| Jerry L. Whistler
Jerry Whistler is a Research Associate and the Laboratory Director for the KARS Program. He has over 20 years of experience in the application of remote sensing and GIS technologies. Jerry earned his BA and MA in Geography at the University of Kansas. His research interests include phenology-based vegetation classification strategies and landscape characterization and analysis. He directed the work that produced the first statewide digital land cover database for Kansas. Jerry serves as the KBS/KARS representative to the Technical Advisory Committee (TAC) of the Kansas GIS Policy Board. Professional Papers and Reports Martinko, E., J. Whistler, D. Peterson, J. Kastens, R. Hagen, D. Huggins, M. Jakubauskas. 2007. A Watershed Classification System for Tiered Diagnosis of Biological Impairments: A Scalable, Central Plains Focus with National Applicability. Final Report to the U.S. Environmental Protection Agency STAR Program, Cooperative Agreement RD-83059701. KBS Report 141. Kansas Biological Survey, University of Kansas Lawrence, 153 pp. (PDF) Griffith, J., E. Martinko, J. Whistler, and K. Price. 2002. “Interrelationships among landscapes, NDVI, and stream condition in the U.S. Central Plains.” Ecological Applications 12(6): 1702-1718. (PDF) Whister, J.L., D.L. Peterson, and B.N. Mercier. 2002. The Kansas Satellite Image Database 2000-2001: Final Report. KBS Report 104. Kansas Biological Survey, University of Kansas Lawrence, 22 pp. (PDF) Griffith, J.A., E.A. Martinko, J.L. Whistler, and K.P. Price. 2002. “Preliminary comparison of landscape pattern–normalized difference vegetation index (NDVI) relationships to central plains stream conditions.” Journal of Environmental Quality, Vol. 31, No. 3, pp. 846-859. (PDF) Lauver, C.L., W.H. Busby, and J.L. Whistler. 2002. “Testing a GIS model of habitat suitability for a declining grassland bird”. Environmental Management, Vol. 30, No. 1, pp.88-97. (PDF) Martinko, E.A., J.L. Whistler, F. deNoyelles, Jr., J.A. Griffith, and D. Peterson. 2000. EPA Region VII R-EMAP Project: Landscape Analysis and Characterization to Support Regional Environmental Assessment (LACRA). Final Report to US EPA Region VII, EPA Assistance Agreement #CR825877-01-0, Kansas Biological Survey, University of Kansas Lawrence, 50 pp. (PDF) Whistler, J.L., S.L. Egbert, E.A. Martinko, D.W. Baumgartner, R. Lee, and M.E. Jakubauskas. 1996. "Development of the Kansas Digital Land Use/Land Cover Map From Satellite Multispectral Imagery." In Morain, S. and Baros, L. (eds.) Raster Imagery in Geographic Information Systems, pp. 328-334. Whistler, J.L. 1996. A Phenological Approach To Land Cover Characterization Using Landsat Mss Data For Analysis Of Nonpoint Source Pollution. Final Report to the U.S. Environmental Protection Agency - Region 7. KARS Report 96-1. Kansas Applied Remote Sensing, University of Kansas Lawrence, 51 pp. (PDF) Whistler, J.L. and J.Dunham, 1995. Pracht Wetland Landcover Inventory: Final Report. KARS Report 95-1. Kansas Applied Remote Sensing, University of Kansas Lawrence, 34 pp. (PDF) Dillworth, M.E., J.L. Whistler and J.W. Merchant, 1994. "A Comparison of Geometric and Geographic Windows for Measuring Landscape Structure". Photogrammetric Engineering and Remote Sensing, Vol. 60, No. 10, pp. 1215-1224. Lauver, C.L. and J.L. Whistler, 1993. "A Hierarchical Classification of Landsat TM Data to Identify Natural Grassland Areas and Rare Species Habitat". Photogrammetric Engineering and Remote Sensing, Vol. 59, No. 5, pp. 627-634. Jakubauskas, M.E., J.L. Whistler, M.E. Dillworth and E.A. Martinko, 1992. "Classifying Remotely Sensed Data for Use in an Agricultural Non-Point Source Pollution Model". Journal of Soil and Water Conservation, Vol. 47, No. 2, pp. 179-182. Proceedings and Other Publications Whistler, J.L., X. Guo, M.E. Houts, K.P. Price, E.A. Martinko, and
D. Depardo. 2001. Developing a multispectral data acquisition system
for capturing hi-resolution airborne digital imagery. Proceedings of
the 2001 American Society for Photogrammetry and Remote Sensing Annual
Conference, April 23-27, St. Louis, MO. (PDF) |
