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Xiang et al., 2024 - Google Patents

Automated forest inventory: Analysis of high-density airborne LiDAR point clouds with 3D deep learning

Xiang et al., 2024

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Document ID
763754649993970591
Author
Xiang B
Wielgosz M
Kontogianni T
Peters T
Puliti S
Astrup R
Schindler K
Publication year
Publication venue
Remote Sensing of Environment

External Links

Snippet

Detailed forest inventories are critical for sustainable and flexible management of forest resources, to conserve various ecosystem services. Modern airborne laser scanners deliver high-density point clouds with great potential for fine-scale forest inventory and analysis, but …
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Classifications

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