Abstract
Currently there are numerous efforts underway to improve the understanding of physical, chemical and biological characteristics of waters including remote sensing techniques. Remotely sensed data give information on the interaction between solar radiation, sea water and the different substances contained within it. Remote sensing methods can be used to determine water quality parameters, such as the trophic state, Secchi depth, turbidity, concentration of chlorophyll-a or suspended inorganic matter. The study area—Hudson/Raritan Estuary is one of the most productive regions in the world and it is declared as a major natural and scenic resource to both NY and NJ. At the same time, it is one of the most intensively developed and industrialized estuaries in the world. With increasingly sophisticated sensors, better data, and improved algorithms, water quality parameters–phytoplankton detection and species identification can be accurately determined. Remote sensing as a monitoring/management tool can complement the local and state government efforts in combating the factors attributed to water pollution control infrastructure.
Keywords
- Remote sensing techniques
- Water quality parameters
- Trophic state
- Secchi depth
- Turbidity
- Phytoplankton
- Chlorophyll-a
- Total suspended matter (TSM)
- Colored dissolve organic matter (CDOM)
- Monitoring
- Inherent optical properties (IOP)
- Electromagnetic energy
- Algal bloom
- Case 1 and case 2 waters
- Videography
- Multispectral data
- Imaging spectroscopy
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Aguirre-Gomez R, Boxal SR, Weeks AR (1995) Identification of algal pigments using high order derivatives. IEEE Proc 2084–2086
Bagheri S, Zetlin C, Dios R (1999) Estimation of optical properties of nearshore waters. Int J Remote Sensing 20:3393–3397
Bagheri S, Peters S, Yu T (2005) Retrieval of marine water constitutes from AVIRIS data in the Hudson/Raritan Estuary. Int J Remote Sens 26(18):4013–4027
Ben Dor E, Malthus T, Plaza A, Schläpfer D (2012) Hyperspectral remote sensing. Wiley, New York, pp 1160
Brando Vittorio E, Dekker Arnold G (2003) Satellite hyperspectral remote sensing for estimating estuarine and coastal water quality. IEEE Trans Geosci Remote Sens 41(6):1378
Dekker AG, Stuart RP, Anstee J, Bissett P, Brando VE, Casey B, Fearns P, Hedley J, Klonowski W, Lee ZP, Lynch M, Lyons M, Mobley M, Roelfsem C (2011) Intercomparison of shallow water bathymetry, hydro-optics, and benthos mapping techniques in Australian and Caribbean coastal environments. www.aslo.org/lomethods/free/2011/0396.html
Gordon HR, Morel AY (1983) Remote assessment of ocean color for interpretation of satellite visible imagery, a review, in lecture notes on coastal and estuarine studies. Springer, New York, pp 144
Gordon HR, Brown OB, Jacobs MM (1975) Computed Relationships between inherent and apparent optical properties of a flat homogeneous ocean. Appl Optics 14:417–427
Green and Betina Pavri (2001) AVIRIS Inflight calibration experiment results for 2001. NASA/JPL, AVIRIS Workshop
Hoge FE, Wright CW, Lyon PE, Swift RN, Yungel JK (1999) Satellite retrieval of inherent optical properties by inversion of an oceanic radiance model: A preliminary algorithm. Appl Opt 38(3):495–504
EPA (2002) http://water.epa.gov/polwaste/wastewater/treatment/upload/2002_06_28_wquality_chap06.pdf. http://water.epa.gov/type/watersheds/monitoring/bioassess.cfm
IOCCG (2000) Remote sensing of ocean colour in coastal, and other optically-complex, waters. Sathyendranath, S. (ed.), Reports of the International Ocean-Colour Coordinating Group, No. 3, IOCCG, Dartmouth, Canada
Kirk J (1994) Light and photosynthesis in aquatic ecosystems. Cambridge University Press
Lee C, Landgrebe DA (1993). Feature extraction based on decision boundaries. IEEE Trans Geosci Remote Sensing 15(4):388–400
Marshall H, Cohn M (1987) Phytoplankton composition of the New York bight and adjacent waters. J Plankton Res 9(2):267–276
Mobley CD, Stramski D, Bissett WP, Boss E (2004) Optical modeling of ocean waste—Is case 1 case 2 classification still useful? Oceanography 65
Morel A, Prieur L (1997) Analysis of variations in ocean color. Limnol Oceanogr 22:709–722
Morel A, Gordon HR (1980) Report of the working group on ocean color. Boundary Layer Meteoroid 18:343–355
NationalGeographic: (http://education.nationalgeographic.com/education/encyclopedia/estuary/?ar_a=1)
O’Shea ML, Brosnan TM (1997) New York harbor water quality survey. Main report and appendices 1995. New York Department of Environmental Protection, Bureau of Wastewater Pollution Control, Division of Scientific Services, Marine Sciences Section, Wards Island, NY
Pearlman J, Carman S, Lee P, Liao L, Segal C (1999) Hyperion imaging spectrometer on the new millennium program earth orbiter-1 system. In: Proceedings of International Symposium on Spectral Sensing Research (ISSSR), Systems and Sensors for the New Millennium, published on CD-ROM, International Society for Photogrammetry and Remote Sensing (ISPRS)
Randle E (1982) National reserve system and transferable development rights: is the New Jersey Pinelands Plan an unconstitutional taking? BC Envtl Aff L Rev 10:183
Richardson L (2000) Hyperspectral remote sensing of the ocean; Volume 4154; 115–123; (SEE 20010092254). NOAA: http://www.lib.noaa.gov/about/news/fan_04152010.pdf
Sieburth J, Johnson P, Hargraves P (1988) Ultrastructure and ecology of Aureococcus anophageferens gen. et sp. nov. (Chrysophyceae): the dominant picoplankter during a bloom in Narragansett Bay, Rhode Island, Summer 1985. J Phycol 24(3):416–425
Thomann et al (1992) Environmental toxicology and risk assessment, 3(1218)
Ustin SL, Zarco-Tejada PJ, Asner GP (2011) The role of hyperspectral data in understanding the global carbon cycle NASA/JPL, Aviris Workshop
Walker W, McNutt R, Maslanka C (1999) The potential contribution of urban runoff to surface sediments of the Passaic River: sources and chemical characteristics. Chemosphere 38(2):363–377
Wright D, Bartlett D (2000) Marine and coastal geographical information systems. CRC
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2017 The Author(s)
About this chapter
Cite this chapter
Bagheri, S. (2017). Introduction. In: Hyperspectral Remote Sensing of Nearshore Water Quality. SpringerBriefs in Environmental Science. Springer, Cham. https://doi.org/10.1007/978-3-319-46949-2_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-46949-2_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-46947-8
Online ISBN: 978-3-319-46949-2
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)