气候变化领域集成服务门户(CCPortal): A simple and integrated approach for fire severity assessment using bi-temporal airborne LiDAR data

CCPortal

DOI	10.1016/j.jag.2019.01.007
	A simple and integrated approach for fire severity assessment using bi-temporal airborne LiDAR data
	Hu T.; Ma Q.; Su Y.; Battles J.J.; Collins B.M.; Stephens S.L.; Kelly M.; Guo Q.
发表日期	2019
ISSN	15698432
起始页码	25
结束页码	38
卷号	78
英文摘要	This study proposes a new method (profile area change, PAC) to quantify fire-induced forest structural changes at the individual tree and clump of trees scales using pre- and post-fire LiDAR data. The PAC measures the difference in profile area summarized from pre- and post-fire LiDAR points. We applied the PAC method to assess the effects of the 2013 American Fire in the Sierra Nevada, California, USA. Our LiDAR PAC metrics were compared to changes in commonly used LiDAR-derived canopy cover and tree height metrics at tree level, and to Landsat-8 imagery-derived relative differenced normalized burn ratio (RdNBR) at the 30m pixel level. A quantitative validation using field measured changes in basal area and leaf area index (LAI) confirmed that correlations between PAC metrics and field measurements (R 2 ≥ 0.67) were significantly higher than those from canopy cover or tree height metrics (R 2 ≤ 0.43), and much stronger than that from RdNBR (R 2 ≤ 0.26). The PAC metrics can also be used to infer the extent of tree canopy disturbance caused by fire, based on whether the majority of biomass loss occurred above or below the tree crown base height. Mapping of canopy disturbance indicated that over half (57.0%) of the American Fire region had tree canopy loss from fire, 22.5% of trees had sub-canopy loss, while the remaining area had no detectable tree canopy change. Overall, the LiDAR PAC metric, as a simple and integrated method, demonstrated promising potential in characterizing fine-grained changes in forest structure. The method can be beneficial for forest managers in evaluating fire-induced environmental and economic losses, and provide useful information for forest restoration design. © 2019 Elsevier B.V.
英文关键词	Airborne LiDAR; Fire severity; Fire type; Profile area change; Tree canopy
语种	英语
scopus关键词	airborne survey; basal area; canopy; forest fire; forest management; integrated approach; leaf area index; lidar; California; Sierra Nevada [California]; United States
来源期刊	International Journal of Applied Earth Observation and Geoinformation
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156484
作者单位	State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China; Sierra Nevada Research Institute and School of Engineering, University of California, Merced, CA, United States; Department of Environmental Sciences, Policy and Management, University of California, Berkeley, CA 94720-3114, United States; University of California, Division of Agriculture and Natural Resources, United States; USDA Forest Service, Pacific Southwest Research Station, Davis, CA 95418, United States; Center for Fire Research and Outreach, University of California at Berkeley, Berkeley, CA 94720, United States; University of Chinese Academy of Sciences, No. 19A Yuquan Road, Beijing, 100049, China
推荐引用方式 GB/T 7714	Hu T.,Ma Q.,Su Y.,et al. A simple and integrated approach for fire severity assessment using bi-temporal airborne LiDAR data[J],2019,78.
APA	Hu T..,Ma Q..,Su Y..,Battles J.J..,Collins B.M..,...&Guo Q..(2019).A simple and integrated approach for fire severity assessment using bi-temporal airborne LiDAR data.International Journal of Applied Earth Observation and Geoinformation,78.
MLA	Hu T.,et al."A simple and integrated approach for fire severity assessment using bi-temporal airborne LiDAR data".International Journal of Applied Earth Observation and Geoinformation 78(2019).