Fine-resolution landscape-scale biomass mapping using a spatiotemporal patchwork of LiDAR coverages

Fine-resolution landscape-scale biomass mapping using a spatiotemporal patchwork of LiDAR coverages

Estimating forest aboveground biomass (AGB) at large scales and fine spatial resolutions has become increasingly important for greenhouse gas accounting, monitoring, and verification efforts to mitigate climate change. Airborne LiDAR is highly valuable for modeling attributes of forest structure inc...

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Bibliographic Details
Main Authors: Lucas K. Johnson, Michael J. Mahoney, Eddie Bevilacqua, Stephen V. Stehman, Grant M. Domke, Colin M. Beier
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Airborne LiDAR
Aboveground biomass
Machine learning
Model ensembles
Forest Inventory and Analysis (FIA)
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843222002473

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http://www.sciencedirect.com/science/article/pii/S1569843222002473

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