Evidence map›Paper›PMID 40182558›Full record

ArticleFrontiers in plant science2025

Accuracy assessment of topography and forest canopy height in complex terrain conditions of Southern China using ICESat-2 and GEDI data.

Lianjin Fu, Qingtai Shu, Zhengdao Yang, Cuifen Xia, Xiao Zhang, Yiran Zhang, Zeyu Li, Shengjiao Li

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Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Lianjin FuCollege of Soil and Water Conservation, Southwest Forestry University, Kunming, China.
Qingtai ShuCollege of Forestry, Southwest Forestry University, Kunming, China.
Zhengdao YangForestry Bureau of Jianhe County, Qiandongnan, Guizhou, China.
Cuifen XiaCollege of Forestry, Southwest Forestry University, Kunming, China.
Xiao ZhangCollege of Soil and Water Conservation, Southwest Forestry University, Kunming, China.
Yiran ZhangCollege of Soil and Water Conservation, Southwest Forestry University, Kunming, China.
Zeyu LiCollege of Soil and Water Conservation, Southwest Forestry University, Kunming, China.
Shengjiao LiCollege of Surveying and Mapping and Information Engineering, West Yunnan University of Applied Sciences, Dali, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

forest canopy heightGEDIground elevationICESat-2slope

Identifiers

PMID40182558
PMCPMC11965696

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.