Kansas Applied Remote Sensing Program
Department of Geography
|Office||104C Higuchi Hall|
|Office||217C Lindley Hall|
Remote Sensing and GIS
Steve Egbert earned his Ph.D. from the University of Kansas in 1994.
In over 25 years of research, most of my emphasis has centered on the use of time-series remotely sensed imagery for land cover mapping and monitoring applications. Although some of my work has used (and continues to use) multi-seasonal imagery from Landsat and similar sensors, I am currently 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, I am also involved in the use of geospatial technologies for responding to, and mitigating, both natural and human disasters. In that regard, I have 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. We also have ongoing research projects to create inundation databases for the state of Kansas to assist in mapping predicted flood extents.