Scientists & Staff
Patrick L. Zimmerman
Notes: This person is no longer an employee of the Northern Research Station.
Publications & Products
- Seilheimer, Titus S.; Zimmerman, Patrick L.; Stueve, Kirk M.; Perry, Charles H. 2013. Landscape-scale modeling of water quality in Lake Superior and Lake Michigan watersheds: How useful are forest-based indicators? Journal of Great Lakes Research. Journal of Great Lakes Research. 39(2): 211-223.
- Zimmerman, P.L.; Housman, I.W.; Perry, C.H.; Chastain, R.A.; Webb, J.B.; Finco, M.V. 2013. An accuracy assessment of forest disturbance mapping in the western Great Lakes. Remote Sensing of Environment. 128: 176-185.
- Perry, Charles H.; Zimmerman, Patrick L. 2012. Building improved models of sugar maple mortality. In: Morin, Randall S.; Liknes, Greg C., comps. Moving from status to trends: Forest Inventory and Analysis (FIA) symposium 2012; 2012 December 4-6; Baltimore, MD. Gen. Tech. Rep. NRS-P-105. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. [CD-ROM]: 204-209.
- Stueve, Kirk M.; Housman, Ian W.; Zimmerman, Patrick L.; Nelson, Mark D.; Webb, Jeremy; Perry, Charles H.; Chastain, Robert A.; Gormanson, Dale D.; Huang, Chengquan; Healey, Sean P.; Cohen, Warren B. 2012. Improving automated disturbance maps using snow-covered landsat time series stacks. In: Morin, Randall S.; Liknes, Greg C., comps. Moving from status to trends: Forest Inventory and Analysis (FIA) symposium 2012; 2012 December 4-6; Baltimore, MD. Gen. Tech. Rep. NRS-P-105. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. [CD-ROM]: 137-142.
- Stueve, Kirk M.; Housman, Ian W.; Zimmerman, Patrick L.; Nelson, Mark D.; Webb, Jeremy B.; Perry, Charles H.; Chastain, Robert A.; Gormanson, Dale D.; Huang, Chengquan; Healey, Sean P.; Cohen, Warren B. 2011. Snow-covered Landsat time series stacks improve automated disturbance mapping accuracy in forested landscapes. Remote Sensing of Environment. 115: 3203-3219
National Research Highlights
Forest Land Estimates Improved by Novel Automated Mapping Technique Using Winter Satellite Imagery
Year: 2011
Most automated satellite-based approaches for mapping forest lands rely on summer satellite imagery and are usually inconsistent with FIA plot-based estimates. Incorporating winter imagery in the mapping approach helps reduce the abundant false positives for forest and forest disturbance that frequently occur during the growing season, especially where forest is intermixed with wetland and agricultural landscapes. Reliable estimates of forest lands between FIA field plots allow customers the opportunity to explore forest dynamics more confidently beyond the grid of FIA plots.
Last modified: Thursday, February 2, 2023