SBIR/STTR Research Award

Remote Detection of Ocean Surface Roughness Changes

Award identifier 4e0426a0a02cf45e343b58be6c1deabf3cd72eec5b0923f4edc88171790d60f9Awarding agency Department of Defense · Navy

Award amount

$99,956

Program and phase

STTR · Phase I

Award year

2006

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
ZEL TECHNOLOGIES LLC
Proposal award date
2006-08-01
Contract end date
2007-05-31
UEI
V7F4CN1JL3A6
Solicitation number
Not reported
Topic code
N06-T002

Research abstract

Detection of weak oceanic currents by remote sensing means is an important task for many applications. Recent destructive Sumatra tsunami (2004) demonstrated a key role of the tsunami monitoring and early warning system for preventing numerous human losses and decreasing property damage. Complexity of the problem is explained by very weak current needed to be detected. Nevertheless there are some observations (tsunami shadow) and theoretical arguments indicating that even such small oceanic currents can result in measurable variations of the sea surface roughness. During Phase I we propose to conduct research directed to the development of the theory of roughness modulation due to interaction of surface currents with a turbulent wind and verification of theoretical prediction by studying available microwave radar/radiometric satellite data. Comparison of the satellite observation collocated in space and time with tsunami wave with theoretical modulation of surface roughness and resulting radar/radiometric signal will answer the question of detectability of weak current. In case of positive result of Phase I, the efforts of Phase I optional part and Phase II will be directed toward study of the effect of various environmental parameters on the signal strength, development of the robust detection algorithm, and optimal parameters of the airborne/spaceborne systems.BENEFITS: The proposed research will result in a sensor system and algorithm capable of real time detection of weak current disturbances from aircraft or/and satellites. Such a system would be of great value to the US Government for national security purposes and for warning and emergency management. Specific applications may include tsunami warning, bottom topography characterization in denied areas, and subsurface mine detection. A global, satellite-based system for early tsunami detection will be of exceptional societal value for this and other nations. Through early warning with a low probability of a false alarm, it will help to save lives and minimize economic impact in tsunami-affected areas.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

8 SBIR/STTR records share this UEI (2005–2012). Reported award amounts total $3,671,174. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense

Contractor profile

ZEL TECHNOLOGIES, LLC

Historical federal award activity, when published, is on that contractor profile. Matched by UEI only.

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.