Publications

Journal Articles and Technical Reports/Thesis

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.

Olmanson, L. G., P. L. Brezonik, and M. E. Bauer (2011), PDF icon 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.

Nelson, M.D., R.E. McRoberts, G.R. Holden and M.E. Bauer. 2009. Effects of satellite image spatial aggregation and resolution on estimates of forest land area.  International J. of Remote Sensing.  30(8):1913-1940.

Rich, R.L., L. Frelich, P.B. Reich, and M.E. Bauer. 2009. Detecting wind disturbance severity and canopy heterogeneity in boreal forest by coupling high-spatial resolution satellite imagery and field data. Remote Sensing of Environment 114(2:299-308.

Yuan, Fei, Changshan Wu and Marvin E. Bauer. Comparison of spectral analysis techniques for impervious surface estimation using Landsat imagery. 2008.  Photogrammetric Engineering and Remote Sensing 74(8):1045-1055.

Dadaser-Celik, Filiz, Marvin E. Bauer, Patrick L. Brezonik, and Heinz G. Stefan. 2008. Changes in the Sultan Marshes ecosystem (Turkey) in satellite images 1980 – 2003. Wetlands 28(3):852-865.

Olmanson, L.G., M.E. Bauer and P.L. Brezonik. 2008. PDF icon Development and analysis of a 20-year Landsat water clarity census of Minnesota.s 10,000 lakes.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.

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 clarityWater Research. 36:4330-4340.

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.

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.

Bauer, M.E., Burk,T.E , Ek, A.R., Coppin, P.R., Lime, S.D.,Walsh, T.A., Walters, D.K., Befort, W., and Heinzen, D.F.. 1994.Satellite inventory of Minnesota forest resources.Photogrammetric Engineering and Remote Sensing 60(3):287-298.

Bauer, M. and Wilson, B. 2005. PDF icon Satellite Tabulation of Impervious Surface AreasLakeLine: A publication of the North American Lake Management Society. Spring 2005.

Bauer, Marvin E., Brian C. Loeffelholz and Bruce Wilson. 2007. PDF icon Estimating and mapping impervious surface area by regression analysis of Landsat imagery. in Remote Sensing of Impervious Surfaces. Qihao Weng (ed.), CRC Press, Boca Raton, FL. pp. 3-20.

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(2):3-13.

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.

Coppin, P.R. and Bauer, M.E. 1994. PDF icon Processing of multitemporal Landsat TM imagery to optimize extraction of forest cover change featuresIEEE Geoscience and Remote Sensing 60(3):287-298.

Coppin, P.R. and Bauer, M.E. 1996. PDF icon Digital change detection in forest ecosystems with remote sensing imageryRemote Sensing Reviews 13:207-234.

Dadaser-Celik, Filiz, Marvin E. Bauer, Patrick L. Brezonik, and Heinz G. Stefan. 2008. Changes in the Sultan Marshes ecosystem (Turkey) in satellite images 1980 – 2003. Wetlands 28(3):852-865.

Franco-Lopez, H., Ek, A. R., and Bauer, M. E. 2001. PDF icon Estimation and mapping of forest stand density, volume, and cover type using the k-Nearest Neighbors methodRemote Sensing of Environment 77(3): 251-274.

Haapanen, R., Ek, A. R., Bauer, M. E and Finley, A.O. 2004. PDF icon Delineation of forest/non-forest land-use classes using k nearest neighbor classificationRemote Sensing of Environment. 89: 265-271.

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. Archives of Hydrobiology, Special Issue Limnology 5: 1-15.

Kloiber, S. M., Brezonik, P. L., and Bauer, M. E. 2002. PDF icon Application of Landsat imagery to regional-scale assessments of lake clarityWater 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 Sensing of Environment 82: 38-47.

Manson, Steven and Marvin Bauer. 2006. PDF icon Changing Landscapes in the Twin Cities Metropolitan Area. CURA Reporter 36(3):3-11.

Menken,K., P.L. Brezonik,and M. Bauer. 2006. PDF icon Influence of chlorophyll and humic color on reflectancespectra of lakes: implications for measurement of lake-waterpropertiesby remote sensingJournalof Lake andReservoirManagement.In Press.

Nelson, M.D., R.E. McRoberts, G.R. Holden and M.E. Bauer. 2009. Effects of satellite image spatial aggregation and resolution on estimates of forest land area. International J. of Remote Sensing. 30(8):1913-1940.

