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A collaboration of the University of Minnesota's Remote Sensing and Geospatial Analysis Laboratory and Water Resources Center

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Presentations & Publications


Updated regional assesment presentation for 2012:


Journal Articles

Olmanson, Leif G., Patrick L. Brezonik, Jacques C. Finlay, and Marvin E. Bauer. 2016. Comparison of Landsat 8 and Landsat 7 for regional measurements of CDOM and water clarity in lakes. Remote Sensing of Environment 185:119–128. DOI: 10.1016/j.rse.2016.01.007.

Olmanson, L.G., Brezonik, P.L. and Bauer, M.E. 2015. Remote Sensing for Regional Lake Water Quality Assessment: Capabilities and Limitations of Current and Upcoming Satellite Systems, Chapter 5, Advances in Watershed Science and Assessment. Springer. The Handbook of Environmental Chemistry Volume 33, DOI 10.1007/978-3-319-14212-8_5. If not available from your library, contact Leif Olmanson <olman002@umn.edu> for a copy.

Brezonik, P.L., Olmanson, L.G., Finlay, J.C. and Bauer, M.E. 2015. Factors affecting the measurement of CDOM by remote sensing of optically complex inland waters. Remote Sensing of Environment 157:199-215. DOI: 10.1016/j.rse.2014.04.033.

Olmanson, L.G., Brezonik, P.L. and Bauer, M.E. 2013. Geospatial and temporal analysis of a 20-year record of Landsat-based water clarity in Minnesota.s 10,000 lakes. J. American Water Resources Association 50(3):748-761. DOI: 10.1111/jawr.12138

Olmanson, L.G., Bauer, M.E., and Brezonik, P.L. 2013 Airborne hyperspectral remote sensing to assess spatial distribution of water quality characteristics in large rivers: the Mississippi River and its tributaries in Minnesota. Remote Sensing of Environment. 130:254-265. DOI:10.1016/j.rse.2012.11.023.

Chipman, J.W., L.G.Olmanson and A.A.Gitelson. 2009. Remote Sensing Methods for Lake Management: A guide for resource managers and decision-makers. Developed by the North American Lake Management Society in collaboration with Dartmouth College, University of Minnesota, University of Nebraska and University of Wisconsin for the United States Environmental Protection Agency.
(No online version available, order hardcopy or PDF)

Olmanson, L. G., P. L. Brezonik, and M. E. Bauer (2011), Evaluation of medium to low resolution satellite imagery for regional lake water quality assessments, Water Resources Research, 47, W09515, doi:10.1029/2011WR011005.  If not available from your library, contact Leif Olmanson <olman002@umn.edu> for a copy.

Olmanson, L.G., M.E. Bauer and P.L. Brezonik. 2008. Development and analysis of a 20-year Landsat water clarity census of Minnesota.s 10,000 lakes PDF icon . Remote Sensing of Environment, special issue on Monitoring Freshwater and Estuarine Systems. In Press.

Brezonik, Patrick L., Leif G. Olmanson, Marvin E. Bauer, and Steven M. Kloiber. 2007. PDF icon Measuring Water Clarity and Quality in Minnesota Lakes and Rivers: A Census-Based Approach Using Remote-Sensing Techniques. CURA Reporter 37(3)3-13.

Heiskary, S., Olmanson, L., Gitelson, A., and Chipman, J., 2006. Remote sensing: Does it have a role? Assessing the nation.s lakes. NALMS LakeLine Magazine 26(1):27-35.

Brezonik, P.L., K. Menken, and M.E. Bauer. 2005.PDF icon Landsat-based remote sensing of lake water quality characteristics, including chlorophyll and colored dissolved organic matter (CDOM). Lake and Reservoir Management 21(4):373-382.

Kloiber, S.M., Anderle, T.H., Brezonik, P.L., Olmanson, L.G., Bauer, M.E., and Brown, D.A. 2000. Trophic state assessment of lakes in the Twin Cities (Minnesota, USA) region by satellite imagery. Arch. Hydrobiol. Spec. Issues. Advanc. Limnol., 55, 137-151.

