Mapping global forest canopy height through integration of GEDI and Landsat data

REMOTE SENSING OF ENVIRONMENT

卷:253

Article

Potapov, Peter¹  Li, Xinyuan¹  Hernandez-Serna, Andres¹  Tyukavina, Alexandra¹  Hansen, Matthew C.¹  Kommareddy, Anil¹  Pickens, Amy¹  Turubanova, Svetlana¹  Tang, Hao¹  Silva, Carlos Edibaldo¹  Armston, John¹  Dubayah, Ralph¹  Blair, J. Bryan²  Hofton, Michelle¹ 

[1] Univ Maryland, Dept Geog Sci, LeFrak Hall,7251 Preinkert Dr, College Pk, MD 20742 USA

[2] NASA, Goddard Space Flight Ctr, Greenbelt, MD USA

关键词: GEDI;    Landsat;    Lidar;    Forest height;    Forest monitoring;    Time-series;   

DOI  :  10.1016/j.rse.2020.112165

来源: Elsevier

【 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, R-2 = 0.62) and available airborne lidar data (RMSE = 9.07 m; MAE = 6.36 m, R-2 = 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.

【 授权许可】

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