Our program conducts research in remote sensing to support coastal management. We are developing ways to use satellite data to complement lidar and traditional bathymetric surveying for charting. Our primary areas of interest in this opportunity are the development of methods for understanding the influence of turbidity on satellite-derived bathymetry and lidar mapping, and the successful quantification of satellite-bathymetry and climatological variations in water clarity in various types of coastal waters, including water with sediment and with algal blooms.

 

References

Schaeffer BA, Hagy JD, Stumpf RP: An approach to developing numeric water quality criteria for coastal waters: a transition from SeaWiFS to MODIS and MERIS satellites. Journal of Applied Remote Sensing 7(1): 073544 (June 18, 2013); doi:10.1117/1.JRS.7.073544, 2013

Wynne TT, Stumpf RP: Spatial and Temporal Patterns in the Seasonal Distribution of Toxic Cyanobacteria in Western Lake Erie from 2002-2014. Toxins 7(5): 1649-1663, 2015

Wynne TT, Stumpf RP, Briggs TO: Comparing MODIS and MERIS spectral shapes for cyanobacterial bloom detection. International Journal of Remote Sensing, DOI:10.1080/01431161.2013.804228, 2013

 

key words

Satellite; Water clarity; Bathymetry; Turbidity; Algal blooms; Optical models; Ocean color;

Citizenship:  Open to U.S. citizens, permanent residents and non-U.S. citizens

Level:  Open to Postdoctoral and Senior applicants