Estimating Forest Canopy Height based on GEDI Lidar Data and Multi-source Remote Sensing Images

Lei, Yuqi; Wang, Yuanjia; Wang, Guilong; Song, Chengwen; Cao, Hui; Xiao, Wen

doi:https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-297-2024

Articles | Volume XLVIII-1-2024

https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-297-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-297-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume XLVIII-1-2024

10 May 2024

| 10 May 2024

Estimating Forest Canopy Height based on GEDI Lidar Data and Multi-source Remote Sensing Images

Yuqi Lei, Yuanjia Wang, Guilong Wang, Chengwen Song, Hui Cao, and Wen Xiao

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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 1097–1104, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1097-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1097-2023, 2023

The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.

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