Olmanson, L. G., P. L. Brezonik, and M. E. Bauer (2011), PDF icon 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. PDF icon Development and analysis of a 20-year Landsat water clarity census of Minnesota.s 10,000 lakes.Remote Sensing of Environment, special issue on Monitoring Freshwater and Estuarine Systems. In Press.

Rich, R.L., L. Frelich, P.B. Reich, and M.E. Bauer. 2009. Detecting wind disturbance severity and canopy heterogeneity in boreal forest by coupling high-spatial resolution satellite imagery and field data. Remote Sensing of Environment 114(2:299-308.

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 imageryRemote 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 and Reservoir Management 17: 299-314.

Stuckens, J., Coppin, P.R., and Bauer, M.E. 2000. PDF icon Integrating contextual information with per-pixel classification for improved land cover classificationRemote Sensing of Environment71(3):282-296.

Thoma, D., Gupta, S., Bauer, M.E., and Kirchoff, C. 2005. PDF icon Airborne laser scanning for riverbank erosion assessmentRemote Sensing of Environment 95:493-501.

Wu, J., Wang, D., and Bauer, M.E. 2005. PDF icon Image-based atmospheric correction of QuickBird imagery of Minnesota cropland.Remote Sensing of Environment 99(3): 315-325.

Wu, J. and Wang, D. 2005. PDF icon Estimating evaporation coefficient during two-stage evaporation from soil surfacesSoil Science170(4): 235-243.

Wu, J., Wang, D., and Bauer, M.E. 2007. PDF icon Assessing broadband vegetation indices and QuickBird data in estimating leaf area index of corn and potato canopiesField Crops Research 102(1): 33-42.

Wu, J., Wang, D., Rosen, C.J., and Bauer, M.E. 2007. PDF icon Comparison of petiole nitrate concentrations, SPAD chlorophyll readings, and QuickBird satellite imagery in detecting nitrogen status of potato canopiesField Crops Research 101(1): 96-103.

Wu, J., Bauer, M.E., Wang, D., and Manson, S.M. 2008. PDF icon A comparison of illumination geometry-based methods for topographic correction of QuickBird images of an undulant area. ISPRS Journal of Photogrammetry & Remote Sensing 63(2): 223-236.

Yuan, Fei, Changshan Wu and Marvin E. Bauer. Comparison of spectral analysis techniques for impervious surface estimation using Landsat imagery. 2008. Photogrammetric Engineering and Remote Sensing 74(8):1045-1055.

Yuan, F., Bauer, M.E., Heinert, N.J., and Holden, G.  2005.  PDF icon Multi-level land cover mapping of the Twin Cities (Minnesota) Metropolitan Area with multi-seasonal Landsat TM/ETM+ data.  Geocarto International 20(2):5-14.

Yuan, F., Sawaya, K.E., Loeffelholz, B., and Bauer, M.E. 2005. PDF icon Land cover classification and change analysis of the Twin Cities (Minnesota) metropolitan area by multitemporal Landsat remote sensingRemote Sensing of Environment 98(2): 317-328.

Yuan, F. and M.E. Bauer. 2007. PDF icon Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Landsat imageryRemote Sensing of Environment, 106(3):375-386.

Burk, T.E., Shekhar, S., Vatsavai, R.R., Wilson, B.T. 2000. . PDF icon A Web-based browsing and spatial analysis system for regional natural resource analysis and mapping.

Sonja K. Hansen, Paul V. Bolstad, B. Tyler Wilson, Ranga R Vatsavai, Thomas E. Burk and Marvin Bauer. 2000. PDF icon An Approach to Regional Land Cover Classification in the Upper Great lakes States.

Technical Reports/Thesis

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.

Abdela, Ebrahim. 2004. Evaluation of per-pixel vs. object-based classifications of high resolution imagery: Cloquet Forestry Center, Minnesota. M.S. Thesis. Department of Forest Resources, University of Minnesota.

Holden, Geoffrey. 2003. Detecting Oak Wilt in Eagan, Minnesota Using High Resolution Satellite Imagery. M.S. Thesis. Department of Geography, University of Minnesota.

Kerns, Rick. 2002. A spatial aware regeneration survey application. M.S. Thesis. Department of Forest Resources, University of Minnesota.

Sawaya, Kali. 2000. Integrating Satellite Remote Sensing into Northeastern Minnesota Post-storm Forest Research and Management Efforts. M.S. Thesis. Department of Forest Resources, University of Minnesota.

Sun, Xiaoting. 2003. Comparison of Pixel-based and Object-oriented Approaches to Land Cover Classification Using High-resolution IKONOS Satellite Data. M.S. Thesis. Department of Geography, University of Minnesota.

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.