气候变化领域集成服务门户(CCPortal): Estimating the overstory and understory vertical extents and their leaf area index in intensively managed loblolly pine (Pinus taeda L.) plantations using airborne laser scanning

CCPortal

DOI	10.1016/j.rse.2020.112250
	Estimating the overstory and understory vertical extents and their leaf area index in intensively managed loblolly pine (Pinus taeda L.) plantations using airborne laser scanning
	Sumnall M.J.; Trlica A.; Carter D.R.; Cook R.L.; Schulte M.L.; Campoe O.C.; Rubilar R.A.; Wynne R.H.; Thomas V.A.
发表日期	2021
ISSN	00344257
卷号	254
英文摘要	Data from four discrete-return airborne laser scanning (ALS) acquisitions and three different sensor types across seven experimentally varied loblolly pine (Pinus taeda L.) plantations were used to test published and novel methodologies in quantifying forest structural attributes within stands, including height to live crown (HTLC; i.e. the lowest vertical canopy extent) of the canopy and the contributions to total plot-level leaf area from understory and overstory canopy vegetation. These ALS data were compared to in situ field measurements to develop ALS-based predictive models of these attributes. The correlation between field- and ALS-modeled HTLC data was strong, with an R2 of 0.79 (p < 0.001). We assessed the ability of eight lidar light penetration indices to estimate effective leaf area index (eLAI) in the field. The best predictor of total (sum of understory and overstory) eLAI produced an R2 of 0.88 (p < 0.001). The independent contributions of overstory and understory components could also be accurately predicted by ALS-derived canopy-only eLAI metrics (R2 = 0.71; p < 0.001) and understory-only metrics (R2 = 0.49; p < 0.001). Two new indices, calculated as the sum of return intensity for each foliar layer and correcting for transmission losses, were developed specifically for the vertical strata related to the understory (BLunder) or overstory (BLover). The estimates from BLover were equivalent to the best-performing indices for predicting canopy-only eLAI and the corresponding BLunder was superior to other indices for understory eLAI. The broad spatial and temporal extents of the data, as well as the inclusion of pine plantations with differing stand ages, planting densities, understory control, and thinning treatments, suggest the relationships generated from these methods are robust to site and seasonal variability. The results produced from the analysis of multiple acquisitions implies that the methods presented here are transferable across location, time and sensor design, without implementation-specific calibration, at least for structurally similar loblolly pine plantations. © 2020 Elsevier Inc.
英文关键词	Competition; LAI; Lidar; Loblolly pine; Overstory; Precision forestry; Remote sensing; Silviculture; Understory
语种	英语
scopus关键词	Laser applications; Predictive analytics; Airborne Laser scanning; Forest structural attributes; Independent contributions; Loblolly pine (pinus taeda l.); Loblolly pine plantations; Multiple acquisitions; Seasonal variability; Thinning treatment; Forestry; airborne sensing; airborne sensor; canopy architecture; design method; laser method; leaf area index; lidar; pine; thinning; understory; Pinus taeda
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/178996
作者单位	Department of Forest Resources and Environmental Conservation, Virginia Polytechnic Institute and State University, 228 Cheatham Hall (Mail Code: 0324), Blacksburg, VA 24061, United States; Department of Forestry and Environmental Resources, North Carolina State University, 2800 Faucette (Campus Box 8008 Dr), Raleigh, NC 27695, United States; Universidade Federal de Lavras, Lavras, MG, Brazil; Cooperativa de Productividad Forestal, Departamento de Silvicultura, Facultad de Ciencias Forestales, Universidad de Concepción, Victoria 631, Casilla 160-C, Concepción, Chile
推荐引用方式 GB/T 7714	Sumnall M.J.,Trlica A.,Carter D.R.,et al. Estimating the overstory and understory vertical extents and their leaf area index in intensively managed loblolly pine (Pinus taeda L.) plantations using airborne laser scanning[J],2021,254.
APA	Sumnall M.J..,Trlica A..,Carter D.R..,Cook R.L..,Schulte M.L..,...&Thomas V.A..(2021).Estimating the overstory and understory vertical extents and their leaf area index in intensively managed loblolly pine (Pinus taeda L.) plantations using airborne laser scanning.Remote Sensing of Environment,254.
MLA	Sumnall M.J.,et al."Estimating the overstory and understory vertical extents and their leaf area index in intensively managed loblolly pine (Pinus taeda L.) plantations using airborne laser scanning".Remote Sensing of Environment 254(2021).