Kloiber, S.M., Brezonik, P.L. and Bauer, M.E. 2002. PDF icon Application of Landsat imagery to regional-scale assessments of lake clarity. Water Research. 36:4330-4340.

Kloiber, S.M., Brezonik, P.L., Olmanson, L.G., and Bauer, M.E. 2002. PDF icon A procedure for regional lake water clarity assessment using Landsat and multispectral data. Remote Sens. Environ. 82:38-47.

Lillesand, T.M., Johnson, W.L., Deuell, R.L., Lindstrom, O.M. and Meisner, D.E. 1983. Use of Landsat data to predict the trophic state of Minnesota lakes. Photogram. Engrg. Remote Sens., 49, 219-229.

Menken, K., P.L. Brezonik, and M. Bauer. 2006.PDF icon Influence of chlorophyll and humic color on reflectance spectra of lakes: implications for measurement of lake-water properties by remote sensing. Journal of Lake and Reservoir Management. In Press.

Sawaya, K., Olmanson. L., Heinert, N., Brezonik. P., and Bauer, M. 2003.
PDF icon
Extending satellite remote sensing to local scales: Land and water resource monitoring using high-resolution imagery
. Remote Sensing of Environment 88: 144-156.

Stadelmann, T.H., Brezonik, P.L., and Kloiber, S.M. 2001. Seasonal patterns of chlorophyll a and Secchi disk transparency in lakes of east-central Minnesota: implications for design of ground- and satellite-based monitoring programs. Lake Reserv. Manag. 17:299-314.

Technical Reports and Dissertations

Brezonik, P.L., Osgood, R.A., Olmanson, L., Day, E., Hatch, L., Doyle, J., Perry, J.A., Bauer, M., MacBeth, E., and Anderle, T. 2000. Cumulative impacts of development on lakes in the North Central Hardwood Forest ecoregion of Minnesota: an exploratory study. Final report to the Minnesota Department of Natural Resources, University of Minnesota, St. Paul, MN.

Kloiber, S.M. 2002. Satellite Remote Sensing and Geographical Information Systems: Tools for Regional Surface Water Assessment. Ph.D. Dissertation, Department of Civil Engineering, University of Minnesota, Minneapolis, MN. 154 pages.

Olmanson, L.G. 1997. Satellite remote sensing of the trophic state conditions of the lakes in the Twin Cities Metropolitan Area. M.S. Paper, Department of Water Resources Science, University of Minnesota, St. Paul, MN.

Olmanson, L.G., Kloiber, S.M., Bauer, M.E., and Brezonik, P.L. 2001. PDF icon Image processing protocol for regional assessments of lake water quality. Water Resources Center and Remote Sensing Laboratory, University of Minnesota, St. Paul, MN, 55108, October 2001.

Conference Proceedings Papers

Bauer. M., Olmanson, L., Schulze, M., Brezonik, P., Chipman, J., Riera, J., and Lillesand, T. 2001. Assessment of lake water clarity in the Upper Great Lakes region. Proceedings, American Society of Photogrammetry and Remote Sensing, St. Louis, Missouri, April 23-27, 2001.

Olmanson, L.G., Bauer, M.E., and Brezonik, P.L. 2002. Aquatic vegetation surveys using high-resolution IKONOS imagery. Proceedings, 15th William T. Pecora Memorial Remote Sensing Symposium, 2002, Denver, Colorado. Unpaginated CD ROM, 5 pp.

Olmanson, L.G., Bauer, M.E., and Brezonik, P.L. 2002. Water quality monitoring of 10,000 Minnesota lakes: statewide classification of lake water clarity using Landsat imagery. Proceedings, 15th William T. Pecora Memorial Remote Sensing Symposium. November 8-15, Denver, Colorado. Unpaginated CD ROM, 8pp.

Olmanson, L.G., Brezonik, P.L., Kloiber, S.M., Bauer, M.E., and Day, E.E. 2001. Lake water clarity assessment of Minnesota’s 10,000 lakes: A comprehensive view from space. Proceedings, Virginia Water Research Symposium 2000. In: Advances in Water Monitoring Research, T.Younos (Ed.), Water Resources Publications, LLC, Highland Ranch, Colorado, pp. 183-202.

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