Spaceborne LiDAR footprint-level AGB estimation and mapping across forest types using multisource remote sensing and U-Net

Spaceborne light detection and ranging (LiDAR), including ICESat-2 and GEDI, supports large-scale forest aboveground biomass (AGB) mapping, but accurate estimation across heterogeneous forest types remains challenging. This study developed forest-type-specific footprint-level AGB equations using ICE...

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Hlavní autoři:	Chu Wang, Kaisen Ma, Ming Chen, Yifeng Hong, Jiaming Xu, Hua Sun
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Taylor & Francis Group 2026-12-01
Edice:	International Journal of Digital Earth
Témata:	GEDI ICESat-2 forest aboveground biomass mapping footprint-level AGB U-Net
On-line přístup:	https://www.tandfonline.com/doi/10.1080/17538947.2026.2706251
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