Abstract
Coastal regions across the world are the most densely populated areas that exert significant pressure on the water quality of the region. The rapid urbanization and industrialization add increasingly to the pollutants that alter the coastal water quality. Operational monitoring of water quality is exhaustive and cost-sensitive exercise that is imperative for sustainable management. With the advent of numerous high-resolution satellites and open data policies being followed by various space agencies, remote sensing of water quality has become robust and an important technique for researchers and managers. Chlorophyll-a concentration suspended sediment concentration and turbidity are some of the water quality parameters that could be derived from the satellite observations. The present study addresses the assessment of water quality using remote sensing for selected locations along the east coast (Hooghly estuary) and the west coast (Cochin backwaters). The impact of tropical cyclone ‘Bulbul’ on the water quality of the Hooghly estuary and the effect of COVID-19 induced lockdown during 2020 for the Cochin backwaters are considered as case studies to demonstrate the application of satellite remote sensing in the estimation of coastal water quality parameters.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Babin SM, Carton JA, Dickey JA, Wiggert JD (2004) Satellite evidence of hurricane-induced phytoplankton blooms in an oceanic desert. J Geophys Res 109:C03043. https://doi.org/10.1029/2003JC001988
Cai L, Liu P, Zhi C (2008) Discussion on remote sensing based on water quality monitoring methods. Geomat Spat Inf Technol 31:68–73. https://doi.org/10.3969/j.issn.1672-5867.2008.04.021
Chacko N (2017) Chlorophyll bloom in response to tropical cyclone Hudhud in the Bay of Bengal: Bio-Argo subsurface observations. Deep Sea Res 1(124), 66–72. https://doi.org/10.1016/j.dsr.2017.04.010
Chacko N (2019) Differential chlorophyll blooms induced by tropical cyclones and ther relation to cyclone characteristics and ocean pre-conditions in the Indian Ocean. J Earth Syst Sci 128:177. https://doi.org/10.1007/s12040-019-1207-5
Franz BA, Bailey SW, Kuring N, Werdell JP (2015) Ocean color measurements with the Operational Land Imager on Landsat-8: implementation and evaluation in SeaDAS. J Appl Remote Sens 9, 096070. https://doi.org/10.1117/1.JRS.9.096070
Gholizadeh MH, Melesse AM, Reddi L (2016) A comprehensive review on water quality parameters estimation using remote sensing techniques. Sensors 16:1298. https://doi.org/10.3390/s16081298
Gierach MM, Subrahmanyam B (2008) Biophysical responses of the upper ocean to major Gulf of Mexico hurricanes in 2005. J Geophys Res 113:C04029. https://doi.org/10.1029/2007JC004419
Hafeez S, Wong MS, Abbas S, Kwok CYT, Nichol J, Lee KH, Tang D, Pun L (2019) Detection and monitoring of marine pollution using remote sensing technologies. In: Fouzia HB (ed) Monitoring of marine pollution. IntechOpen. https://doi.org/10.5772/intechopen.76739
Havens KE, Beaver JR, Casamatta DA, East TL, James RT, Mccormick P, Phlips EJ, Rodusky AJ (2011) Hurricane effects on the planktonic food web of a large subtropical lake. J Plankton Res 33:1081–1094
Mallin MA, Posey MH, McIver MR, Parsons DC, Ensign SH, Alphin TD (2002) Impacts and recovery from multiple hurricanes in a Piedmont-coastal plain river system. Biosciences 52:999–1010
Manna S, Chaudhuri K, Bhattacharya S, Bhattacharya M (2010) Dynamics of Sundarban estuarine ecosystem: eutrophication induced threat to mangroves. Aquat Biosyst 6:8. https://doi.org/10.1186/1746-1448-6-8
Martins VS, Barbosa CCF, DeCaralho LAS, Jorge DSF, Lobo FDL, Novo EML (2017) Assessment of atmospheric correction methods for sentinel-2 MSI images applied to Amazon flood plain lakes. Remote Sens 9:322. https://doi.org/10.3390/rs9040322
Mitra A, Gangopadhayay V, Dube A, Schmidt ACK, Banerjee K (2009) Observed changes in water mass properties in the Indian Sundarbans (north-western Bay of Bengal) during 1980–2007. Curr Sci 97:1445–1452
Mukhopadhyay SK, Biswas H, De T, Jana TK (2006) Fluxes of nutrients from the tropical River Hooghly at the land-ocean boundary of Sundarbans, NE Coast of Bay of Bengal. J Mar Syst 62:9–21. https://doi.org/10.1016/j.jmarsys.2006.03.004
Nazeer M, Bilal M, Nichol JE, Wu W, Alsahli MMM, Shahzad MI et al (2020) First experiences with the Landsat-8 aquatic reflectance product: evaluation of the regional and ocean color algorithms in a coastal environment. Remote Sens 12:1938
Nechad B, Ruddick KG, Neukermans G (2009) Calibration and validation of a generic multi sensor algorithm for map** of turbidity in coastal waters. In: Ch R Bostater SP Jr, Mertikas XN, Velez-Reyes M (eds) SPIE, remote sensing of the ocean, sea ice, and large water regions, vol 7473. Berlin, Germany, p 74730H
