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• W1821982016 abstract "Multi-spectral imagery and multiple-return light detection and ranging (LIDAR) data were used to assess forest composition and structure for determining habitat suitability for red-cockaded woodpecker (Picoides borealis; RCW). Object-oriented classification of the imagery yielded covertype and distinguished between loblolly (Pinus taeda) and longleaf (Pinus palustris) pine with an accuracy of 80.8% when combining both pine species into one class and 73.7% when classifying pine species separately. The average stem diameter for pine areas was estimated using LiDAR data to identify and estimate individual stem heights. Field-derived height-diameter relationships were used to estimate diameter distribution. LiDAR-estimated mean basal area (BA - square meter/hectare) for canopy trees (14.05 m 2 /ha) and canopy trees in the top quartile of height (7.03 m 2 /ha) was not significantly different from field measurements of basal area for all trees (15.6 m 2 /ha) and top quartile trees (8.05 m 2 /ha) for 69 plots distributed across three sample areas (α = 0.05). The density of midstory/understory hardwoods derived from LIDAR in 4 height strata; 0.5 – 2.1 m, 2.1–4.6 m, 4.6 m to height to live crown (HLC), and canopy, were correlated with field measurements of total cover, resulting in an R 2 of 0.0, 0.26, 0.36 and 0.60 for each stratum, respectively." @default.
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• W1821982016 date "2008-01-01" @default.
• W1821982016 modified "2023-09-26" @default.
• W1821982016 title "Red-cockaded Woodpecker (Picoides borealis) habitat analysis via remote sensing" @default.
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