community protection, and ecosystem conservation.Canopy cover, or canopy closure, is the proportion of ground area covered by tree crowns when viewed from above, typically expressed as a percentage. Formalized by Jennings and colleagues in pioneering work on tropical forest structure, canopy cover estimation employs multiple methods—from field-based ocular assessment to sophisticated remote sensing and terrestrial LiDAR—providing essential data on forest structure, light availability, and habitat characteristics relevant to ecology, silviculture, and climate research.
ScholarGateSet data
  1. v1
  2. 4 Sumber
  3. PUBLISHED
  1. v1
  2. 4 Sumber
  3. PUBLISHED

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ScholarGateBandingkan kaedah: Forest Fire Risk Assessment · Canopy Cover Estimation. Dicapai 2026-06-18 daripada https://scholargate.app/ms/compare