- Related Research Areas
- Water & Energy Cycles
The Sediment Analysis Network for Decision Support will generate decision support products using NASA satellite observations from MODIS, Landsat and SeaWiFS instruments to support resource management, planning, and decision making activities in the Gulf of Mexico. Specifically, SANDS will generate decision support products that address the impacts of tropical storms and hurricanes on sediment disturbance, suspension, transport, and deposition in the north central Gulf of Mexico. Since tropical storm-induced sediment disturbance plays a part in each of the four GOMA priority issues addressed by the A.28 solicitation, the products generated by SANDS will have broad application to end users in the Gulf States. In addition to the project team of UAHuntsville’s Information Technology and Systems Center and the Geological Survey of Alabama, at least five end user organizations will use the products to improve measurements of water quality (Dauphin Island Sea Lab); assess sedimentation during storm events and its impact on critical coastal habitats (Alabama Department of Conservation); assess sedimentation versus sea level rise in natural marshes (Department of the Interior); and improve understanding of the impact of sediment and sediment deposits on water quality, living resources, and habitats of the estuarine environment (Mobile Bay National Estuary Program); and assess storm surge effects on coastal ecosystems (NOAA Center for Coastal Ocean Research). The products will be managed and accessed through the SANDS Portal, an on-line data repository with a user interface customized to provide data and information for specific storm events. All products will also be registered with the GOMA metadata portal, Virtual Alabama decision support system and other regional geospatial information systems relevant to coastal issues. By making multi-spectral satellite products available for multiple common storm events, SANDS will provide end users the opportunity to better analyze, detect, and identify compositions and patterns of suspended sediment and sediment deposits.
Project PI: Sara Graves/University of Alabama in Huntsville
TH S339A,The University of Alabama in Huntsville • Computer Science Department • 300 Technology Hall
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