Understanding our environment

Kansas Applied Remote Sensing: Publications

Peterson, D., K. Price, E. A. Martinko. 2002. Discriminating between cool season and warm season grassland cover types in northeastern Kansas. International Journal of Remote Sensing 23(23):5015-5030.download pdf
Menard, S., K. Kindscher, D. Peterson. 2002. Using ecological systems as land cover map units for the GAP Analysis Program in Kansas: Summary Report to the USGS-BRD Gap Analysis Program. Kansas Biological Survey, Lawrence, KS 63 pp.download pdf
Mosiman, B., D. Peterson, J. Whistler, S. Egbert, A. Stewart, E. A. Martinko, K. Price. 2002. Remote sensing tools for statewide management: Developing a Landsat 7 imagery database of Kansas. ASPRS Annual Meeting.download pdf
Anderson, A.K., S. Egbert. 2002. Hyperspectral remote sensing of hydrocarbon and brine seepage in Hutchinson, Kansas. ASPRS-ACSM Annual Conference and FIG XXII Congress.
Houts, M. 2002. Modeling Gray Wolf Habitat in the Northern U.S. Rocky Mountains and the Pacific Northwest: Where Will They Go As Populations Grow? Kansas Biological Survey, Lawrence, KS.download pdf
Houts, M., K. Price, R.D. Applegate. 2002. Using AVHRR satellite data to model pheasant population trends in northwest Kansas. ASPRS-ACSM Annual Conference and FIG XXII Congress 7 pp.download pdf
Jakubauskas, M. 2002. Proceedings of the 2002 Seminar in Hypertemporal Imagery Analyis. Kansas Biological Survey, Lawrence, KS 103 pp.
Kansas Applied Remote Sensing Program 2002. Kansas Vegetation Map. Kansas Biological Survey, Lawrence, KS.
Egbert, S., S. Park, K. Price, R. Lee, J. Wu, M.D. Nellis. 2002. Using Conservation Reserve Program maps derived from satellite imagery to characterize landscape structure. Computers and Electronics in Agriculture 37(1-3):141-156.
Egbert, S., E. Martinez-Meyer, M. Ortega-Huerta, A. T. Peterson. 2002. Use of datasets derived from time-series AVHRR imagery as surrogates for land cover maps in predicting species' distributions. IEEE Transactions on Geoscience and Remote Sensing 4:2337-2339.


Follow the Kansas Biological Survey and KU Field Station
Facebook  Twitter