Infrared remote sensing at AER includes extensive expertise in retrieving atmospheric and surface properties from Infrared Sensors. We specialize in the development of geophysical parameter algorithms and ultra-fast radiative transfer models for various sensor-specific applications. Our group plays a key role in the development and validation of AER's Optimal Spectral Sampling (OSS) model and works in close collaboration with other AER groups, including the Trace Gas Remote Sensing and Radiation and Climate groups, to improve the forward and inverse models used in remote sensing retrieval algorithms.
Our core capabilities include:
- End-to-end simulation for sensor performance characterization
- Development of fast radiative transfer models for hyperspectral applications in clear and cloudy atmospheres
- Development and implementation of atmospheric correction algorithms
- Development and implementation of algorithms for retrieving geophysical parameters from remote sensing data
- Validation of radiative transfer models and retrieval algorithms using ground, aircraft, and satellite data
Major projects include:
- National Polar-Orbiting Environmental Sounder Suite
- Ozone Mapping and Profiler Suite (NPOESS-OMPS), 1997-2002
- Cross-Track Infrared Sounder Suite (NPOESS-CrIMSS), 1997-Present
- Aerosol Polarimetry Sensor (NPOESS-APS), 2002-2003
- Geostationary Operational Sounder (GOES-R)
- Hyperspectral Environmental Sounder (GOES-HES), 2003-Present
- Air Force Research Laboratory (1994-ongoing)
- Improvements to MODTRAN
- Improvements to FASCODE
- Atmospheric Correction
- Monte-Carlo Plume Simulations
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