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Mapping forest canopy height globally with spaceborne lidar

Simard, Marc, Pinto, Naiara, Fisher, Joshua B., Baccini, Alessandro·2011·Journal of Geophysical Research

Abstract

[1] Data from spaceborne light detection and ranging (lidar) opens the possibility to map forest vertical structure globally. We present a wall-to-wall, global map of canopy height at 1-km spatial resolution, using 2005 data from the Geoscience Laser Altimeter System (GLAS) aboard ICESat (Ice, Cloud, and land Elevation Satellite). A challenge in the use of GLAS data for global vegetation studies is the sparse coverage of lidar shots (mean = 121 data points/degree2 for the L3C campaign). However, GLAS-derived canopy height (RH100) values were highly correlated with other, more spatially dense, ancillary variables available globally, which allowed us to model global RH100 from forest type, tree cover, elevation, and climatology maps. The difference between the model predicted RH100 and footprint level lidar-derived RH100 values showed that error increased in closed broadleaved forests such as the Amazon, underscoring the challenges in mapping tall (>40 m) canopies. The resulting map was validated with field measurements from 66 FLUXNET sites. The modeled RH100 versus in situ canopy height error (RMSE = 6.1 m, R2 = 0.5; or, RMSE = 4.4 m, R2 = 0.7 without 7 outliers) is conservative as it also includes measurement uncertainty and sub pixel variability within the 1-km pixels. Our results were compared against a recently published canopy height map. We found our values to be in general taller and more strongly correlated with FLUXNET data. Our map reveals a global latitudinal gradient in canopy height, increasing towards the equator, as well as coarse forest disturbance patterns.

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Metadata

Authors
Simard, M., Pinto, N., Fisher, J. B., & Baccini, A.
Venue
Journal of Geophysical Research
Published
2011-11-19
Volume
116
Issue
G4
ISSN
0148-0227 (ISSN-L)
OpenAlex
W1981263865
Cited by
1,292
References
2
FWCI
25.91
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Mapping forest canopy height globally with spaceborne lidar. https://app.cochat.ai/papers/10.1029/2011jg001708
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Simard, M., Pinto, N., Fisher, J. B., & Baccini, A. (2011). Mapping forest canopy height globally with spaceborne lidar. Journal of Geophysical Research. https://doi.org/10.1029/2011jg001708

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