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

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Improving extraction of forest canopy height through reprocessing ICESat-2 ATLAS and GEDI data in sparsely forested plain regions
GIScience & Remote Sensing ( IF 6.0 ) Pub Date : 2024-08-27 , DOI: 10.1080/15481603.2024.2396807
Ruoqi Wang _{1,

2} , Yagang Lu ₃ , Dengsheng Lu _{1,

2} , Guiying Li _{1,

2}

Affiliation

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 cont...

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