53. Randolph KL, Wilson J, Tedesco L, Li L, Pascual L, Soyeux E (2008) Hyperspectral remote
sensing of cyanobacteria in turbid productive water using optically active pigments, chlorophyll a and phycocyanin. Remote Sens Environ 112:4009–4019
54. Vincent RK, Qin X, McKay RM, Miner J, Czajkowski K, Savino J, Bridgeman T (2004)
Phycocyanin detection from Landsat TM data for mapping cyanobacterial blooms in Lake Erie.
Remote Sens Environ 89(3):381–392
55. Wynne TT, Tomlinson MC, Warner RA, Tester PA, Dyble J, Fahnensteil GL (2008) Relating
spectral shape to cyanobacterial blooms in the Laurentian Great Lakes. Int J Remote Sens 29:
3665–3672
56. Wynne TT, Stumpf RP, Tomlinson MC, Dybleb J (2010) Characterizing a cyanobacterial
bloom in western Lake Erie using satellite imagery and meteorological data. Limnol Oceanogr
55:2025–2036
57. Wynne TT, Stumpf RP, Tomlinson MC, Fahnenstiel GL, Dybleb J, Schwab DJ, Joseph-Joshi S
(2013) Evolution of a cyanobacteria bloom forecast system in western Lake Erie: development
and initial evaluation. J Great Lakes Res 39:90–99. doi:10.1016/j.jgir.2012.10.003
58. Lunetta RS, Schaeffer BA, Stumpf RP, Keith D, Jacobs SA, Murphy MS (2014) Evaluation of
cyanobacteria cell count detection derived from MERIS imagery across the eastern USA.
Remote Sens Environ. doi:10.1016/j.rse.2014.06.008
59. Brando VE, Dekker AG, Park YJ, Schroeder T (2012) Adaptive semianalytical inversion of
ocean color radiometry in optically complex waters. Appl Optics 51:2808–2833
60. Carder KL, Chen FR, Lee ZP, Hawes SK, Kamykowski D (1999) Semianalytic moderateresolution imaging spectrometer algorithms for chlorophyll a and absorption with bio-optical
domains based on nitrate-depletion temperatures. J Geophys Res Oceans 104:5403–5421
61. Hoge FE, Lyon PE (1996) Satellite retrieval of inherent optical properties by linear matrix
inversion of oceanic radiance models: an analysis of model and radiance measurement errors.
J Geophys Res Oceans 101:16631–16648
62. Zhu W, Yu Q, Tian YQ, Chen RF, Gardner GB (2011) Estimation of chromophoric dissolved
organic matter in the Mississippi and Atchafalaya river plume regions using above‐surface
hyperspectral remote sensing. J Geophys Res 116, C02011. doi:10.1029/2010JC006523
63. Ficek D, Zapadka T, Dera J (2011) Remote sensing reflectance of Pomeranian lakes and
the Baltic. Oceanologia 53:959–970
64. Xiao YH, Sara-Aho T, Hartikainen H, Va ¨ha ¨talo AV (2013) Contribution of ferric iron to light
absorption by chromophoric dissolved organic matter. Limnol Oceanogr 58:653–662
65. Ko ¨hler SJ, Kothawala D, Futter MN, Liungman O, Tranvik L (2013) In-lake processes offset
increased terrestrial inputs of dissolved organic carbon and color to lakes. PLoS ONE 8(8):
e70598. http://dx.doi.org/10.1371/J.pone.0070598
66. Mu ¨ller RA, Futter MN, Sobek S, Nisell J, Bishop K, Weyhenmeyer GA (2013) Water renewal
along the aquatic continuum offsets cumulative retention by lakes: implications for the
character of organic carbon in boreal lakes. Aquat Sci 75:535–545
67. Helms JR, Stubbins A, Ritchie JD, Minor EC, Kieber DJ, Mopper K (2008) Absorption
spectral slopes and slope ratios as indicators of molecular weight, source, and photobleaching
of chromophoric dissolved organic matter. Limnol Oceanogr 53:955–969
68. Williamson CE, Brentrup JA, Zhang J, Renwick WH, Hargreaves BR, Knoll LB, Overholt EP,
Rose KC (2014) Lakes as sensors in the landscape: optical metrics as scalable sentinel responses
to climate change. Limnol Oceanogr 59:840–850
69. Pace ML, Cole JJ (2002) Synchronous variation of dissolved organic carbon and color in lakes.
Limnol Oceanogr 47:333–342
70. Sobek S, Tranvik LJ, Prairie YT, Kortelainen P, Cole JJ (2007) Patterns and regulation of
dissolved organic carbon: an analysis of 7,500 widely distributed lakes. Limnol Oceanogr 52:
1208–1219
71. Brown D, Warwick R, Skaggs R (1977) Lake condition in east central Minnesota. Minnesota
Land Management Information System Report 5022. Center for Urban and Regional Affairs,
University of Minnesota, Minneapolis
138
L.G. Olmanson et al.
sensing of cyanobacteria in turbid productive water using optically active pigments, chlorophyll a and phycocyanin. Remote Sens Environ 112:4009–4019
54. Vincent RK, Qin X, McKay RM, Miner J, Czajkowski K, Savino J, Bridgeman T (2004)
Phycocyanin detection from Landsat TM data for mapping cyanobacterial blooms in Lake Erie.
