Estimating Coarse Woody Debris Volume Using Image Analysis and Multispectral LiDAR

Published: Jan 24, 2020
Description: We demonstrate a novel strategy for mapping CWD volume across a 4300-hectare study area in the boreal forest of Alberta, Canada using optical imagery and an infra-canopy vegetation-index layer derived from multispectral aerial LiDAR.
Document Type: Peer-reviewed Publications - ABMI-authored
Subject Area: Mapping, Remote Sensing, Boreal Region
Tags: coarse woody debris, boreal forest, remote sensing, LiDAR, machine learning
Citation: Alberta Biodiversity Monitoring Institute. 2020. Estimating Coarse Woody Debris Volume Using Image Analysis and Multispectral LiDAR. Available at: https://abmi.ca/publication/563.html
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Document Type: Peer-reviewed Publications - ABMI-authored
Subject Area: Mapping, Remote Sensing, Boreal Region
Tags: coarse woody debris, boreal forest, remote sensing, LiDAR, machine learning
Citation: Alberta Biodiversity Monitoring Institute. 2020. Estimating Coarse Woody Debris Volume Using Image Analysis and Multispectral LiDAR. Available at: https://abmi.ca/publication/563.html
Share this publication