Evan A. Ellicott
Research Assistant Professor
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| Office: | 4321 Hartwick Rd., Suite 209 |
| Telephone: | 301-405-5189 |
| FAX: | 301-405-6806 |
| Email: | ellicott@umd.edu |
Education
Ph.D. Geography, University of Maryland, 2009
B.S. Environmental Science, State University of New York at Albany, 1996
B.A. Geography, State University of New York at Albany, 1996
Research Interests
- Satellite based estimates of fire radiative energy and associated biomass burning emissions
- Fire ecology and consequences of a changing climate
- Land cover and land use change, in particular the interrelationships with climate and sustainability
I am interested in the application of remotely sensed data to investigate the interactive and dynamic nature of landscape ecology and interactions with humans. Incorporating spatial analysis tools along with in situ measurements I am particularly interested in quantifying biomass burning emissions and severity. I also seek to understand how patterns of wildfire and land use may vary with climate change and anthropogenic influence.
My current post-doc position is a joint appointment with the Department of Geography and the Earth System Science Interdisciplinary Center (ESSIC). The focus of my position is to assist the NOAA/NASA team in the development, testing and implementation of the VIIRS Fire Code in the pre-launch period (pre-June 2010). I am working on developing and evaluating an active fire algorithm suitable for the VIIRS instrument, based on the instrument specifications and pre-launch instrument performance results, developing and testing code which would be used to generate a VIIRS product and preparing for running the code on real VIIRS data.
Representative Publications
E. Ellicott, E. Vermote, F. Petitcolin, and S. Hook (2009), Validation of new parametric model for atmospheric correction of thermal infrared data, IEEE Transactions on Geoscience and Remote Sensing, 47(1), p295-311
E. Ellicott, E. Vermote, L. Giglio, G. Roberts (2009), Estimating the total fire radiative energy emitted from biomass burning using MODIS, Geophysical Research Letters, 36, L13401, doi:10.1029/2009GL038581.
- E. Vermote, E. Ellicott, O. Dubovik, T. Laypyonok, M. Chin, L. Giglio, and G. Roberts (2009), An approach to estimate global biomass burning emissions of Organic and Black Carbon from MODIS Fire Radiative Power, Journal of Geophysical Research, 114, D18205, doi:10.1029/2008JD011188.