Understanding our environment

Kansas Applied Remote Sensing: Publications

Houts, M., R.D. Rodgers, R.D. Applegate, W. H. Busby. 2008. Using local knowledge and remote sensing to map known and potential prairie-chicken distribution in Kansas. Prairie Naturalist 40(3/4):87-93.
Houts, M. 2007. Using aerial imagery over Cheyenne Bottoms Wildlife Area to map the extent of high water levels. Kansas Biological Survey, Lawrence, KS 1-7.download pdf
Slocum, T.A., M. Dunbar, S. Egbert. 2007. Evaluating the potential of the GeoWall for geographic education. Journal of Geography 106(3):91-102.
Cully, J.F., K.M. McNyset, S. Egbert, D. Peterson, J.C. Kostelnick. 2007. Ecological niche modeling of black-tailed prairie dog habitats in Kansas using geographic information systems (GIS), remote sensing, and the Genetic Algorithm for Rule-set Prediction (GARP). Transactions of the Kansas Academy of Science 110(3/4):187-200.
Houts, M. 2007. Annual report--a review of projects completed as the GIS/Remote Sensing Specialist to the Kansas Department of Wildlife and Parks. Kansas Biological Survey, Lawrence, KS Report No. 140.
Houts, M. 2007. 2006-2007 Annual Report - A review of projects completed as the GIS/Remote Sensing Specialist to the Kansas Department of Wildlife and Parks. Kansas Biological Survey, Lawrence, KS Report No. 140.
Jakubauskas, M., E. A. Martinko. 2007. Remote sensing research for detection and identification of abandoned oilfield features. Kansas Biological Survey, Lawrence, KS 33 pp.
Wardlow, B.D., S. Egbert, J. Kastens. 2007. Analysis of time-series MODIS 250m vegetation index data for crop classification in the U.S. Central Great Plains. Remote Sensing of Environment 108(3):290-310.download pdf
Brown, J.C., W.E. Jepson, J. Kastens, B.D. Wardlow, J. Lomas, K. Price. 2007. Multitemporal, moderate-spatial-resolution remote sensing of modern agricultural production and land modification in the Brazilian Amazon. GIScience and Remote Sensing 44(2):117-148.download pdf
Rowley, R.J., K.P. Price, J. Kastens. 2007. Remote sensing and the rancher: Linking rancher perception and remote sensing. Rangeland Ecology and Management 60(4):359-368download pdf

Pages


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