Related Research Areas
Carbon Cycle & Ecosystems

Marsh loss is projected to be one of the major impacts from acceleration in the global sea level trend as a result of global warming. This research proposes to use a proven spectral mixing model with Landsat TM data to determine long term trajectories of loss for different areas in the LCA. Stressors that may act like triggers, such as hurricanes and marsh fires, whether they initiate the marsh loss cycle or accelerate its rate, will be analyzed from historical records of the hurricanes in the Gulf of Mexico and the available fire data for LCA. MODIS 250 m and a new radar platform technology, UAVSAR, will be used to analyze changes in marsh conditions in high spatial and temporal detail (from the SAR data, wetness, marsh surface elevation, and canopy biomass) and post storm trends (from MODIS) for wise management. Field based indicators of marsh submergence and its affects on plant vigor, such as anoxia, sulfides, and rooting strength, will be collected at sites differing in degree of degradation to determine what the spectral mixing model and the other remote sensing data mean in terms of marsh plant vigor. The result of the project will be developed into a web-based, modeling Decision Support System for the end-user organization, the Louisiana Department of Natural Resources.

Project PI: Michael Kearney/University of Maryland

LeFrak 1157,Department of Geography, 2181 LeFrak Hall, University of Maryland, College Park MD 20742

Phone: (301) 405-4057

Fax: (301) 314-9299



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Started: Sep 27, 2010

Last Activity: Jan 04, 2011


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