Ocean Surface Current Vectors from MODIS Terra/Aqua Sea Surface Temperature Image Pairs

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNS04AA27C
Agency Tracking Number: 035175
Amount: $67,716.00
Phase: Phase I
Program: SBIR
Awards Year: 2004
Solitcitation Year: 2003
Solitcitation Topic Code: E4.01
Solitcitation Number: N/A
Small Business Information
Geospatial Insights, Inc.
1103 Balch Blvd, Suite 211, Stennis Space Center, MS, 39529-0001
Duns: 119070840
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Ronald Holyer
 Principal Investigator
 (228) 688-2378
 charity37@i-55.com
Business Contact
 Don Holland
Title: Business Official
Phone: (228) 688-2175
Email: insights02@aol.com
Research Institution
N/A
Abstract
Satellites that record imagery of the same sea surface area, at times separated by a few hours, can be used to estimate ocean surface velocity fields based on the apparent motion of patterns observed in a pair of images. Human interactive, statistical, model inversion, and feature correspondence methods have all been applied to this problem in the past. Previous methods used Advanced Very High Resolution Radiometer (AVHRR) data, which offered only long time separations, and geolocation inaccuracies that were often detrimental to the accuracy of the retrieved velocity vectors. Also, the previous methods were developed as scientific studies, and as such, require scientific sophistication or computing facilities that make them poor candidates for commercialization. This proposal addresses the development of a new method that uses genetic algorithms to minimize a cost function based on conservation laws and dynamical constraints. The method will utilize Moderate-resolution Imaging Spectroradiometer (MODIS) imagery that has important improvements over AVHRR imagery. Surface current estimates are important to forecasting drift of harmful algal blooms, oil spills, downed pilots, lost boaters, and free-floating mines. Many of these applications are crucial to decision support systems that NASA is currently supporting or investigating for future support.

* information listed above is at the time of submission.

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