Perspectives of Maine Forest Cover Change from Landsat Imagery and Forest Inventory Analysis (FIA)
Authors: Sader, Steven1; Hoppus, Michael2; Metzler, Jacob3; Jin, Suming4
Source: Journal of Forestry, Volume 103, Number 6, September 2005 , pp. 299-303(5)
Abstract:
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: forestno 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.Keywords: remote sensing; landsat; FIA; forest change; environmental management; forest; forest management; forest resources; forestry; forestry research; forestry science; natural resources; natural resource management
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
