Forecasting IR Satellite Imagery for Adaptive Sensor Tasking

Award Information
Agency:
Department of Defense
Branch
Missile Defense Agency
Amount:
$100,000.00
Award Year:
2008
Program:
SBIR
Phase:
Phase I
Contract:
W9113M-08-C-0084
Agency Tracking Number:
B073-033-0415
Solicitation Year:
2007
Solicitation Topic Code:
MDA07-033
Solicitation Number:
2007.3
Small Business Information
ATMOSPHERIC & ENVIRONMENTAL RESEARCH, IN
131 Hartwell Avenue, Lexington, MA, 02421
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
091493569
Principal Investigator:
Robert d'Entremont
Principal Investigator
(781) 761-2288
rpd@aer.com
Business Contact:
Cecilia Sze
President and CEO
(781) 761-2288
csze@aer.com
Research Institution:
n/a
Abstract
Accurate forecasts of infrared satellite imagery are needed to optimize tasking of valuable and limited space borne surveillance assets. Atmospheric constituents such as clouds, aerosols, and water vapor can negatively impact the ability of IR surveillance systems to monitor activities on the ground. Due to their chaotic nature, atmospheric impacts are particularly severe for applications that require ground monitoring over extended time periods. In our Phase I effort we will develop a prototype 0-72 hour IR imagery forecast system with particular emphasis on characterizing the impacts of clouds. We will build on our expertise and existing capabilities in a number of relevant areas including: analysis and short-term cloud forecasting from Meteorological Satellite (MetSat) imagery; use of mesoscale Numerical Weather Prediction (NWP) models to forecast atmospheric state and diagnose cloud physical properties; application of Mie and Modified Anomalous Diffraction Approximation (MADA) theory to estimate cloud radiative properties from forecasted physical properties; calculation of in-band Top Of Atmosphere (TOA) radiance values from knowledge of the surface characteristics and forecasts of the atmospheric state and cloud properties; and visualizations of forecasted scene elements derived from the TOA radiance estimates. A final demonstration of the prototype system will be conducts using live data inputs.

* information listed above is at the time of submission.

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