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Remote Sens 34(18):6286–6320. doi:10.1080/01431161.2013.800656
21. Sawaya K, Olmanson L, Heinert N, Brezonik PL, Bauer ME (2003) Extending satellite remote
sensing to local scales: land and water resource monitoring using high-resolution imagery.
Remote Sens Environ 88:144–156
22. Chipman JW, Olmanson LG, Gitelson AA (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, p 132
23. Vincent RK, McKay RM, Al-Rshaidat MMD, Czajkowski K, Bridgeman T, Savino J (2005)
Mapping the bacterial content of surface waters with Landsat TM data: importance for
monitoring global surface sources of potable water. In: Proceedings ASPRS Pecora 16: global
priorities in land remote sensing, Oct 23–27, 2005, Sioux Falls, SD, p 6
24. Torbick N, Hession S, Hagen S, Wiangwang N, Becker B, Qi J (2013) Mapping inland lake
water quality across the Lower Peninsula of Michigan using Landsat TM imagery. Int J
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of environmental changes to predict infectious disease outbreaks. Emerg Infect Dis 15(9):
1341–1346. doi:10.3201/eid1509.081334. http://wwwnc.cdc.gov/eid/article/15/9/08-1334
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region lakes. Limnol Oceanogr 34:1656–1672
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of CDOM by remote sensing of optically complex inland waters. Remote Sens Environ 155.
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30. Spencer RGM, Butler KD, Aiken GD (2012) Dissolved organic carbon and chromophoric
dissolved organic matter properties of rivers in the USA. J Geophys Res 117, G03001. doi:10.
1029/2011JG001928
31. Kloiber SM, Brezonik PL, Olmanson LG, Bauer ME (2002) A procedure for regional lake
water clarity assessment using Landsat multispectral data. Remote Sens Environ 82:38–47
32. Olmanson LG, Bauer ME, Brezonik PL (2008) A 20-year Landsat water clarity census of
Minnesota’s 10,000 lakes. Remote Sens Environ 112(11):4086–4097. doi:10.1016/j.rse.2007.
12.013
33. Chipman JW, Lillesand TM, Schmaltz JE, Leale JE, Nordheim MJ (2004) Mapping lake water
clarity with Landsat images in Wisconsin, USA. Can J Remote Sens 30:1–7
136
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of UV/Visible diffuse attenuation coefficients from ocean colour. Remote Sens Environ 112:
1584–1602
17. Doerffer R, Schiller H (2008) MERIS lake water algorithm for BEAM ATBD, GKSS Research
Center, Geesthacht, Version 1.0, 10 June 2008
18. Doerffer R, Schiller H (2008) MERIS regional, coastal and lake case 2 water project—
atmospheric correction ATBD, GKSS Research Center, Geesthacht, Version 1.0, 18 May 2008
19. The European Space Agency Envisat Project (2014) Brockmann Consult: BEAM earth
observation toolbox and development platform, documentation pages. http://www.
brockmann-consult.de/cms/web/beam/documentation. Accessed 28 Aug 2014
20. Klemas V (2013) Remote sensing of emergent and submerged wetlands: an overview. Int J
Remote Sens 34(18):6286–6320. doi:10.1080/01431161.2013.800656
21. Sawaya K, Olmanson L, Heinert N, Brezonik PL, Bauer ME (2003) Extending satellite remote
sensing to local scales: land and water resource monitoring using high-resolution imagery.
Remote Sens Environ 88:144–156
22. Chipman JW, Olmanson LG, Gitelson AA (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, p 132
23. Vincent RK, McKay RM, Al-Rshaidat MMD, Czajkowski K, Bridgeman T, Savino J (2005)
Mapping the bacterial content of surface waters with Landsat TM data: importance for
monitoring global surface sources of potable water. In: Proceedings ASPRS Pecora 16: global
priorities in land remote sensing, Oct 23–27, 2005, Sioux Falls, SD, p 6
24. Torbick N, Hession S, Hagen S, Wiangwang N, Becker B, Qi J (2013) Mapping inland lake
water quality across the Lower Peninsula of Michigan using Landsat TM imagery. Int J
Remote Sens 34(21):7607–7624. doi:10.1080/01431161.2013.822602
25. Blue Water Satellite, Inc. (2013) White paper: total phosphorus water monitoring using satellite
imagery. http://bluewatersatellite.com/resources/js/tinymce/jscripts/tiny_mce/plugins/uploaded/
How%20Satellite%20Images%20Provide%20Total%20Phosphorus%20Monitoring%20White
%20Paper.pdf. Accessed 28 Aug 2014
26. Bukata RP (2005) Satellite monitoring of inland and coastal water quality retrospection,
introspection, future directions. CRC, Boca Raton, p 272
27. Ford TE, Colwell RR, Rose JB, Morse SS, Rogers DJ, Yates TL (2009) Using satellite images
of environmental changes to predict infectious disease outbreaks. Emerg Infect Dis 15(9):
1341–1346. doi:10.3201/eid1509.081334. http://wwwnc.cdc.gov/eid/article/15/9/08-1334
28. Vertucci FA, Likens GE (1989) Spectral reflectance and water quality of Adirondack Mountain
region lakes. Limnol Oceanogr 34:1656–1672
29. Brezonik PL, Olmanson LG, Finlay JC, Bauer ME (2014) Factors affecting the measurement
of CDOM by remote sensing of optically complex inland waters. Remote Sens Environ 155.
doi:10.1016/j.rse.2014.04.033
30. Spencer RGM, Butler KD, Aiken GD (2012) Dissolved organic carbon and chromophoric
dissolved organic matter properties of rivers in the USA. J Geophys Res 117, G03001. doi:10.
1029/2011JG001928
31. Kloiber SM, Brezonik PL, Olmanson LG, Bauer ME (2002) A procedure for regional lake
water clarity assessment using Landsat multispectral data. Remote Sens Environ 82:38–47
32. Olmanson LG, Bauer ME, Brezonik PL (2008) A 20-year Landsat water clarity census of
Minnesota’s 10,000 lakes. Remote Sens Environ 112(11):4086–4097. doi:10.1016/j.rse.2007.
12.013
33. Chipman JW, Lillesand TM, Schmaltz JE, Leale JE, Nordheim MJ (2004) Mapping lake water
clarity with Landsat images in Wisconsin, USA. Can J Remote Sens 30:1–7
136
L.G. Olmanson et al.