Temporal Extrapolation of Satellite Imagery for Short-Range Cloud Forecasting

Award Information
Agency:
Department of Defense
Branch
Defense Threat Reduction Agency
Amount:
$76,181.00
Award Year:
1994
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Award Id:
26114
Agency Tracking Number:
26114
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
5951 Encina Road, Suite 208, Goleta, CA, 93117
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
John G. Devore
(805) 683-4277
Business Contact:
() -
Research Institute:
n/a
Abstract
Visidyne proposes to develop an expert, neural net based, system for extrapolating satellite imagery forward in time to provide short-range forecasts of cloud cover. In Phase I Visidyne proposes to investigate the limits of the temporal extrapolation of satellite cloud imagery. For locations in a variety of climate zones, Visidyne will determine how long overlying clouds can be tracked backward in time in satellite images. If these times are sufficiently long, Visidyne will propose a Phase II effort to develop a short-range forecasting system employing an expert, neural net based, system for extrapolating satellite cloud imagery forward in time. The primary benefit of Phase I will be information regarding the utility of developing a short-range cloud forecasting scheme based on the extrapolation of satellite imagery. If the derived time scales are sufficiently long, then experience gained in Phase I will be used to develop a forecasting scheme, which will be proposed in Phase II. Such a forecasting scheme could be adapted for a variety of civilian uses such as in scheduling LANDSAT use or planning cloud seeding activities.

* information listed above is at the time of submission.

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