Skip to main content

The Significance of Spatial Resolution: Identifying Forest Cover from Satellite Data

Buy Article:

$29.50 plus tax (Refund Policy)

Abstract:

The objective of this study was to determine if decreasing pixel size increases overall accuracy with which forest species can be separated using satellite data. Classification accuracy achieved with Landsat Thematic Mapper (TM) channels 2, 3, and 4 were compared with results from SPOT-XS. Reference data prepared from enlarged prints of aerial photographs and field checks included 19 cover types, nine of which were coniferous. Results with SPOT-XS alone yielded an overall accuracy of 70.1 percent, and with Landsat TM 57.1 percent at species level. Overall accuracy increased by 3 percent when either SPOT-XS or Landsat TM data were integrated with SPOT-PAN data.

Keywords: biometrics; environmental management; forest; forest management; forest resources; forestry; forestry research; forestry science; land use; natural resource management; natural resources; remote sensing

Document Type: Miscellaneous

Affiliations: 1: Forester USDA Forest Service, Savannah River, PO Box 700 Ellenton, SC, 29809, dsalajanu@fs.fed.us 2: Professor Emeritus School of Natural Resources and Environment, University of Michigan, Ann Arbor

Publication date: 2001-06-01

More about this publication?
  • The Journal of Forestry is the most widely circulated scholarly forestry journal in the world. In print since 1902, the Journal has received several national awards for excellence. The mission of the Journal of Forestry is to advance the profession of forestry by keeping forest management professionals informed about significant developments and ideas in the many facets of forestry: economics, education and communication, entomology and pathology, fire, forest ecology, geospatial technologies, history, international forestry, measurements, policy, recreation, silviculture, social sciences, soils and hydrology, urban and community forestry, utilization and engineering, and wildlife management. The Journal is published bimonthly: January, March, May, July, September, and November.

    2015 Impact Factor: 1.476
    Ranking: 22 of 66 in forestry

    Also published by SAF:
    Forest Science
    Other SAF Publications
  • Submit a Paper
  • Membership Information
  • Author Guidelines
  • Podcasts
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free ContentFree content
  • Partial Free ContentPartial Free content
  • New ContentNew content
  • Open Access ContentOpen access content
  • Partial Open Access ContentPartial Open access content
  • Subscribed ContentSubscribed content
  • Partial Subscribed ContentPartial Subscribed content
  • Free Trial ContentFree trial content
Cookie Policy
X
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