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ORIGINAL RESEARCH article

Front. Plant Sci.

Sec. Sustainable and Intelligent Phytoprotection

Volume 16 - 2025 | doi: 10.3389/fpls.2025.1547688

This article is part of the Research Topic Accurate Measurement and Dynamic Monitoring of Forest Parameters View all 3 articles

Accuracy Assessment of Topography and Forest Canopy Height in Complex Terrain Conditions of Southern China Using ICESat-2 and GEDI Data

Provisionally accepted
Lianjin Fu Lianjin Fu 1Qingtai Shu Qingtai Shu 1*Zhengdao Yang Zhengdao Yang 1Cuifen Xia Cuifen Xia 1Xiao Zhang Xiao Zhang 1Yiran Zhang Yiran Zhang 1Zeyu Li Zeyu Li 1Shengjiao Li Shengjiao Li 2
  • 1 Southwest Forestry University, Kunming, China
  • 2 West Yunnan University of Applied Sciences, Dali, Yunnan Province, China

The final, formatted version of the article will be published soon.

    ICESat-2 and GEDI offer unique capabilities for terrain and canopy height retrievals; however, their performance and measurement precision are significantly affected by terrain conditions. Furthermore, differences in data scales complicate direct comparisons of their measurement capabilities. This study evaluates the accuracy of terrain and canopy height retrievals from ICESat-2 and GEDI LiDAR data in complex terrain environments. Jinghong City and Pu'er City in Southwest China were selected as study areas, with high-precision airborne LiDAR data serving as a reference. Ground elevation and canopy height retrieval accuracies were compared before and after scale unification to 30 m × 30 m under varying slope conditions. Results indicate that ICESat-2 shows a significant advantage in terrain height retrieval, with RMSE values of 4.75 m and 4.21 m before and after scale unification, respectively. In comparison, GEDI achieved RMSE values of 4.94 m and 4.96 m. Both systems maintain high accuracy in flat regions, but accuracy declines with increasing slope. For canopy height retrieval, GEDI outperforms ICESat-2. Before scale unification, GEDI achieved an R² of 0.73 with an RMSE of 5.15 m, and after scale unification, an R² of 0.67 with an RMSE of 5.32 m. In contrast, ICESat-2 showed lower performance, with an R² of 0.65 and RMSE of 7.42 m before unification, and an R² of 0.53 with RMSE of 8.29 m after unification. GEDI maintains higher canopy height accuracy across all slope levels. Post-scale unification, both systems show high accuracy in ground elevation retrieval, with ICESat-2 being superior. In contrast, GEDI achieves better canopy height retrieval accuracy. These findings highlight the synergistic strengths of ICESat-2's photon-counting and GEDI's full-waveform LiDAR techniques, demonstrating advancements in satellite laser altimetry for terrain and canopy height retrieval.

    Keywords: GEDI, ICESat-2, Ground elevation, forest canopy height, slope

    Received: 18 Dec 2024; Accepted: 04 Mar 2025.

    Copyright: © 2025 Fu, Shu, Yang, Xia, Zhang, Zhang, Li and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Qingtai Shu, Southwest Forestry University, Kunming, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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