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<p>Reliable estimation of Tree Canopy Height (TCH) is pivotal for monitoring forest stand dynamics and carbon flux in forest ecosystems. Conventional methods like field surveys, Terrestrial LiDAR, and Airborne LiDAR provide precise measurements but are costly and impractical for large-scale applications. This study integrates Global Ecosystem Dynamics Investigation (GEDI) LiDAR footprints with the Shuttle Radar Topography Mission (SRTM) Digital Surface Model (DSM) to examine changes in TCH within planted mangroves along Bangladesh’s southwestern coast. The SRTM DSM was calibrated to a TCH model for 2000 using a published SRTM-based canopy height model (CHM). Interpolation techniques such as Natural Neighbour (NN), Ordinary Kriging (OK), and Inverse Distance Weighting (IDW) were employed to construct a comprehensive TCH model (TCHM) for 2020 from GEDI LiDAR footprints. TCHM was derived by subtracting the Digital Terrain Model (DTM) from the DSM, excluding urban vertical structures using the ESA World Cover V200 dataset. Results indicate a 19% overall increase in TCH between 2000 and 2020, with increments ranging from 2.5 to 20&#xa0;m, indicating significant accumulation in aboveground biomass (AGB) and suggesting the area likely acted as a carbon sink. Validation revealed strong correlations between observed and GEDI-derived TCH values, with an <i>R²</i> of 0.81 and an <i>RMSE</i> of 2.38&#xa0;m (<i>p</i> &lt; 0.001), confirming GEDI’s effectiveness for TCH estimation. However, challenges such as GEDI data coverage gaps in the study region and SRTM’s limited canopy penetration persist. The GEDI coverage gaps and interpolation uncertainties will incur canopy height accuracy. Findings of this study provide insights into forest ecosystem dynamics and carbon cycling, highlighting the role of GEDI in monitoring terrestrial ecosystems.</p>

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Leveraging GEDI LiDAR and SRTM DSM for estimating temporal changes in tree canopy height

  • 期刊论文

  • 发表日期：

    2026年3月14日

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  • Yaqub Ali,
  • M. Mahmudur Rahman,
  • Mohammad Mosharraf Hossain

摘要

Reliable estimation of Tree Canopy Height (TCH) is pivotal for monitoring forest stand dynamics and carbon flux in forest ecosystems. Conventional methods like field surveys, Terrestrial LiDAR, and Airborne LiDAR provide precise measurements but are costly and impractical for large-scale applications. This study integrates Global Ecosystem Dynamics Investigation (GEDI) LiDAR footprints with the Shuttle Radar Topography Mission (SRTM) Digital Surface Model (DSM) to examine changes in TCH within planted mangroves along Bangladesh’s southwestern coast. The SRTM DSM was calibrated to a TCH model for 2000 using a published SRTM-based canopy height model (CHM). Interpolation techniques such as Natural Neighbour (NN), Ordinary Kriging (OK), and Inverse Distance Weighting (IDW) were employed to construct a comprehensive TCH model (TCHM) for 2020 from GEDI LiDAR footprints. TCHM was derived by subtracting the Digital Terrain Model (DTM) from the DSM, excluding urban vertical structures using the ESA World Cover V200 dataset. Results indicate a 19% overall increase in TCH between 2000 and 2020, with increments ranging from 2.5 to 20 m, indicating significant accumulation in aboveground biomass (AGB) and suggesting the area likely acted as a carbon sink. Validation revealed strong correlations between observed and GEDI-derived TCH values, with an R² of 0.81 and an RMSE of 2.38 m (p < 0.001), confirming GEDI’s effectiveness for TCH estimation. However, challenges such as GEDI data coverage gaps in the study region and SRTM’s limited canopy penetration persist. The GEDI coverage gaps and interpolation uncertainties will incur canopy height accuracy. Findings of this study provide insights into forest ecosystem dynamics and carbon cycling, highlighting the role of GEDI in monitoring terrestrial ecosystems.