Using an OBCD Approach and Landsat TM Data to Detect Harvesting on Nonindustrial Private Property in Upper Michigan

摘要: Forest dynamics influence climate, biodiversity, and livelihoods at multiple scales, yet current resource policy addressing these is ineffective without reliable land use cover change data. The collective impact of harvest decisions by many small forest owners can be substantial the landscape scale, monitoring harvests regrowth in forests challenging. Remote sensing an obvious route to detect monitor small-scale over large areas. Using annual series Landsat-5 Thematic Mapper (TM) images a GIS shapefile property boundaries, we identified units where occurred from 2005 2011 using Object-Based Change Detection (OBCD) approach. Percent basal area harvested was verified stand-level Our method detected all above 20% removal types (northern hardwoods, mixed deciduous/coniferous, coniferous), on properties as 10 acres (0.4 ha; approximately four Landsat pixels). results had resolution about 10% (that is, selective 30% could distinguished one 40%). automated used measure rates intensities for areas United States, providing critical information transition.