Remote Sens Environ 89(3):381–392
55. Wynne TT, Tomlinson MC, Warner RA, Tester PA, Dyble J, Fahnensteil GL (2008) Relating
spectral shape to cyanobacterial blooms in the Laurentian Great Lakes. Int J Remote Sens 29:
3665–3672
56. Wynne TT, Stumpf RP, Tomlinson MC, Dybleb J (2010) Characterizing a cyanobacterial
bloom in western Lake Erie using satellite imagery and meteorological data. Limnol Oceanogr
55:2025–2036
57. Wynne TT, Stumpf RP, Tomlinson MC, Fahnenstiel GL, Dybleb J, Schwab DJ, Joseph-Joshi S
(2013) Evolution of a cyanobacteria bloom forecast system in western Lake Erie: development
and initial evaluation. J Great Lakes Res 39:90–99. doi:10.1016/j.jgir.2012.10.003
58. Lunetta RS, Schaeffer BA, Stumpf RP, Keith D, Jacobs SA, Murphy MS (2014) Evaluation of
cyanobacteria cell count detection derived from MERIS imagery across the eastern USA.
Remote Sens Environ. doi:10.1016/j.rse.2014.06.008
59. Brando VE, Dekker AG, Park YJ, Schroeder T (2012) Adaptive semianalytical inversion of
ocean color radiometry in optically complex waters. Appl Optics 51:2808–2833
60. Carder KL, Chen FR, Lee ZP, Hawes SK, Kamykowski D (1999) Semianalytic moderateresolution imaging spectrometer algorithms for chlorophyll a and absorption with bio-optical
domains based on nitrate-depletion temperatures. J Geophys Res Oceans 104:5403–5421
61. Hoge FE, Lyon PE (1996) Satellite retrieval of inherent optical properties by linear matrix
inversion of oceanic radiance models: an analysis of model and radiance measurement errors.
J Geophys Res Oceans 101:16631–16648
62. Zhu W, Yu Q, Tian YQ, Chen RF, Gardner GB (2011) Estimation of chromophoric dissolved
organic matter in the Mississippi and Atchafalaya river plume regions using above‐surface
hyperspectral remote sensing. J Geophys Res 116, C02011. doi:10.1029/2010JC006523
63. Ficek D, Zapadka T, Dera J (2011) Remote sensing reflectance of Pomeranian lakes and
the Baltic. Oceanologia 53:959–970
64. Xiao YH, Sara-Aho T, Hartikainen H, Va ¨ha ¨talo AV (2013) Contribution of ferric iron to light
absorption by chromophoric dissolved organic matter. Limnol Oceanogr 58:653–662
65. Ko ¨hler SJ, Kothawala D, Futter MN, Liungman O, Tranvik L (2013) In-lake processes offset
increased terrestrial inputs of dissolved organic carbon and color to lakes. PLoS ONE 8(8):
e70598. http://dx.doi.org/10.1371/J.pone.0070598
66. Mu ¨ller RA, Futter MN, Sobek S, Nisell J, Bishop K, Weyhenmeyer GA (2013) Water renewal
along the aquatic continuum offsets cumulative retention by lakes: implications for the
character of organic carbon in boreal lakes. Aquat Sci 75:535–545
67. Helms JR, Stubbins A, Ritchie JD, Minor EC, Kieber DJ, Mopper K (2008) Absorption
spectral slopes and slope ratios as indicators of molecular weight, source, and photobleaching
of chromophoric dissolved organic matter. Limnol Oceanogr 53:955–969
68. Williamson CE, Brentrup JA, Zhang J, Renwick WH, Hargreaves BR, Knoll LB, Overholt EP,
Rose KC (2014) Lakes as sensors in the landscape: optical metrics as scalable sentinel responses
to climate change. Limnol Oceanogr 59:840–850
69. Pace ML, Cole JJ (2002) Synchronous variation of dissolved organic carbon and color in lakes.
Limnol Oceanogr 47:333–342
70. Sobek S, Tranvik LJ, Prairie YT, Kortelainen P, Cole JJ (2007) Patterns and regulation of
dissolved organic carbon: an analysis of 7,500 widely distributed lakes. Limnol Oceanogr 52:
1208–1219
71. Brown D, Warwick R, Skaggs R (1977) Lake condition in east central Minnesota. Minnesota
Land Management Information System Report 5022. Center for Urban and Regional Affairs,
University of Minnesota, Minneapolis
138
L.G. Olmanson et al.