Using Geospatial Tools to Assess the Urban Tree Canopy: Decision Support for Local Governments
Abstract:Urban forests provide many benefits, but many localities continue to experience a slow, steady decline in urban tree canopy (UTC). UTC assessment is essential for managing urban forests. However, quantifying UTC is difficult because ground-based assessments are (1) expensive, (2) hampered by difficulties accessing private property, and (3) conducted less frequently than the pace of canopy change. Remote sensing provides a viable alternative for UTC assessment, but many communities lack human or financial resources to perform frequent, accurate UTC assessments using remotely sensed data. Virginia's UTC program provides a model for canopy assessment in such communities by providing baseline data at 90% accuracy using publicly available, four-band, 1-m spatial-resolution imagery. With these baseline UTC data, communities can accurately determine (1) the distribution of current canopy cover, (2) whether canopy goals are being met, and (3) areas where canopy could be increased or better managed to support ecosystem services such as storm water mitigation and energy savings. A case study of UTC assessment in Winchester, Virginia, is presented.
Document Type: Research Article
Publication date: July 1, 2012
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- 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
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