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Evaluating LiDAR Data Sources, Predictor Resolution, and Spatial Random Effects in Bayesian Change-of-Support Models for Forest Inventory

Spitta, Arthur et al.
arXiv (All) · Papers
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Forest managers require timely stand-level information for operational planning. Model-based estimation combines sparse field samples with remotely sensed auxiliary data to estimate growing stock volume (GSV) for small-area units. This is particularly relevant in mixed-species and structurally heter
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