气候变化领域集成服务门户(CCPortal): Airborne lidar provides reliable estimates of canopy base height and canopy bulk density in southwestern ponderosa pine forests

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DOI	10.1016/j.foreco.2020.118695
	Airborne lidar provides reliable estimates of canopy base height and canopy bulk density in southwestern ponderosa pine forests
	Chamberlain C.P.; Sánchez Meador A.J.; Thode A.E.
发表日期	2021
ISSN	0378-1127
卷号	481
英文摘要	Accurate estimates of canopy base height (CBH) and canopy bulk density (CBD) are critical inputs for many fire modeling and simulation programs. Commonly used LANDFIRE estimates of CBH and CBD are only available at 30 m resolution and have relatively low accuracy, and traditional field-based estimates can lead to inaccurate spatial estimates by assuming averages across spatial extents. Discrete-return airborne light detection and ranging (lidar) has become increasingly common in forestry applications, with demonstrated success in measuring canopy metrics and forest structure across broad landscapes and varied forest types. However, few studies have investigated the potential of airborne lidar for estimating these metrics in southwestern forests. This study developed an approach for estimating CBH and CBD using airborne lidar data and evaluated the accuracy of estimates at 20 m resolution. We also evaluated the predicted accuracy between managed and unmanaged forest stands. We employed a quantile-based method to derive CBH and utilized the Fire and Fuels Extension of the Forest Vegetation Simulator to estimate CBD from a lidar-derived tree list. Our results indicate that airborne lidar produced more accurate estimates of both CBH (R2 = 0.4; RMSE = 1.25 m) and CBD (R2 = 0.76; RMSE = 0.021 kg−3) as compared to LANDFIRE and other regional remote-sensing based estimates. We also report that airborne lidar is more accurate at estimating CBH in unmanaged stands versus managed stands, but CBD estimates maintain similar accuracy regardless of management history. Compared to methods developed in other regions, our approach resulted in relatively low R2 values, but our RMSE values were found to be similar or slightly improved. Our approach for deriving both metrics are conceptually and computationally simple making them especially valuable for use by land managers and ecologists alike. This study provides clear evidence that airborne lidar can be used to derive broad-scale, fine-resolution fuel data layers, which are commonly required in fire modeling and forest management activities and decision-making. © 2020 Elsevier B.V.
英文关键词	Canopy fuel metrics; Fire simulation; Individual-tree segmentation; Lidar; lidR; Southwestern US
语种	英语
scopus关键词	Decision making; Forestry; Remote sensing; Airborne lidar data; Canopy bulk densities; Forest vegetation simulator; Forestry applications; Light detection and ranging; Management activities; Management history; Ponderosa pine forest; Optical radar; accuracy assessment; airborne sensing; bulk density; canopy architecture; coniferous forest; forest management; land management; lidar; remote sensing; Accuracy; Bulk Density; Decision Making; Estimates; Fires; Forestry; Remote Sensing; Resolution
来源期刊	Forest Ecology and Management
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/154811
作者单位	Ecological Restoration Institute, Northern Arizona University, Flagstaff, AZ 86011-5017, United States; School of Forestry, Northern Arizona University, Flagstaff, AZ 86011-5017, United States
推荐引用方式 GB/T 7714	Chamberlain C.P.,Sánchez Meador A.J.,Thode A.E.. Airborne lidar provides reliable estimates of canopy base height and canopy bulk density in southwestern ponderosa pine forests[J],2021,481.
APA	Chamberlain C.P.,Sánchez Meador A.J.,&Thode A.E..(2021).Airborne lidar provides reliable estimates of canopy base height and canopy bulk density in southwestern ponderosa pine forests.Forest Ecology and Management,481.
MLA	Chamberlain C.P.,et al."Airborne lidar provides reliable estimates of canopy base height and canopy bulk density in southwestern ponderosa pine forests".Forest Ecology and Management 481(2021).