34. Gitelson A, Garbuzov G, Szilagyi F, Mittenzwey K, Karnieli A, Kaiser A (1993) Quantitative
remote sensing methods for real-time monitoring of inland waters quality. Int J Remote Sens
14:1269–1295
35. Matthews MW (2011) A current review of empirical procedures of remote sensing in inland
and near-coastal transitional waters. Int J Remote Sens 32:6855–6899
36. Ha ¨rma ¨ P, Vepsalainen J, Hannonen T, Pyhalahti T, Kamari J, Kallio K, Eloheimo K, Koponen
S (2001) Detection of water quality using simulated satellite data and semi-empirical algorithms in Finland. Sci Total Environ 268:107–121
37. Kallio K, Kutser T, Hannonen T, Koponen S, Pulliainen J, Vepsalainen J, Pyhalahti T (2001)
Retrieval of water quality from airborne imaging spectrometry of various lake types in
different seasons. Sci Total Environ 268:59–77. doi:10.1016/S0048-9697(00)00685-9
38. Koponen S, Attila J, Pulliainen J, Kallio K, Pyha ¨lahti T, Lindfors A, Rasmus K, Hallikainen M
(2007) A case study of airborne and satellite remote sensing of a spring bloom event in the
Gulf of Finland. Cont Shelf Res 27:228–244. doi:10.1016/j.csr.2006.10.006
39. Senay GB, Shafique NA, Autrey BC, Fulk F, Cormier SM (2001) The selection of narrow
wavebands for optimizing water quality monitoring on the Great Miami River, Ohio using
hyperspectral remote sensor data. J Spatial Hydrol 1:1–22
40. Shafique NA, Autrey BC, Fulk FA, Flotemersch JE (2003) Hyperspectral remote sensing of
water quality parameters for large rivers in the Ohio River Basin. In: First interagency
conference on research in the watersheds, Benson, Arizona, October 27–30, 2003. USDA
Agricultural Research Service, Washington DC
41. Ammenberg P, Flink P, Lindell T, Pierson D, Strombeck N (2002) Bio-optical modelling
combined with remote sensing to assess water quality. Int J Remote Sens 23(8):1621–1638.
doi:10.1080/01431160110071860
42. Olmanson LG, Brezonik PL, Bauer ME (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 Sens Environ 130:254–265
43. Morel A, Prieur L (1977) Analysis of variations in ocean color. Limnol Oceanogr 22:709–722
44. Gitelson A (1992) The peak near 700 nm on reflectance spectra of algae and water: relationships of its magnitude and position with chlorophyll concentration. Int J Remote Sens 13(17):
3367–3373
45. Moses WJ, Gitelson AA, Perk RL, Gurlin D, Rundquist DC, Leavitt BC, Barrow TM, Brakhage
P (2011) Estimation of chlorophyll-a concentration in turbid productive waters using airborne
hyperspectral data. Water Res 46(4):993–1004. doi:10.1016/j.watres.2011.11.068
46. Duan HT, Zhang YZ, Zhan B, Song KS, Wang ZM (2007) Assessment of chlorophyll-a
concentration and trophic state for Lake Chagan using Landsat TM and field spectral data.
Environ Monit Assess 129:295–308. doi:10.1007/s10661-006-9362-y
47. Gons HJ (1999) Optical teledetection of chlorophyll a in turbid inland waters. Environ Sci Tech
33:1127–1132. doi:10.1021/es9809657
48. Mittenzwey K, Gitelson A, Ullrich S, Kondratiev K (1992) Determination of chlorophyll a of
inland waters on the basis of spectral reflectance. Limnol Oceanogr 37:147–149
49. Menken K, Brezonik PL, Bauer ME (2006) Influence of chlorophyll and humic color on reflectance spectra of lakes: implications for measurement of lake-water properties by remote sensing.
Lake Reserv Manag 22(3):179–190
50. Moses WJ, Gitelson AA, Berdnikov S, Povazhnyy V (2009) Satellite estimation of chlorophyll-a concentration using the red and NIR bands of MERIS—the Azov Sea case study.
IEEE Geosci Remote Sens Lett 6:845–849. doi:10.1109/LGRS.2009.2026657
51. Minnesota Department of Natural Resources (2014) LakeFinder. http://www.dnr.state.mn.us/
lakefind/index.html. Accessed 28 Aug 2014
52. Schalles J, Yacobi Y (2000) Remote detection and seasonal patterns of phycocyanin, carotenoid and chlorophyll pigments in eutrophic waters. Archives Hydrobiology, special issues.
