Improving extraction of forest canopy height through reprocessing ICESat-2 ATLAS and GEDI data in sparsely forested plain regions

Improving extraction of forest canopy height through reprocessing ICESat-2 ATLAS and GEDI data in sparsely forested plain regions

Forest canopy height (FCH) is one of the most important variables for carbon stock estimation. While many studies have focused on extracting FCH from spaceborne LiDAR in regions with spatially continuous and large patch sizes of forested lands, limited research has addressed the challenges of FCH ex...

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Bibliographic Details
Main Authors: Ruoqi Wang, Yagang Lu, Dengsheng Lu, Guiying Li
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:GIScience & Remote Sensing
Subjects:
Forest canopy height
plain region
ICESAT-2 ATLAS
photon denoising and reclassification
GEDI
geolocation error correction
Online Access:https://www.tandfonline.com/doi/10.1080/15481603.2024.2396807

Internet

https://www.tandfonline.com/doi/10.1080/15481603.2024.2396807

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