72. Dekker AG, Peters SWM (1993) The use of the thematic mapper for the analysis of
eutrophic lakes—a case-study in the Netherlands. Int J Remote Sens 14(5):799–821
73. Lathrop RG (1992) Landsat Thematic Mapper monitoring of turbid inland water quality.
Photogramm Eng Remote Sens 58:465–470
74. Lathrop RG, Lillesand TM, Yandell BS (1991) Testing the utility of simple multidate Thematic
Mapper calibration algorithms for monitoring turbid inland waters. Int J Remote Sens 12:
2045–2063
75. Lillesand TM, Johnson WL, Deuell RL, Lindstrom OM, Meisner DE (1983) Use of Landsat data
to predict the trophic state of Minnesota lakes. Photogramm Eng Remote Sens 49: 219–229
76. Ritchie JC, Cooper CM, Schiebe FR (1990) The relationship of MSS and TM digital data with
suspended sediments, chlorophyll and temperature in Moon Lake, Mississippi. Remote Sens
Environ 33:137–148
77. Shuchman R, Leshkevich G, Hat C, Pozdnyakov D, Korosov A (2008) Development of a
robust hydro-optical model for the Great Lakes for the extraction of chlorophyll, dissolved
organic carbon and suspended minerals from MODIS satellite data. In: IAGLR 51st Annual
Conference on Great Lakes Research, 19–23 May 2008, Petersborough, ON
78. Grimm A (2013) Satellite Remote Sensing-Based Coastal and Nearshore Monitoring Research
at MTRI. Michigan Tech Research Institute, Michigan Technological University. http://glc.
org/files/projects/lmmcc/lmmcc-20130418-Grimm-lmmccnemo1.pdf. Accessed 28 Aug 2014
79. Rogers RH (1975) Application of Landsat to the surveillance and control of lake eutrophication in the Great Lakes Basin. Type II Report for the Period of August 11 through November
11, 1975, Prepared for Goddard Space Flight Center, p 55
80. McKeon JB Rogers RH (1976) Water quality map of Saginaw Bay from computer processing
of Landsat-2 data. Special Report Prepared for Goddard Space Flight Center, p 6
81. Greb SR, Martin AA, Chipman JW (2009) Water Clarity Monitoring of Lakes in Wisconsin,
USA using Landsat. In: Proceeding of 33rd International Symposium of Remote Sensing of the
Environment, 4–8 May 2009, Stresa
82. Fuller LM, Aichele SS, Minnerick RJ (2004) Predicting water quality by relating Secchi-disk
transparency and chlorophyll a measurements to Satellite Imagery for Michigan Inland Lakes,
August 2002: U.S. Geological Survey Scientific Investigations Report 2004–5086
83. Fuller LM, Jodoin RS, Minnerick RJ (2011) Predicting lake trophic state by relating Secchidisk transparency measurements to Landsat-satellite imagery for Michigan inland lakes, 2003–
05 and 2007–08: U.S. Geological Survey Scientific Investigations Report 2011–5007, p 36
84. Malthus TJ, Hestir EL, Dekker AG, Brando VE (2012) The case for a global inland water
quality product. In: Proceedings, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 22–27 July 2012, 5234–5237. doi:10.1109/IGARSS.2012.6352429
85. Campbell G, Phinn SR, Dekker AG, Brando VE (2011) Remote sensing of water quality in an
Australian tropical freshwater impoundment using matrix inversion and MERIS image.
Remote Sens Environ 115:2403–2414
86. Martin RH, Boebel EO, Dunst RC, Williams OD, Olsen MV, Merideth RW Jr, Scarpace FL
(1983) Wisconsin lakes—a trophic assessment using Landsat digital data. Wisconsin Lake
Classification Survey Project, S00536601, p 294
87. Olmanson LG (1997) Satellite remote sensing of the trophic state conditions of lakes in the
Twin Cities Metropolitan Area. University of Minnesota, St. Paul
88. Kloiber SM, Brezonik PL, Bauer ME (2002) Application of Landsat imagery to regional-scale
assessments of lake clarity. Water Res 36:4330–4340
89. Olmanson LG, Brezonik PL, Bauer ME (2013) Geospatial and temporal analysis of a 20-year
record of Landsat-based water clarity in Minnesota’s 10,000 lakes. J Am Water Resour Assoc
50:748–761. doi:10.1111/jawr.12138
90. University of Minnesota (2011) Remote Sensing and Geospatial Analysis Laboratory.
Remote Sensing of Water, Lake Browser. http://water.umn.edu/. Accessed 28 Aug 2014
91. Wisconsin Department of Natural Resources (2014) Lakes & AIS Mapping Tool. http://
dnrmaps.wi.gov/SL/?Viewer¼Lakes%20and%20AIS%20Viewer. Accessed 28 Aug 2014
Remote Sensing for Regional Lake Water Quality Assessment: Capabilities and. . .
