David L. Evans
Department of Forestry
Mississippi State University

PhD in Forest Management/Remote Sensing
Louisiana State University, 1986

Web: www.cfr.msstate.edu

Email: devans@cfr.msstate.edu
Phone: 662-325-2796

Research Interests
Utilization of high-resolution imagery and LiDAR data in forest assessments for wildlife habitat suitability. This research involves determination of tree species composition and horizontal and vertical structure of forest stands through application of the above data types and geospatial modeling techniques.

Regional forest assessment and spatial ecology investigations. Study tree species site preferences, productivity, and distributions using forest Inventory data coupled with site-specific geospatial layers such as soils topography, climate and anthropogenic influences and infrastructure.

Current Research Projects
Use of LiDAR and high resolution imagery for assessment of gopher tortoise and red-cockaded woodpecker habitat characteristics in the southern U.S.

Most Current Publications:
Ashworth, A., D.L. Evans, W.H. Cooke, A. Londo, C. Collins, and A. Neuenschwander. 2010. Predicting southeastern forest canopy heights and fire fuel models using GLAS data. Photogrammetric Engineering and Remote Sensing 76(8):915-922.

Dean, T.J., Q.V. Cao, S.D. Roberts, and D.L. Evans. 2009. Measuring Heights to Crown Base and Crown Median with LiDAR in a mature, even-aged Loblolly Pine Stand. Forest Ecology and Management. 257:126-133.

Garrigues, M., Z. Fan, D. Evans, B. Cooke. 2010. Mapping Hurricane Katrina forest damage in South Mississippi using MIFI data and GIS. Pages 45-53 in: Proceedings of the 7th Southern Forestry and Natural Resources GIS Conference. Athens, GA.

Hodges, J.D., D.L. Evans, and L.W. Garnett. 2008. Mississippi Trees. Mississippi Forestry Commission, Jackson, Mississippi. 337 p.

Parker, R.C. and D.L. Evans. 2009. LiDAR forest inventory with single-tree, double-, and single-phase procedures 2009. International Journal of Forestry Research, Volume 2009 (2009), Article ID 864108. 6 p.

Tiruveedhula, M.P., Z. Fan, R.R. Sadasivuni, S.S. Durbha, D.L. Evans. 2010. Comparative analysis of spectral unmixing and neural networks for estimating small diameter tree above-ground biomass in the State of Mississippi. Pages 76-85 in: Proceedings of the 7th Southern Forestry and Natural Resources GIS Conference. Athens, GA.

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