Assessment and improvement of GEDI canopy height estimation in tropical and temperate forests

The Global Ecosystem Dynamics Investigation (GEDI) relative height product provides 25 m diameter footprint information that can be used to estimate canopy height but with variably reported accuracy. A methodology is presented to improve the GEDI canopy height accuracy using coincident Airborne Laser Scanner (ALS) data. The GEDI canopy height for each footprint is surface adjusted by adding the residual difference between the GEDI ground elevation estimate and coincident footprint ALS digital terrain model (DTM) value, and then calibrated using site-level additive offsets derived by Theil-Sen regression with coincident footprint ALS canopy height model (CHM) data. The approach is demonstrated at a tropical evergreen lowland forest site in the Democratic Republic of Congo (MNDP), a temperate pine and hardwood forest site in Alabama (TALL), and a temperate mix-species forest site in Maryland (SERC). The GEDI canopy height accuracy is first quantified by comparison with ALS CHM data to provide a baseline. The methodology improved the root mean squared error (RMSE) from 7.5m to 3.4m (MNDP), 5.6m to 3.5m (TALL), and 6.7m to 4.3m (SERC), and improved the relative RMSE from 33.0 % to 14.8 % (MNDP), 27.4 % to 17.3 % (TALL), and 24.9 % to 15.8 % (SERC), for GEDI beam sensitivity ≥0.9, with similar improvements demonstrated for beam sensitivity ≥0.95 and ≥ 0.98. Further accuracy improvements were demonstrated for footprints over homogenous canopies where the simulated impact of GEDI geolocation errors were small, underscoring the need for improved GEDI geolocation. Extrapolation of the methodology to regional or national scale merits further research and is discussed. • GEDI canopy height accuracy assessed using ALS canopy height data. • At 3 sites, central Africa tropical evergreen and 2 U.S. temperate forest sites. • Methodology to improve GEDI canopy height accuracy presented. • Uses ALS DTM and CHM to surface-adjust and calibrate the GEDI heights. • Site rRMSE reduced from 33.0 % to 14.8 %, 27.4 % to 17.3 %, and 24.9 % to 15.8 %.

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Publication Details

Journal
Science of Remote Sensing
Published
2025-03-14
DOI
https://doi.org/10.1016/j.srs.2025.100221
Citations
3
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
Field-Weighted Citation Impact
2.40

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article

Assessment and improvement of GEDI canopy height estimation in tropical and temperate forests

Herve B. Kashongwe, David P. Roy, Meicheng Shen, Myung Sik Cho et al.
3 citations
Science of Remote Sensing
Remote Sensing and LiDAR Applications
2.40
article

Assessment and improvement of GEDI canopy height estimation in tropical and temperate forests

Herve B. Kashongwe, David P. Roy, Meicheng Shen, Myung Sik Cho, Lin Yan
article en
3 citations

Abstract

The Global Ecosystem Dynamics Investigation (GEDI) relative height product provides 25 m diameter footprint information that can be used to estimate canopy height but with variably reported accuracy. A methodology is presented to improve the GEDI canopy height accuracy using coincident Airborne Laser Scanner (ALS) data. The GEDI canopy height for each footprint is surface adjusted by adding the residual difference between the GEDI ground elevation estimate and coincident footprint ALS digital terrain model (DTM) value, and then calibrated using site-level additive offsets derived by Theil-Sen regression with coincident footprint ALS canopy height model (CHM) data. The approach is demonstrated at a tropical evergreen lowland forest site in the Democratic Republic of Congo (MNDP), a temperate pine and hardwood forest site in Alabama (TALL), and a temperate mix-species forest site in Maryland (SERC). The GEDI canopy height accuracy is first quantified by comparison with ALS CHM data to provide a baseline. The methodology improved the root mean squared error (RMSE) from 7.5m to 3.4m (MNDP), 5.6m to 3.5m (TALL), and 6.7m to 4.3m (SERC), and improved the relative RMSE from 33.0 % to 14.8 % (MNDP), 27.4 % to 17.3 % (TALL), and 24.9 % to 15.8 % (SERC), for GEDI beam sensitivity ≥0.9, with similar improvements demonstrated for beam sensitivity ≥0.95 and ≥ 0.98. Further accuracy improvements were demonstrated for footprints over homogenous canopies where the simulated impact of GEDI geolocation errors were small, underscoring the need for improved GEDI geolocation. Extrapolation of the methodology to regional or national scale merits further research and is discussed. • GEDI canopy height accuracy assessed using ALS canopy height data. • At 3 sites, central Africa tropical evergreen and 2 U.S. temperate forest sites. • Methodology to improve GEDI canopy height accuracy presented. • Uses ALS DTM and CHM to surface-adjust and calibrate the GEDI heights. • Site rRMSE reduced from 33.0 % to 14.8 %, 27.4 % to 17.3 %, and 24.9 % to 15.8 %.

Science of Remote SensingVol. 11
Michigan State University (US)
National Aeronautics and Space Administration
Climate action
Openalex Percentile: Top 13%
Remote Sensing and LiDAR Applications
2.40
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