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Proceedings of the First Annual UW GIS Symposium: Characterizing Spotted Owl Habitat with LiDAR

Proceedings of the First Annual UW GIS Symposium
Characterizing Spotted Owl Habitat with LiDAR
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Notes

table of contents
  1. Cover
  2. Title Page
  3. Contributors
  4. Contents
  5. Preface
  6. Lightning Talks
    1. Characterizing Spotted Owl Habitat with LiDAR
    2. Utilizing Data-Planet Datasets in ArcMap
    3. Workflow of Shallow-Water Hydrographic Mapping: Acquisition to Post-Processing
    4. UW eScience Geohackweek
    5. The Conservation Value of Place-Based Subsistence Mapping in Northwest Alaska
    6. A Platform for Managing River Surveys in GIS
    7. Swarm ASV Drifters
    8. Built Environment and Behavior: An Approach Based on Objective Data
  7. Posters
    1. Trash Talk: Optimal Urban Waste Design
    2. GNSS Location Accuracy
    3. Interactive Space Assessment in Tableau
    4. 210Pb Geochronology
    5. Evaluating the Expansion of Bike Share in Seattle
    6. Species Distribution and Land Use
    7. Evaluating Video Documentation as a Method for Monitoring Ecosystem Change
    8. Marine GIS
    9. Possible River and Ocean Locations on Mars’ Surface

Characterizing Spotted Owl Habitat with LiDAR

Jonathan Kane, School of Environmental and Forest Sciences

We used LiDAR in four California national forests with Spotted Owl habitat studies to characterize the forests in Owl territories and contrast them with the overall landscape. We found that the owls select for high density of tall trees near their nest, and high cover and tall trees in their core area, but do not seem to select for forest structure in the rest of their territory.

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