Landscape Scale Assessment of Predominant Pine Canopy Height for Red-cockaded Woodpecker Habitat Assessment Using Light Detection and Ranging (LIDAR) Data

Abstract

Use of spatially explicit Red-cockaded Woodpecker (RCW) population models to determine the habitat potential and conservation value of land parcels requires coupling of such models with actual landscape features on the ground. Development of spatially explicit maps that characterize forest metrics across a regional or landscape scale with Light Detection and Ranging (LIDAR) data is cost prohibitive, both in terms of data acquisition and analysis. Small scale, regional assessment of RCW habitat potential must be completed using regional, statewide, or national scale remotely sensed data sources. Therefore, assessment of forest structure at regional scales requires the use of larger footprint, lower sampling density LIDAR data and coarser resolution multispectral imagery. This research demonstrates the use of multispectral imagery and LIDAR data on a statewide and national scale to estimate mean predominant stand height for pine forest stands in the regions surrounding Fort Bragg, NC and Camp Lejeune, NC.

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Document Details

Document Type
Technical Report
Publication Date
Mar 26, 2011
Accession Number
ADA544184

Entities

People

  • Douglas Newcomb
  • Scott A. Tweddale

Organizations

  • Construction Engineering Research Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Acquisition
  • Birds
  • Cells
  • Data Acquisition
  • Data Processing
  • Decision Support Systems
  • Department Of Homeland Security
  • Detection
  • Engineering
  • Geographic Information Systems
  • Geographic Regions
  • Habitats
  • Information Systems
  • Lidar
  • North Carolina
  • Remote Sensing
  • Terrain Models

Fields of Study

  • Environmental science

Readers

  • Atmospheric Remote Sensing.
  • Coastal and Marine Engineering/Sediment Transport/Hydraulic Engineering
  • Computer Vision.