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CLOUD PROPERTY DETERMINATION FROM MULTISPECTRAL DMSP OLS

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: N/A
Agency Tracking Number: 3711
Amount: $150,000.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 1987
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
840 Memorial Dr
Cambridge, MA 02139
United States
DUNS: N/A
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 R G Isaacs/dr R N Hoffman
 (617) 547-6207
Business Contact
Phone: () -
Research Institution
N/A
Abstract

THE PROPOSED STUDY WILL DETERMINE CLOUD PROPERTIES FROM SIMULATED MULTISPECTRAL DMSP OLS DATA BY COMBINING A SCENE MODEL APPROACH WITH A VARIETY OF CLOUD PARAMETER RETRIEVAL METHODS. THE MULTISPECTRAL OLS DATA WILL BE CREATED BY RESAMPLING LANDSAT THEMATIC MAPPER SPATIALLY AND SPECTRALLY. THE PROPOSED SENSOR HAS SEVERAL SPECTRAL BANDS WHICH, IN PRINCIPLE, ALLOW CLOUD AMOUNT AND HEIGHT TO BE RETRIEVED. CLOUD PARTICLE SIZE, CLOUD PHASE, AND CLOUD THICKNESS MAY ALSO BE RETRIEVABLE. THE PROPOSED SCENE MODEL WILL ACCOUNT FOR PARTIAL BEAM FILLING AND IDENTIFY HOMOGENEOUS AREAS IN THE SCENE, THEREBY ALLOWING EFFICIENT COMPOSITING FOR CLOUD PARAMETER RETRIEVALS. WE PLAN TO UTILIZE A VARIETY OF CLOUD PARAMETER RETRIEVAL METHODS INCLUDING BISPECTRAL, THRESHOLD, AND STATISTICAL METHODS. AS WE DEVELOP AND APPLY PARTICULAR ALGORITHMS, WE WILL PERFORM A VARIETY OF RADIATIVE TRANSFER CALCULATIONS TO OPTIMIZE THESE METHODS.

* Information listed above is at the time of submission. *

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