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Perspectives of Maine Forest Cover Change from Landsat Imagery and Forest Inventory Analysis (FIA)

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A forest change detection map was developed to document forest gains and losses during the decade of the 1990s. The effectiveness of the Landsat imagery and methods for detecting Maine forest cover change are indicated by the good accuracy assessment results: forest—no change, forest loss, and forest gain accuracy were 90, 88, and 92%, respectively, and the good correlation of mapped areas of forest cover loss with forest inventory analysis (FIA) tree size class decrease at the county level. The combination of annually collected permanent FIA plots with accurate statewide forest change maps offers a complementary perspective of Maine's forest resource.
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Keywords: FIA; environmental management; forest; forest change; forest management; forest resources; forestry; forestry research; forestry science; landsat; natural resource management; natural resources; remote sensing

Document Type: Regular Article

Affiliations: 1: Professor Of Forest Resources Forest Management University of Maine 260 Nutting Hall Orono ME 04469-5755, Email: sader@umenfa.maine.edu 2: Research Forester Northeastern Research Station USDA Forest Service Newtown Square PA 19073, Email: mhoppus@fs.fed.us 3: Forester/GIS Analyst Forest Society of Maine Bangor ME 04401, Email: Jake@fsmaine.org 4: Research Assistant University of Maine Orono ME 04409, Email: suming_jin@umit.maine.edu

Publication date: 2005-09-01

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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.

    2016 Impact Factor: 1.675 (Rank 20/64 in forestry)

    Average time from submission to first decision: 39.6 days*
    June 1, 2016 to Feb. 28, 2017

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