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GLERL 2005 Milestone Reports
< GLERL 2005 Milestone main page
GOAL: Ecosystem
Scientist: George Leshkevich (GLERL)
NOAA Performance Objective: Increase number of regional coastal and marine ecosystems delineated with approved indicators of ecological health and socio-economic benefits that are monitored and understood
NOAA Corporate Measure: TBD
Ecosystem Research Program Performance Measure: PM2: Number of tools and technologies developed and transferred to support the responsible use of ocean, coastal and Great Lakes resources.
OAR Performance Measure: Increase the number of techniques and tools that are developed or applied that can be used to restore and protect ocean, coastal, and Great Lakes resources
NOAA Program: Ecosystem Research
Milestone: Complete algorithm development to demonstrate the use of satellite scatterometer data for Great Lakes ice cover mapping. (George Leshkevich, GLERL).
Purpose: The purpose is to develop an algorithm for Great Lakes ice cover mapping using satellite scatterometer data with a large spatial coverage and a high temporal resolution for applications to marine resource management, lake fisheries and ecosystem studies, Great Lakes climatology, and ice cover information distribution (winter navigation).
Efforts and Results (to date): This effort was carried out in collaboration with Son V. Nghiem (NASA/JPL). Our approach was to analyze QuikSCAT time-series backscatter signature behavior during ice cover and ice free periods and develop a scatterometer mapping algorithm based on Ku-band backscatter signatures of Great Lakes ice and water and included the following steps: Great Lakes land masking; scatterometer data collocation and geocoding; subsampling data to produce gridded backscatter data. We applied the algorithm to QuikSCAT data to derive ice cover and open water (color coded) and compared results with SAR imagery and NIC ice charts. Future improvements could include: training scatterometer data with validated SAR ice classification results and determining a Ku-band parameter set to classify and map the ice cover automatically.
Customer(s): Potential users of the ice mapping results include the National Weather Service (NWS), US National Ice Center (NIC), US Coast Guard (USCG).
Cause Factors (if milestone not met):
N/A
Revised Completion Date (if milestone not met):
N/A
Last updated: 2005-10-07 mbl