Adv Limnol 55:153–168
Remote Sensing for Regional Lake Water Quality Assessment: Capabilities and. . .
137
remote sensing methods for real-time monitoring of inland waters quality. Int J Remote Sens
14:1269–1295
35. Matthews MW (2011) A current review of empirical procedures of remote sensing in inland
and near-coastal transitional waters. Int J Remote Sens 32:6855–6899
36. Ha ¨rma ¨ P, Vepsalainen J, Hannonen T, Pyhalahti T, Kamari J, Kallio K, Eloheimo K, Koponen
S (2001) Detection of water quality using simulated satellite data and semi-empirical algorithms in Finland. Sci Total Environ 268:107–121
37. Kallio K, Kutser T, Hannonen T, Koponen S, Pulliainen J, Vepsalainen J, Pyhalahti T (2001)
Retrieval of water quality from airborne imaging spectrometry of various lake types in
different seasons. Sci Total Environ 268:59–77. doi:10.1016/S0048-9697(00)00685-9
38. Koponen S, Attila J, Pulliainen J, Kallio K, Pyha ¨lahti T, Lindfors A, Rasmus K, Hallikainen M
(2007) A case study of airborne and satellite remote sensing of a spring bloom event in the
Gulf of Finland. Cont Shelf Res 27:228–244. doi:10.1016/j.csr.2006.10.006
39. Senay GB, Shafique NA, Autrey BC, Fulk F, Cormier SM (2001) The selection of narrow
wavebands for optimizing water quality monitoring on the Great Miami River, Ohio using
hyperspectral remote sensor data. J Spatial Hydrol 1:1–22
40. Shafique NA, Autrey BC, Fulk FA, Flotemersch JE (2003) Hyperspectral remote sensing of
water quality parameters for large rivers in the Ohio River Basin. In: First interagency
conference on research in the watersheds, Benson, Arizona, October 27–30, 2003. USDA
Agricultural Research Service, Washington DC
41. Ammenberg P, Flink P, Lindell T, Pierson D, Strombeck N (2002) Bio-optical modelling
combined with remote sensing to assess water quality. Int J Remote Sens 23(8):1621–1638.
doi:10.1080/01431160110071860
42. Olmanson LG, Brezonik PL, Bauer ME (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 Sens Environ 130:254–265
43. Morel A, Prieur L (1977) Analysis of variations in ocean color. Limnol Oceanogr 22:709–722
44. Gitelson A (1992) The peak near 700 nm on reflectance spectra of algae and water: relationships of its magnitude and position with chlorophyll concentration. Int J Remote Sens 13(17):
3367–3373
45. Moses WJ, Gitelson AA, Perk RL, Gurlin D, Rundquist DC, Leavitt BC, Barrow TM, Brakhage
P (2011) Estimation of chlorophyll-a concentration in turbid productive waters using airborne
hyperspectral data. Water Res 46(4):993–1004. doi:10.1016/j.watres.2011.11.068
46. Duan HT, Zhang YZ, Zhan B, Song KS, Wang ZM (2007) Assessment of chlorophyll-a
concentration and trophic state for Lake Chagan using Landsat TM and field spectral data.
Environ Monit Assess 129:295–308. doi:10.1007/s10661-006-9362-y
47. Gons HJ (1999) Optical teledetection of chlorophyll a in turbid inland waters. Environ Sci Tech
33:1127–1132. doi:10.1021/es9809657
48. Mittenzwey K, Gitelson A, Ullrich S, Kondratiev K (1992) Determination of chlorophyll a of
inland waters on the basis of spectral reflectance. Limnol Oceanogr 37:147–149
49. Menken K, Brezonik PL, Bauer ME (2006) Influence of chlorophyll and humic color on reflectance spectra of lakes: implications for measurement of lake-water properties by remote sensing.
Lake Reserv Manag 22(3):179–190
50. Moses WJ, Gitelson AA, Berdnikov S, Povazhnyy V (2009) Satellite estimation of chlorophyll-a concentration using the red and NIR bands of MERIS—the Azov Sea case study.
IEEE Geosci Remote Sens Lett 6:845–849. doi:10.1109/LGRS.2009.2026657
51. Minnesota Department of Natural Resources (2014) LakeFinder. http://www.dnr.state.mn.us/
lakefind/index.html. Accessed 28 Aug 2014
52. Schalles J, Yacobi Y (2000) Remote detection and seasonal patterns of phycocyanin, carotenoid and chlorophyll pigments in eutrophic waters. Archives Hydrobiology, special issues.
Adv Limnol 55:153–168
Remote Sensing for Regional Lake Water Quality Assessment: Capabilities and. . .
137