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DOI10.1016/j.rse.2020.111853
A multi-sensor, multi-scale approach to mapping tree mortality in woodland ecosystems
Campbell M.J.; Dennison P.E.; Tune J.W.; Kannenberg S.A.; Kerr K.L.; Codding B.F.; Anderegg W.R.L.
发表日期2020
ISSN00344257
卷号245
英文摘要Woodland ecosystems, dominant on nearly 4% of all terrestrial land globally, are faced with a variety of threats, including increasingly prolonged and severe droughts, invasive insect outbreaks, and the rapid spread of pathogens. While many remote sensing methods have been developed for the detection and quantification of mortality in forested environments, woodland ecosystems present unique challenges to accurately mapping tree die-off due to relatively lower canopy covers, smaller and irregularly-shaped tree crowns, and greater influence of understory vegetation and soil cover on reflectance. To address these challenges, we developed a multi-sensor, multi-scale approach combining the analytical strengths of centimeter-resolution unmanned aerial system imagery for interpreting individual tree-level mortality, airborne lidar for crown mapping and quantifying percent canopy mortality, and Landsat imagery for upscaling mortality estimates to a regional scale. This approach utilizes a new algorithm for delineating the shapes of small, irregular woodland tree crowns using lidar. To demonstrate the application of this method, we map the extent and severity of a recent tree mortality event in piñon-juniper (PJ) woodlands of southeastern Utah. Our results suggest that 39% of PJ in this region has experienced some level of mortality, with patches exceeding 50% mortality. An analysis of potential mortality drivers revealed that canopy cover, terrain, and recent winter precipitation conditions are most directly linked with mortality, although the explanatory power of the mortality driver model was low. Our approach demonstrates a methodology that could be used for tree mortality mapping and scaling in a variety woodland ecosystems, and can provide a strong basis for further ecophysiological, ecological, and carbon cycle studies involving woodland tree mortality. © 2020 Elsevier Inc.
英文关键词Drone; Juniper; Land cover change; Landsat; Lidar; Pinyon; Piñon; Tree mortality; UAS; UAV; Woodland
语种英语
scopus关键词Antennas; Ecosystems; Mapping; Optical radar; Remote sensing; Soils; Detection and quantifications; Explanatory power; Forested environment; Insect outbreaks; Multi-scale approaches; Understory vegetation; Unmanned aerial systems; Winter precipitation; Forestry; algorithm; carbon cycle; ecophysiology; Landsat; lidar; mortality; remote sensing; satellite imagery; soil cover; understory; woodland; United States; Utah; Hexapoda; Juniperus; Pinus edulis
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/179314
作者单位Department of Geosciences, Fort Lewis College, 1000 Rim Drive, Durango, CO 81301, United States; Department of Geography, University of Utah, 260 Central Campus Drive, Salt Lake City, UT 84112, United States; Department of Anthropology, Fort Lewis College, 1000 Rim Drive, Durango, CO 81301, United States; School of Biological Sciences, University of Utah, 257 South 1400 East, Salt Lake City, UT 84112, United States; Department of Anthropology, University of Utah, 260 Central Campus Drive, Salt Lake City, UT 84112, United States
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Campbell M.J.,Dennison P.E.,Tune J.W.,et al. A multi-sensor, multi-scale approach to mapping tree mortality in woodland ecosystems[J],2020,245.
APA Campbell M.J..,Dennison P.E..,Tune J.W..,Kannenberg S.A..,Kerr K.L..,...&Anderegg W.R.L..(2020).A multi-sensor, multi-scale approach to mapping tree mortality in woodland ecosystems.Remote Sensing of Environment,245.
MLA Campbell M.J.,et al."A multi-sensor, multi-scale approach to mapping tree mortality in woodland ecosystems".Remote Sensing of Environment 245(2020).
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