SOLICITATION NOTICE
B -- NAScintific studies
- Notice Date
- 3/24/2005
- Notice Type
- Solicitation Notice
- NAICS
- 611310
— Colleges, Universities, and Professional Schools
- Contracting Office
- Department of Commerce, National Oceanic and Atmospheric Administration (NOAA), Acquisition and Grants Office, SSMC4 - Room 7601/OFA61 1305 East West Highway, 7th Floor, Silver Spring, MD, 20910
- ZIP Code
- 20910
- Solicitation Number
- NEEk0000500156
- Response Due
- 4/8/2005
- Archive Date
- 4/23/2005
- Description
- The U. S. Department of Commerce/National Oceanic and Atmospheric Administration/NESDIS,intends to negotiate with Research Foundation CUNY, New York, NY, under the CREST Program on a sole source basis in accordance with the authority of 41 U. S. C. 253 ( c ) (1), only one responsible source. The CREST Program is a collaboration of Universities in the NYC metropolitan area including CUNY, New York, directed in part at Minorities, for the continued study of Compression of AIRS Data Using Empirical Mode Decomposition. Future satellite platforms will include hyper spectral sensors to monitor the Earth?s environment. Hyper spectral sensors will greatly improve the accuracy of key parameters, such as atmospheric temperature, moisture, ozone, and land and ocean surface properties. Improved accuracy of the parameters will significantly improve our capability to monitor the current state of the environment and to improve predicted of changes in both weather and climate. Improvements in these key parameters are derived by measuring the Earth?s outgoing radiation as much fined spectral and spatial resolution. The AIRS data from the NASA AQUA platform will be used to test different techniques. This task calls for the study of the application of Empirical Mode Decomposition (EMD) to the compression of 3D hyper spectral sounding data. The EMD approach will be test using 3D AIRS data. AIRS data includes 2108 infrared channels and arranged in granules that consist of 135 scan lines containing 90 cross-track footprints per scan line resulting in total 135 x 90 footprints. TASKS: 1) Develop a (vector quantization) algorithm for classification of different types of footprints in 3D granule. 2) Modify IMF decomposition process to make it suitable for AIRS data type. 3) Develop software based on the proposed algorithm for 3D AIRS data compression (make it available to all members of AIRS data compression group) 4) Participate in comparative performance study of the proposed algorithm versus existing compression algorithms. 5) Participate in Data Compression Conferences and Workshops. 6) Involve students in the project to train them for possible future activities. Offerors certain they can meet the requirement are requested to submit in writing an affirmative response and technical capabilities. All written responses must include a written narrative statement of capability, including detailed technical information demonstrating their ability to meet the above requirements. Failure to submit such documentation will result in the government proceeding as stated above. A determination by the Government not to open the requirement to competition based upon responses to this notice is solely within the discretion of the Government. Affirmative written responses must be received no later than 15-days after publication of this synopsis. All information in response to this notification must be submitted in writing to the attention of Sally Huber, Contract Specialist. Note 22 applies.
- Place of Performance
- Address: 5200 Auth Road, Camp Springs, MD
- Zip Code: 20746
- Country: U.S.A.
- Zip Code: 20746
- Record
- SN00775389-W 20050326/050324211844 (fbodaily.com)
- Source
-
FedBizOpps.gov Link to This Notice
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