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Department of Forestry

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David L. EvansDavid L. Evans
Professor

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Phone:  662-325-2796
Fax:  662-325-8726
Email:  devans@cfr.msstate.edu

address:

Room #353, Thompson Hall
Department of Forestry
Box 9681
Mississippi State, MS 39762

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Education:

Research Interests:

  • Remote Sensing
  • Geographic Information Systems
  • Global Positioning Systems

Teaching Areas:

Research / Extension Websites:

Graduate Students

Recent Publications  |   View All Publications

2011
Garrigues, M., Z. Fan, D.L. Evans, W. Cooke. 2010. Mapping Hurricane Katrina forest damage in South Mississippi using MIFI data and GIS. Pages 45-53 in K. Merry, P. Bettinger, Z. Fan, J. Kushla, T. Litts, J. Siry, J. Hepinstall-Cymerman, B. Song, editors; Proceedings of the 7th Southern Forestry and Natural Resources GIS Conference. Athens, GA.

2011
Tiruveedhula, M., 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 K. Merry, P. Bettinger, Z. Fan, J. Kushla, T. Litts, J. Siry, J. Hepinstall-Cymerman, B. Song, editors; Proceedings of the 7th Southern Forestry and Natural Resources GIS Conference. Athens, GA. Download

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

2010
Jones, T.L., E.B. Schultz, T.G. Matney, D.L. Grebner, D.L. Evans. 2010. A forest product/bioenergy mill location and decision support system based on a county-level forest inventory and geo-spatial information. Chapter 9 in J. Gan, S.C. Grado, I.A. Munn, editors, Global Change and Forestry: Economic and Policy Impacts and Responses. Nova Science, NY. 332 p.

2009
Arnold, T.F., R.C. Parker, D.L. Evans. 2009. Precision of Lidar tree measurements on orthogonal flight lines. Proceedings of the SilviLaser 2009 Conference on Lidar Remote Sensing for Vegetation Studies.