50. Dekker AG, Peters SWM, Vos RJ, Rijkeboer JCJ (2001) Remote sensing for inland water
quality detection and monitoring: state-of-the-art application in Friesland waters. In: Van
Dijk A, Bos MG (eds) GIS and remote sensing technology in land and water management.
Kluwer, Dordrecht, pp 17–38
51. Devred E, Turpie K, Moses W, Klemas VV, Moisan T, Babib M, Toro-Farmer G, Forget MH,
Jo YH (2013) Future retrievals of water column bio-optical properties using the Hyperspectral
Infrared Imager (HyspIRI). Remote Sens 5:6812–6837
52. Kutser T (2009) Passive optical remote sensing of cyanobacteria and other intense phytoplankton blooms in coastal and inland waters. Int J Remote Sens 30(17):4401–4425
53. Braga F, Giardino C, Bassani C, Matta E, Candiani G, Stro ¨mbeck N, Adamo M, Bresciani M
(2013) Assessing water quality in the northern Adriatic Sea from HICO™ data. Remote Sens
Lett 4(10):1028–1037
54. Gitelson AA, Gao BC, Li RR, Berdnikov S, Saprygin V (2011) Estimation of chlorophyll-a
concentration in productive turbid waters using a Hyperspectral Imager for the Coastal
Ocean—the Azov Sea case study. Environ Res Lett 6(2). doi:10.1088/1748-9326/6/2/024023
55. Lee Z, Casey B, Arnone R, Weidemann A, Parsons R, Montes MJ, Gao BC, Goode W,
Davis C, Dye J (2007) Water and bottom properties of a coastal environment derived from
Hyperion data measured from the EO-1 spacecraft platform. J Appl Remote Sens 1(1):011502.
doi:10.1117/1.2822610
56. O ¨ zesmi SL, Bauer ME (2002) Satellite remote sensing of wetlands. Wetl Ecol Manag 10:
381–402
57. Koponen S, Pulliainen J, Kallio K, Hallikainen M (2002) Lake water quality classification with
airborne hyperspectral spectrometer and simulated MERIS data. Remote Sens Environ 79:
51–59
58. Giardino C, Candiani G, Zilioli E (2005) Detecting chlorophyll-a in Lake Garda (Italy) using
TOA MERIS radiances. Photogramm Eng Remote Sens 71(9):1045–1052
59. Salmaso N, Mosello R (2010) Limnological research in the deep southern subalpine lakes:
synthesis, directions and perspectives. Adv Oceanogr Limnol 1:1–47
60. Rossaro B, Boggero A, Lencioni V, Marziali L, Solimini A (2006) Tools for the development
of a benthic quality index for Italian lakes. J Limnol 65(1):41–51
61. Lindell T, Pierson D, Premazzi G (1999) Manual for monitoring European lakes using remote
sensing techniques. EUR Report n.18665 EN. Office for Official Publications of the European
Communities, Luxembourg, p 164
62. Bianchi R, Marino CM, Pignatti S (1994) Airborne hyperspectral remote sensing in Italy. In:
Proceeding SPIE 2318, recent advances in remote sensing and hyperspectral remote sensing,
29. doi:10.1117/12.197243
63. Gianinetto M, Lechi G (2006) A new methodology for in-flight radiometric calibration of the
MIVIS imaging sensor. Ann Geophys-Italy 49(1):65–70
64. Belluco E, Camuffo M, Ferrari S, Modenese L, Silvestri S, Marani A, Marani M (2006)
Mapping salt-marsh vegetation by multispectral and hyperspectral remote sensing. Remote
Sens Environ 105(1):54–67
65. Alberotanza L, Brando VE, Ravagnan G, Zandonella A (1999) Hyperspectral aerial images. A
valuable tool for submerged vegetation recognition in the Orbetello Lagoons, Italy. Int J
Remote Sens 20:523–533
66. Bolpagni R, Bresciani M, Laini A, Pinardi M, Matta E, Ampe EM, Giardino C, Viaroli P,
Bartoli M (2014) Remote sensing of phytoplankton-macrophyte coexistence in shallow
hypereutrophic fluvial lakes. Hydrobiologia 737:67–76
67. Bresciani M, Bolpagni R, Braga F, Oggioni A, Giardino C (2012) Retrospective assessment of
macrophytic communities in southern Lake Garda (Italy) from in situ and MIVIS (Multispectral Infrared and Visible Imaging Spectrometer) data. J Limnol 71(1):180–190
68. Giardino C, Bresciani M, Valentini E, Gasperini L, Bolpagni R, Brando VE (2014) Airborne
hyperspectral data to assess suspended particulate matter and aquatic vegetation in a shallow
and turbid lake. Remote Sens Environ. doi:10.1016/j.rse.2014.04.034
Imaging Spectrometry of Inland Water Quality in Italy Using MIVIS: An Overview
81
quality detection and monitoring: state-of-the-art application in Friesland waters. In: Van
Dijk A, Bos MG (eds) GIS and remote sensing technology in land and water management.
