气候变化领域集成服务门户(CCPortal): Mapping global forest canopy height through integration of GEDI and Landsat data

CCPortal

DOI	10.1016/j.rse.2020.112165
	Mapping global forest canopy height through integration of GEDI and Landsat data
	Potapov P.; Li X.; Hernandez-Serna A.; Tyukavina A.; Hansen M.C.; Kommareddy A.; Pickens A.; Turubanova S.; Tang H.; Silva C.E.; Armston J.; Dubayah R.; Blair J.B.; Hofton M.
发表日期	2021
ISSN	00344257
卷号	253
英文摘要	Consistent, large-scale operational monitoring of forest height is essential for estimating forest-related carbon emissions, analyzing forest degradation, and quantifying the effectiveness of forest restoration initiatives. The Global Ecosystem Dynamics Investigation (GEDI) lidar instrument onboard the International Space Station has been collecting unique data on vegetation structure since April 2019. Here, we employed global Landsat analysis-ready data to extrapolate GEDI footprint-level forest canopy height measurements, creating a 30 m spatial resolution global forest canopy height map for the year 2019. The global forest height map was compared to the GEDI validation data (RMSE = 6.6 m; MAE = 4.45 m, R2 = 0.62) and available airborne lidar data (RMSE = 9.07 m; MAE = 6.36 m, R2 = 0.61). The demonstrated integration of GEDI data with time-series optical imagery is expected to enable multidecadal historic analysis and operational forward monitoring of forest height and its dynamics. Such capability is important to support global climate and sustainable development initiatives. © 2020 Elsevier Inc.
英文关键词	Forest height; Forest monitoring; GEDI; Landsat; Lidar; Time-series
语种	英语
scopus关键词	Conservation; Data integration; Optical radar; Space stations; Time series analysis; Airborne lidar data; Ecosystem dynamics; Forest degradation; Forest restoration; International Space stations; Operational monitoring; Spatial resolution; Vegetation structure; Forestry; forest canopy; global change; global climate; height; instrumentation; Landsat; lidar; mapping method; model validation; satellite data
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/179049
作者单位	Department of Geographical Sciences, University of Maryland, United States; NASA Goddard Space Flight Center, United States
推荐引用方式 GB/T 7714	Potapov P.,Li X.,Hernandez-Serna A.,et al. Mapping global forest canopy height through integration of GEDI and Landsat data[J],2021,253.
APA	Potapov P..,Li X..,Hernandez-Serna A..,Tyukavina A..,Hansen M.C..,...&Hofton M..(2021).Mapping global forest canopy height through integration of GEDI and Landsat data.Remote Sensing of Environment,253.
MLA	Potapov P.,et al."Mapping global forest canopy height through integration of GEDI and Landsat data".Remote Sensing of Environment 253(2021).