Skip to main content

A Per-Segment Approach to Improving Aspen Mapping from High-Resolution Remote Sensing Imagery

The full text article is temporarily unavailable.

We apologise for the inconvenience. Please try again later.

Aspen (Populus tremuloides) stands on Winter Ridge in central Oregon were mapped from remote sensing imagery utilizing a per-segment approach. A 1-meter color infrared (CIR) image was segmented based on its hue and saturation values to generate aspen “candidates,” which were then classified to show aspen coverage according to the mean values of multiresolution texture and spectral reflectance within the segments. With three broad categories for aspen distribution, overall accuracy was 88 percent, with K-hat statistics of 82 percent. The classification method holds promise for more detailed mapping of aspen from fine-resolution satellite imagery.
No References
No Citations
No Supplementary Data
No Article Media
No Metrics

Keywords: GIS; environmental management; forest; forest management; forest resources; forestry; forestry research; forestry science; geospatial technologies; natural resource management; natural resources; remote sensing

Document Type: Miscellaneous

Affiliations: 1: PhD Candidate Department of Geosciences, Oregon State University, 104 Wilkinson Hall, Corvallis, OR, 97331, [email protected] 2: Associate Professor Department of Geography, University of North Alabama, Florence, 3: Professor Department of Geosciences, Oregon State University, Corvallis, 4: President Spatial-Solutions, Inc., Bend, Oregon,

Publication date: 01 June 2003

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more