Kluwer, Dordrecht, pp 17–38
51. Devred E, Turpie K, Moses W, Klemas VV, Moisan T, Babib M, Toro-Farmer G, Forget MH,
Jo YH (2013) Future retrievals of water column bio-optical properties using the Hyperspectral
Infrared Imager (HyspIRI). Remote Sens 5:6812–6837
52. Kutser T (2009) Passive optical remote sensing of cyanobacteria and other intense phytoplankton blooms in coastal and inland waters. Int J Remote Sens 30(17):4401–4425
53. Braga F, Giardino C, Bassani C, Matta E, Candiani G, Stro ¨mbeck N, Adamo M, Bresciani M
(2013) Assessing water quality in the northern Adriatic Sea from HICO™ data. Remote Sens
Lett 4(10):1028–1037
54. Gitelson AA, Gao BC, Li RR, Berdnikov S, Saprygin V (2011) Estimation of chlorophyll-a
concentration in productive turbid waters using a Hyperspectral Imager for the Coastal
Ocean—the Azov Sea case study. Environ Res Lett 6(2). doi:10.1088/1748-9326/6/2/024023
55. Lee Z, Casey B, Arnone R, Weidemann A, Parsons R, Montes MJ, Gao BC, Goode W,
Davis C, Dye J (2007) Water and bottom properties of a coastal environment derived from
Hyperion data measured from the EO-1 spacecraft platform. J Appl Remote Sens 1(1):011502.
doi:10.1117/1.2822610
56. O ¨ zesmi SL, Bauer ME (2002) Satellite remote sensing of wetlands. Wetl Ecol Manag 10:
381–402
57. Koponen S, Pulliainen J, Kallio K, Hallikainen M (2002) Lake water quality classification with
airborne hyperspectral spectrometer and simulated MERIS data. Remote Sens Environ 79:
51–59
58. Giardino C, Candiani G, Zilioli E (2005) Detecting chlorophyll-a in Lake Garda (Italy) using
TOA MERIS radiances. Photogramm Eng Remote Sens 71(9):1045–1052
59. Salmaso N, Mosello R (2010) Limnological research in the deep southern subalpine lakes:
synthesis, directions and perspectives. Adv Oceanogr Limnol 1:1–47
60. Rossaro B, Boggero A, Lencioni V, Marziali L, Solimini A (2006) Tools for the development
of a benthic quality index for Italian lakes. J Limnol 65(1):41–51
61. Lindell T, Pierson D, Premazzi G (1999) Manual for monitoring European lakes using remote
sensing techniques. EUR Report n.18665 EN. Office for Official Publications of the European
Communities, Luxembourg, p 164
62. Bianchi R, Marino CM, Pignatti S (1994) Airborne hyperspectral remote sensing in Italy. In:
Proceeding SPIE 2318, recent advances in remote sensing and hyperspectral remote sensing,
29. doi:10.1117/12.197243
63. Gianinetto M, Lechi G (2006) A new methodology for in-flight radiometric calibration of the
MIVIS imaging sensor. Ann Geophys-Italy 49(1):65–70
64. Belluco E, Camuffo M, Ferrari S, Modenese L, Silvestri S, Marani A, Marani M (2006)
Mapping salt-marsh vegetation by multispectral and hyperspectral remote sensing. Remote
Sens Environ 105(1):54–67
65. Alberotanza L, Brando VE, Ravagnan G, Zandonella A (1999) Hyperspectral aerial images. A
valuable tool for submerged vegetation recognition in the Orbetello Lagoons, Italy. Int J
Remote Sens 20:523–533
66. Bolpagni R, Bresciani M, Laini A, Pinardi M, Matta E, Ampe EM, Giardino C, Viaroli P,
Bartoli M (2014) Remote sensing of phytoplankton-macrophyte coexistence in shallow
hypereutrophic fluvial lakes. Hydrobiologia 737:67–76
67. Bresciani M, Bolpagni R, Braga F, Oggioni A, Giardino C (2012) Retrospective assessment of
macrophytic communities in southern Lake Garda (Italy) from in situ and MIVIS (Multispectral Infrared and Visible Imaging Spectrometer) data. J Limnol 71(1):180–190
68. Giardino C, Bresciani M, Valentini E, Gasperini L, Bolpagni R, Brando VE (2014) Airborne
hyperspectral data to assess suspended particulate matter and aquatic vegetation in a shallow
and turbid lake. Remote Sens Environ. doi:10.1016/j.rse.2014.04.034
Imaging Spectrometry of Inland Water Quality in Italy Using MIVIS: An Overview
81