Understanding our environment

Kansas Applied Remote Sensing: Publications

Houts, M. 2003. Using logistic regression to model wolf habitat suitability in the northern Rocky Mountains. World Wolf Congress 8 pp.download pdf
Yu, F., K. Price, J. Ellis, P. Shi. 2003. Response of seasonal vegetation development ot climatic variations in eastern central Asia. Remote Sensing of Environment 87:42-54.
Wardlow, B.D., S. Egbert. 2003. A state-level comparative analysis of the GAP and NLCD land-cover data sets. Photogrammetric Engineering and Remote Sensing 69(12):1387-1397.
Wang, J., P.M. Rich, K. Price. 2003. Temporal responses of NDVI to precipitation and temperature in the central Great Plains, USA. International Journal of Remote Sensing 24(11):2345-2364.
P. Taylor, B. Mosiman, S. Egbert, J. Whistler. 2003. The Kansas Surface Water Database: Final Report. Kansas Biological Survey, Lawrence, KS Report No. 116.download pdf
Mosiman, B., S. Egbert, J. Whistler. 2003. The Kansas Dam Inventory Project: Final Report. Kansas Biological Survey, Lawrence, KS Report No. 114:19 pp.download pdf
Martinko, E. A., K. Price, S. Egbert, M. Jakubauskas, J. Whistler, T.J. Crooks. 2003. The NASA Great Plains Regional Earth Science Applications Center, 2000-2003. National Aeronautics and Space Administration 45 pp.
Jakubauskas, M., D. Peterson, S. Campbell, S. Campbell, D. Penny, J. deNoyelles. 2003. Remote sensing of invasive aquatic plant obstruction in navigable waterways. U.S. Department of Transportation Research and Special Programs Administration 30 pp.
Guo, X., K. Price, J.M. Stiles. 2003. Grasslands discriminant analysis using Landsat TM multitemporal data. Photogrammetric Engineering and Remote Sensing 69(11):1255-1262.
Egbert, S., D. Peterson, A.M. Stewart, C. Lauver, K. Price, C. Blodgett, J. Cully, G. Kaufman. 2003. Kansas vegetation mapping using multi-temporal remote sensing data: A hybrid approach. Journal of the Korean Geographical Society 38(5):667-685.

Pages


Follow the Kansas Biological Survey and KU Field Station
Facebook  Twitter
Events