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Normalized algorithm for mapping and dating forest disturbances and regrowth for the United States
Authors:Liming He  Jing M. Chen  Shaoliang Zhang  Gustavo Gomez  Yude Pan  Kevin McCullough  Richard Birdsey  Jeffrey G. Masek
Affiliation:1. Department of Geography and Program in Planning, University of Toronto, 100 St. George St., Room 5047, Toronto, ON M5S 3G3, Canada;2. China University of Mining and Technology, Jiefang Road South, Xuzhou, Jiangsu 221008, China;3. Ryerson University, 350 Victoria Street, Toronto, ON M5B 2K3, Canada;4. Newtown Square Corporate Campus, USDA Forest Service, 11 Campus Blvd, Newtown Square, PA 19073, United States;5. Biospheric Sciences Branch (Code 614.4), NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States
Abstract:Forest disturbances such as harvesting, wildfire and insect infestation are critical ecosystem processes affecting the carbon cycle. Because carbon dynamics are related to time since disturbance, forest stand age that can be used as a surrogate for major clear-cut/fire disturbance information has recently been recognized as an important input to forest carbon cycle models for improving prediction accuracy. In this study, forest disturbances in the USA for the period of ∼1990–2000 were mapped using 400+ pairs of re-sampled Landsat TM/ETM scenes in 500m resolution, which were provided by the Landsat Ecosystem Disturbance Adaptive Processing System project. The detected disturbances were then separated into two five-year age groups, facilitated by Forest Inventory and Analysis (FIA) data, which was used to calculate the area of forest regeneration for each county in the USA.
Keywords:Forest disturbance   The continental US   Fire   Logging   Disturbance index   Change detection algorithm
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