Lunch & Learn - Ryan Ford

Melissa Allen’s student, Ryan Ford, will be discussing their work on atmospheric effects on imagery. 


Atmospheric effects on shortwave radiation propagated through the atmosphere can degrade the ability to qualitatively or quantitatively analyze imagery. These effects can be compensated for using atmospheric radiative transfer codes such as MODTRAN, however these codes require adequate characterization of atmospheric properties. Atmospheric properties were generated using the Weather Research and Forecasting (WRF) Model and input into MODTRAN to determine if they could accurately reproduce atmospheric effects. Comparison of the WRF-MODTRAN output and Landsat 8 Imagery showed an average radiance difference of 9.5 +/- 4.4 W/[m^2 sr um]. This indicates that accurate forward modeling using WRF data is feasible and can be inverted to remove atmospheric effects.

Ryan graduated from SUNY Geneseo with a bachelor's in Physics. He is currently a 4th Year Ph.D. Candidate at the Center for Imaging Science at the Rochester Institute of Technology. Ryan works in the Digital Imaging and Remote Sensing laboratory studying the use of imaging systems for monitoring water quality, specifically focused on extracting information about harmful algal blooms from imagery.


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