139
eutrophic lakes—a case-study in the Netherlands. Int J Remote Sens 14(5):799–821
73. Lathrop RG (1992) Landsat Thematic Mapper monitoring of turbid inland water quality.
Photogramm Eng Remote Sens 58:465–470
74. Lathrop RG, Lillesand TM, Yandell BS (1991) Testing the utility of simple multidate Thematic
Mapper calibration algorithms for monitoring turbid inland waters. Int J Remote Sens 12:
2045–2063
75. Lillesand TM, Johnson WL, Deuell RL, Lindstrom OM, Meisner DE (1983) Use of Landsat data
to predict the trophic state of Minnesota lakes. Photogramm Eng Remote Sens 49: 219–229
76. Ritchie JC, Cooper CM, Schiebe FR (1990) The relationship of MSS and TM digital data with
suspended sediments, chlorophyll and temperature in Moon Lake, Mississippi. Remote Sens
Environ 33:137–148
77. Shuchman R, Leshkevich G, Hat C, Pozdnyakov D, Korosov A (2008) Development of a
robust hydro-optical model for the Great Lakes for the extraction of chlorophyll, dissolved
organic carbon and suspended minerals from MODIS satellite data. In: IAGLR 51st Annual
Conference on Great Lakes Research, 19–23 May 2008, Petersborough, ON
78. Grimm A (2013) Satellite Remote Sensing-Based Coastal and Nearshore Monitoring Research
at MTRI. Michigan Tech Research Institute, Michigan Technological University. http://glc.
org/files/projects/lmmcc/lmmcc-20130418-Grimm-lmmccnemo1.pdf. Accessed 28 Aug 2014
79. Rogers RH (1975) Application of Landsat to the surveillance and control of lake eutrophication in the Great Lakes Basin. Type II Report for the Period of August 11 through November
11, 1975, Prepared for Goddard Space Flight Center, p 55
80. McKeon JB Rogers RH (1976) Water quality map of Saginaw Bay from computer processing
of Landsat-2 data. Special Report Prepared for Goddard Space Flight Center, p 6
81. Greb SR, Martin AA, Chipman JW (2009) Water Clarity Monitoring of Lakes in Wisconsin,
USA using Landsat. In: Proceeding of 33rd International Symposium of Remote Sensing of the
Environment, 4–8 May 2009, Stresa
82. Fuller LM, Aichele SS, Minnerick RJ (2004) Predicting water quality by relating Secchi-disk
transparency and chlorophyll a measurements to Satellite Imagery for Michigan Inland Lakes,
August 2002: U.S. Geological Survey Scientific Investigations Report 2004–5086
83. Fuller LM, Jodoin RS, Minnerick RJ (2011) Predicting lake trophic state by relating Secchidisk transparency measurements to Landsat-satellite imagery for Michigan inland lakes, 2003–
05 and 2007–08: U.S. Geological Survey Scientific Investigations Report 2011–5007, p 36
84. Malthus TJ, Hestir EL, Dekker AG, Brando VE (2012) The case for a global inland water
quality product. In: Proceedings, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 22–27 July 2012, 5234–5237. doi:10.1109/IGARSS.2012.6352429
85. Campbell G, Phinn SR, Dekker AG, Brando VE (2011) Remote sensing of water quality in an
Australian tropical freshwater impoundment using matrix inversion and MERIS image.
Remote Sens Environ 115:2403–2414
86. Martin RH, Boebel EO, Dunst RC, Williams OD, Olsen MV, Merideth RW Jr, Scarpace FL
(1983) Wisconsin lakes—a trophic assessment using Landsat digital data. Wisconsin Lake
Classification Survey Project, S00536601, p 294
87. Olmanson LG (1997) Satellite remote sensing of the trophic state conditions of lakes in the
Twin Cities Metropolitan Area. University of Minnesota, St. Paul
88. Kloiber SM, Brezonik PL, Bauer ME (2002) Application of Landsat imagery to regional-scale
assessments of lake clarity. Water Res 36:4330–4340
89. Olmanson LG, Brezonik PL, Bauer ME (2013) Geospatial and temporal analysis of a 20-year
record of Landsat-based water clarity in Minnesota’s 10,000 lakes. J Am Water Resour Assoc
50:748–761. doi:10.1111/jawr.12138
90. University of Minnesota (2011) Remote Sensing and Geospatial Analysis Laboratory.
Remote Sensing of Water, Lake Browser. http://water.umn.edu/. Accessed 28 Aug 2014
91. Wisconsin Department of Natural Resources (2014) Lakes & AIS Mapping Tool. http://
dnrmaps.wi.gov/SL/?Viewer¼Lakes%20and%20AIS%20Viewer. Accessed 28 Aug 2014
Remote Sensing for Regional Lake Water Quality Assessment: Capabilities and. . .
139