Sample strategies for bias correction of regional LiDAR-assisted forest inventory Estimates on small woodlots
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DOI: 10.1007/s13595-020-00976-8
Abstract: This study presents an easy-to-apply variable probability sample design that is an efficient and cost-effective method to correct for local bias in regional LiDAR-assisted forest inventory estimates. This design is especially useful for small woodlot… read more here.
Keywords: cost effective; inventory estimates; forest inventory; regional lidar ... See more keywords