Nechad B, Ruddick K, Park Y (2010) Calibration and validation of a generic multi-sensor algorithm for map** of total suspended matter in turbid waters. Remote Sens Environ 114:854–866. https://doi.org/10.1016/j.rse.2009.11.022
Poddar S, Chacko N, Swain D (2019) Estimation of chlorophyll-a in the northern coastal Bay of Bengal using Landsat-8 OLI and Sentinel-2 MSI sensors. Front Mar Sci 6:598. https://doi.org/10.3389/fmars.2019.00598
Ray R, Rixen T, Baum A, Malik A, Gleixner G, Jana TK (2015) Distribution, sources and biogeochemistry of organic matter in a mangrove dominated estuarine system (Indian Sundarabans) during the pre-monsoon. Estuarine Coastal Shelf Sci 167:404–413. https://doi.org/10.1016/j.ecss.2015.10.017
Ritchie JC, Zimba PV, Everitt JH (2003) Remote sensing techniques to assess water quality. Photogramm Eng Remote Sens 69:695–704
Roshith CM, Meena DK, Manna RK, Sahoo AK, Swain HS, Raman RK, Sengupta A, Das BK (2018) Phytoplankton community structure of the Gangetic (Hooghly-Matla) estuary: status and ecological implications in relation to eco-climatic variability. Flora 240:133–143. https://doi.org/10.1016/j.flora.2018.01.001
Saraswat R, Saraswat DA (2020) Research opportunities in pandemic lockdown. Science 368:594–595. https://doi.org/10.1126/science.abc3372
Shelby JD, Chescheir GM, Skaggs RW, Amatya DM (2006) Hydrologic and water quality response of forested and agricultural lands during the 1999 extreme weather conditions in Eastern North Carolina. Am Soc Agricult Eng 48:2179–2188
Shivaprasad A, Vinita J, Revichandran C, Reny PD, Deepak MP, Muraleedharan KR, Naveen Kumar KR (2013a) Seasonal stratification and property distributions in a tropical estuary (Cochin estuary, west coast, India). Hydrol Earth Syst Sci 17:187–199. https://doi.org/10.5194/hess-17-187-2013
Shivaprasad A, Vinita J, Revichandran C, Manoj NT, Srinivas K, Reny PD, Ashwini R, Muraleedharan KR (2013b) Influence of saltwater barrage on tides, salinity and chlorophyll-a in Cochin estuary, India. J Coastal Res 29:1382–1390. https://doi.org/10.2112/JCOASTRES-D-12-00067.1
Srichandan S, Kim JY, Kumar A, Mishra DR, Bhadury P, Muduli PR, Pattnaik AK, Rastogi G (2015) Interannual and cyclone-driven variability in phytoplankton communities of a tropical coastal lagoon. Mar Pollut Bull 101:39–52
Subrahmanyam B, Rao KH, Rao NS, Murty VSN, Sharp RJ (2002) Influence of a tropical cyclone on Chlorophyll-a concentration in the Arabian Sea. Geophys Res Lett 29:2065. https://doi.org/10.1029/2002GL015892
Thasneem TA, Nandan SB, Geetha PN (2018) Water quality status of Cochin estuary, India. Indian J Geo-Mar Sci 47:978–989
Vanhellemont Q, Ruddick K (2018) Atmospheric correction of metre-scale optical satellite data for inland and coastal water applications. Remote Sens Environ 216:586–597. https://doi.org/10.1016/j.rse.2018.07.015
Vanhellemont Q (2019) Adaptation of the dark spectrum fitting atmospheric correction for aquatic applications of the Landsat and Sentinel-2 archives. Remote Sens Environ 225:175–192. https://doi.org/10.1016/j.rse.2019.03.010
Vishnu PS, Shaju SS, Tiwari SP, Menon N, Nashad M, Joseph CA, Raman M, Hatha M, Prabhakaran MP, Mohandas A (2018) Seasonal variability in bio-optical properties along the coastal waters off Cochin. Int J Appl Earth Obs Geoinf 66:184–195. https://doi.org/10.1016/j.jag.2017.12.002
Williams CJ, Boyer JN, Jochem FJ (2008) Indirect hurricane effects on resource availability and microbial communities in a subtropical wetland–estuary transition zone. Estuaries Coasts 31:204–214
Yunus AP, Masago Y, Hijoka Y (2020) COVID-19 and surface water quality: improved lake water quality due to the lockdown. Sci Total Environ 731:13902. https://doi.org/10.1016/j.scitotenv.2020.139012
Acknowledgements
Authors thank the USGS and ESA for making available the Landsat—8/OLI and Sentinel-2 A/B datasets. We are also thankful to the RBIN team for the development and distribution of the ACOLITE package. Authors thank the Head (Applications) and the General Manager, RRSC-East for the support.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Jayaram, C., Chacko, N., Chowdary, V.M. (2022). Estimation of Water Quality Parameters Along the Indian Coast Using Satellite Observations. In: Pandey, A., Chowdary, V.M., Behera, M.D., Singh, V.P. (eds) Geospatial Technologies for Land and Water Resources Management. Water Science and Technology Library, vol 103. Springer, Cham. https://doi.org/10.1007/978-3-030-90479-1_22
Download citation
DOI: https://doi.org/10.1007/978-3-030-90479-1_22
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-90478-4
Online ISBN: 978-3-030-90479-1
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)