Understanding our environment

Stephen Egbert

Director and Senior Scientist, Kansas Applied Remote Sensing
Professor, Department of Geography
Primary office:
104C Higuchi Hall


Academic degrees
Ph.D., geography, University of Kansas, 1994
M.A., geography, University of Nebraska, 1983
B.S., geography, Brigham Young University, 1980
B.A., Chinese, University of Minnesota, 1971

Kemper Fellowship for Teaching, 2005
Nominee for Byron L. Alexander Graduate Mentor Award, 2002

Program affiliations
Kansas Applied Remote Sensing
KU Ecosystems Research Group

Areas of specialization
Remote sensing and GIS

Research interests
In more than 25 years of research, most of Steve's emphasis has centered on the use of time-series remotely sensed imagery for land cover mapping and monitoring applications. Although some of his work has used (and continues to use) multiseasonal imagery from Landsat and similar sensors, he currently is more focused on the use of dense time-series imagery from wide-field sensors such as MODIS. Recent and current studies include using time-series imagery to map the agricultural landscape of the Central Great Plains; examining the relationship of vegetation phenology metrics (VPMs), such as onset of greenness, to actual vegetation growth stages and conditions on the ground; and exploring the impacts of date variations in maximum-value NDVI composites.

In addition to the study and application of time-series remotely sensed imagery, he also is involved in the use of geospatial technologies for responding to, and mitigating, both natural and human disasters. In that regard, he has been involved for several years with a team from KU in assisting the Geneva International Centre for Humanitarian Demining in evaluating a handheld mapping system for creating field databases of minefields. The group also has ongoing research projects to create inundation databases for the state of Kansas to assist in mapping predicted flood extents.

Current projects

  • Use of time-series satellite imagery to characterize and monitor land use and land cover.
  • Evaluation of geospatial technologies for mapping and maintaining minefield databases.
  • Geographic aspects of genocide, ethnic cleansing, and related crimes against humanity.

Recent publications
  • Bowen, M.W., W.C., Johnson, S.L. Egbert, S.T. Klopfenstein. 2011. New methods for identifying and mapping playa lakes on the High Plains, Kansas, USA. Wetlands 30(4): 675-684.
  • Peterson, D., S. Egbert. 2010. KLCP2005 fact sheet.
  • Wardlow, B.D., S. Egbert. 2010. A comparison of MODIS 250-m EVI and NDVI data for crop mapping--a case study for southwest Kansas. International Journal of Remote Sensing 31(3):805-830.
  • Peterson, D., J. Whistler, S. Egbert, E. A. Martinko. 2010. 2005 Kansas Land Cover Patterns: Phase II--final report. Kansas Biological Survey, Lawrence, KS Report No. 167:49 pp.
  • Masialeti, I., S. Egbert, B. Wardlow. 2010. A comparative analysis of phenological curves for major crops in Kansas. GIScience and Remote Sensing 47(2):241-259.
  • Dobson, J., S. Egbert, M.D. Dunbar, J.C. Kostelnick. 2010. Geographers tackle landmines. Focus on Geography 53(3):92-102.
  • Dobbs, K., J. Kastens, S. Egbert. 2010. Evaluation of NED Elevation Data and the FLDPLN Model for Inundation Extent Estimation.download pdf
  • Kastens, J., K. Dobbs, S. Egbert. 2010. Mapping Potential Flood Extents in Eastern Kansas.download pdf
  • Peterson, D., J. Whistler, C. Bishop, S. Egbert, E. A. Martinko. 2009. The Kansas next-generation land use/land cover mapping initiative. Proceedings, American Society for Photogrammetry and Remote Sensing 12 pp.
  • Wardlow, B.D., S. Egbert. 2008. Large-area crop mapping using time-series MODIS 250m NDVI data: An assessment for the U.S. Central Great Plains. Remote Sensing of Environment 112(2008):1096-1116.

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