气候变化领域集成服务门户(CCPortal): Forest fire, thinning, and flood in wildland-urban interface: UAV and lidar-based estimate of natural disaster impacts

CCPortal

DOI	10.1007/s10980-024-01811-5
	Forest fire, thinning, and flood in wildland-urban interface: UAV and lidar-based estimate of natural disaster impacts
	Sankey, Temuulen Ts.; Tango, Lauren; Tatum, Julia; Sankey, Joel B.
发表日期	2024
ISSN	0921-2973
EISSN	1572-9761
起始页码	39
结束页码	3
卷号	39 期号:3
英文摘要	ContextWildland-urban interface (WUI) areas are facing increased forest fire risks and extreme precipitation events due to climate change, which can lead to post-fire flood events. The city of Flagstaff in northern Arizona, USA experienced WUI forest thinning, fire, and record rainfall events, which collectively contributed to large floods and damages to the urban neighborhoods and city infrastructure.ObjectivesWe demonstrate multi-temporal, high resolution image applications from an unoccupied aerial vehicle (UAV) and terrestrial lidar in estimating landscape disturbance impacts within the WUI. Changes in forest vegetation and bare ground cover in WUIs are particularly challenging to estimate with coarse-resolution satellite images due to fine-scale landscape processes and changes that often result in mixed pixels.MethodsUsing Sentinel-2 satellite images, we document forest fire impacts and burn severity. Using 2016 and 2021 UAV multispectral images and Structure-from-Motion data, we estimate post-thinning changes in forest canopy cover, patch sizes, canopy height distribution, and bare ground cover. Using repeat lidar data within a smaller area of the watershed, we quantify geomorphic effects in the WUI associated with the fire and subsequent flooding.ResultsWe document that thinning significantly reduced forest canopy cover, patch size, tree density, and mean canopy height resulting in substantially reduced active crown fire risks in the future. However, the thinning equipment ignited a forest fire, which burned the WUI at varying severity at the top of the watershed that drains into the city. Moderate-high severity burns occurred within 3 km of downtown Flagstaff threatening the WUI neighborhoods and the city. The upstream burned area then experienced 100-year and 200-500-year rainfall events, which resulted in large runoff-driven floods and sedimentation in the city.ConclusionWe demonstrate that UAV high resolution images and photogrammetry combined with terrestrial lidar data provide detailed and accurate estimates of forest thinning and post-fire flood impacts, which could not be estimated from coarser-resolution satellite images. Communities around the world may need to prepare their WUIs for catastrophic fires and increase capacity to manage sediment-laden stormwater since both fires and extreme weather events are projected to increase.
英文关键词	Ponderosa pine forest; Forest thinning; Structure-from-Motion; Sediment; Erosion; Deposition
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Physical Geography ; Geology
WOS类目	Ecology ; Geography, Physical ; Geosciences, Multidisciplinary
WOS记录号	WOS:001169126400001
来源期刊	LANDSCAPE ECOLOGY
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/305708
作者单位	Northern Arizona University; United States Department of the Interior; United States Geological Survey
推荐引用方式 GB/T 7714	Sankey, Temuulen Ts.,Tango, Lauren,Tatum, Julia,et al. Forest fire, thinning, and flood in wildland-urban interface: UAV and lidar-based estimate of natural disaster impacts[J],2024,39(3).
APA	Sankey, Temuulen Ts.,Tango, Lauren,Tatum, Julia,&Sankey, Joel B..(2024).Forest fire, thinning, and flood in wildland-urban interface: UAV and lidar-based estimate of natural disaster impacts.LANDSCAPE ECOLOGY,39(3).
MLA	Sankey, Temuulen Ts.,et al."Forest fire, thinning, and flood in wildland-urban interface: UAV and lidar-based estimate of natural disaster impacts".LANDSCAPE ECOLOGY 39.3(2024).