HAL (France)
open access
Bi-temporal LiDAR-based estimates of stand variables reduce growth modelling costs in even-aged Larix olgensis A. Henry plantations
AbstractKey messageWe developed a dynamic stand-level growth and yield model using bi-temporal UAV LiDAR data to support forest management and planning. This approach aims to reduce the cost and intensity of ground-based inventories by using low-cost UAV LiDAR as an alternative data source.ContextGr
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