Table of Contents
Forests, Volume 10, Issue 6 (June 2019)
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Cover Story (view full-size image) Coarse woody debris (CWD) is a vital element of forest ecosystems. However, there is a lack of [...] Read more. Coarse woody debris (CWD) is a vital element of forest ecosystems. However, there is a lack of effective tools for identifying and mapping both standing (snags) and downed (logs) CWD in complex natural settings. We applied a classifier using spectral, spatial and structural predictor variables to detect CWD in very detailed aerial imagery from a disturbed boreal forest in Northern Alberta, Canada. The CWD detection rate was 93.4% within the training area and 80.6% when the previously trained classifier was applied to a nearby forest area with no training samples within. The addition of LiDAR-derived structural variables improved the distinction between logs and snags. Foresters and researchers interested in CWD can take advantage of these methods to produce accurate maps of logs and snags that can guide habitat assessments and restoration efforts. View this paper