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- W4313166175 abstract "Lidar remote sensing represents one of the best ways to measure ground and tree height in large-scale area and reach United Nations Sustainable Goal #15 for forest management, protection, and restoration. Spaceborne GEDI lidar raw data have been treated and applied to a French forest area. Tree height has been directly measured in this complex woody and sloping area despite the global GEDI characteristics of 25-m x-y footprint. This first proof of concept gives encouraging tree height estimates up to 27 m, validated, for some of the trees, during a field campaign. Above-Ground-Biomass (AGB) estimates, reaching up to 150 T/ha, could not be validated at this stage of the study but showed consistent values with the literature. Further studies will have to focus on larger forest area for nature-based solution businesses of carbon sequestration in forest improving AGB estimates and merging lidar with multispectral or radar data." @default.
- W4313166175 created "2023-01-06" @default.
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- W4313166175 date "2022-07-17" @default.
- W4313166175 modified "2023-09-23" @default.
- W4313166175 title "Biomass Quantification in Forest: a Review and Use Case with Gedi Lidar Data" @default.
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- W4313166175 doi "https://doi.org/10.1109/igarss46834.2022.9884141" @default.
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