Greg Easson
Affiliations: | The University of Mississippi, USA |
Area:
Computer Science, Geotechnology, Remote SensingGoogle:
"Greg Easson"Children
Sign in to add traineeLance D. Yarbrough | grad student | 2006 | The University of Mississippi |
Henrique G. Momm | grad student | 2008 | The University of Mississippi |
Michelle L. Aten | grad student | 2013 | The University of Mississippi |
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Publications
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Ghaffari Z, Easson G, Yarbrough LD, et al. (2023) Using Downscaled GRACE Mascon Data to Assess Total Water Storage in Mississippi Alluvial Plain Aquifer. Sensors (Basel, Switzerland). 23 |
Hossain AKMA, Easson G. (2012) Predicting shallow surficial failures in the Mississippi River levee system using airborne hyperspectral imagery Geomatics, Natural Hazards and Risk. 3: 55-78 |
Yarbrough LD, Easson G, Kuszmaul JS. (2012) Proposed workflow for improved Kauth–Thomas transform derivations Remote Sensing of Environment. 124: 810-818 |
Momm HG, Easson G. (2011) Evolving spectral transformations for multitemporal information extraction using evolutionary computation Journal of Applied Remote Sensing. 5: 53564-53564 |
Momm H, Easson G, Bingner R, et al. (2011) Evaluation of the use of remotely sensed evapotranspiration estimates into AnnAGNPS pollution model Ecohydrology. 4: 650-660 |
Easson G, DeLozier S, Momm HG. (2010) Estimating Speed and Direction of Small Dynamic Targets through Optical Satellite Imaging Remote Sensing. 2: 1331-1347 |
Momm HG, Gunter B, Easson G. (2010) Improved feature extraction from high-resolution remotely sensed imagery using object geometry Proceedings of Spie - the International Society For Optical Engineering. 7695 |
Easson G, Momm HG. (2010) Evolutionary Computation for Remote Sensing Applications Geography Compass. 4: 172-192 |
Rahman S, Bagtzoglou AC, Hossain F, et al. (2009) Investigating Spatial Downscaling of Satellite Rainfall Data for Streamflow Simulation in a Medium-Sized Basin Journal of Hydrometeorology. 10: 1063-1079 |
Momm HG, Easson G, Kuszmaul J. (2009) Evaluation of the use of spectral and textural information by an evolutionary algorithm for multi-spectral imagery classification Computers, Environment and Urban Systems. 33: 463-471 |