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Journal of the Indian Society of Remote Sensing

, Volume 47, Issue 1, pp 177–183 | Cite as

Development of Regional Algorithm to Estimate Suspended Sediment Concentration (SSC) Based on the Remotely Sensed Reflectance and Field Observations for the Hooghly Estuary and West Bengal Coastal Waters

  • J. Selvin PitchaikaniEmail author
  • R. Ramakrishnan
  • Prasad K. Bhaskaran
  • D. Ilangovan
  • A. S. Rajawat
Research Article
  • 58 Downloads

Abstract

The present study presents regional algorithm to estimate suspended sediment concentration (SSC) from remote sensing reflectance (Rrs) and field observations for the Hooghly Estuary and coastal waters of West Bengal. The understanding of the suspended sediment concentration along the coastal waters is essential to estimate the environmental impact of erosion and depositional process. The water samples were collected onboard for cloud-free days along the Hooghly Estuary and along the open coast of West Bengal. The field synchronous OCM data are then processed for geometric corrections, and remote sensing reflectance at pixel level is retrieved. The SSC is observed to vary from 35 to 75 mg/l along coastal waters and 24 to 270 mg/l in Hooghly Estuary. The sum of Rrs at 555 and 620 nm is observed to have high correlation with the SSC observed by conventional method. An exponential relation is observed to show better comparison with an R2 value of around 0.74. From observations, it is evident that the reflectance values and SSC for Hooghly Estuary (particularly clay sediment) yielded good correlation than coastal waters for sand sediment concentration. As the regional algorithm developed for the West Bengal coastal area gives better results, this algorithm can used for further research and to estimate SSC in the study area.

Keywords

Hooghly Estuary Sagar Island SSC Remote sensing OCEANSAT West Bengal 

References

  1. Acker, J., Ouillon, S., Gould, R., & Arnone, R. (2005). Measuring marine suspended sediment concentrations from space: History and potential. In Paper presented at the 8th international conference on remote sensing for marine and coastal environments, Halifax, NS, Canada (17–19 May 2005).Google Scholar
  2. Arora, C., Kumar, B. P., Jain, I., Bhar, A., & Narayana, A. C. (2010). Bottom Boundary Layer Characteristics in the Hooghly Estuary Under Combined Wave-Current Action. Marine Geodesy, 33(2), 261–281.Google Scholar
  3. Bhaskaran, P. K., Swetha, M., & Reddy, Subba. (2014). Dredging maintenance plan for the Kolkata port, India. Current Science, 107, 1–12.Google Scholar
  4. Castaing, P., Froidefond, J. M., Lazure, P., Weber, O., Prudhomme, R., & Jouanneau, J. M. (1999). Relationship between hydrology and seasonal distribution of suspended sediments on the continental shelf of the Bay of Biscay. Deep Sea Research Part II: Topical Studies in Oceanography, 46, 1979–2001.CrossRefGoogle Scholar
  5. Chen, J., Zhang, Minwei, Cui, Tingwei, & Wen, Z. (2013). A review of some important technical problems in respect of satellite remote sensing of chlorophyll-a concentration in coastal waters. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(5), 2013.CrossRefGoogle Scholar
  6. Chitra, A., & Bhaskaran, P. K. (2012). Parameterization of bottom friction under combined wave-tide action in the Hooghly estuary, India. Ocean Engineering, 43, 43–55.CrossRefGoogle Scholar
  7. Chitra, A., & Bhaskaran, P. K. (2013). Numerical modeling of suspended sediment concentration and its validation for the Hooghly estuary, India. Coastal Engineering Journal, 55(2), 55.  https://doi.org/10.1142/s057856341350006x.Google Scholar
  8. Clark, J. R. (1995). Coastal zone management handbook. Boca Raton: Lewis Publishers.Google Scholar
  9. Curran, P. J., & Novo, E. M. M. (1988). The relationship between suspended sediment concentration and remotely sensed spectral radiance: A review. Journal of Coastal Research, 4(3), 351–368.Google Scholar
  10. Curran, P. J., & Wilkinson, H. D. (1985). Mapping the concentration and dispersal pattern of dye from a long sea outfall using digitized aerial photography. International Journal of Remote Sensing, 6, 17–31.Google Scholar
  11. Doerffer, R. (1992). Imaging spectroscopy for detection of chlorophyll and suspended matter. In F. Toselli & J. Bodechtel (Eds.), Imaging spectroscopy: Fundamental and prospective applications. Brussel: Springer.Google Scholar
  12. Erico, J. D., Miller, R. L., & Brent, A. M. (2007). Suspended particulate matter in coastal waters from ocean color: A report to the northern Gulf of Mexico. Journal Geophysical Research, 34, L23611.Google Scholar
  13. Gordon, H. R. (1997). Atmospheric correction of ocean color imagery in the earth observing system era. Journal Geophysical Research, 102, 17081–17106.CrossRefGoogle Scholar
  14. Gray, D. H. (1973). Handbook on the principles of hydrology. New York: Water Information Center Inc.Google Scholar
  15. IIT. (2012). Floral and Faunal Diversity in Lower Ganga, Ganga River Basin Environment Management Plan. Report Code GRB EMP : 027, GBP, IIT ENB DAT 04. Ver, Jun 2012.Google Scholar
  16. Miller, R. L., & McKee, B. A. (2004). Using MODIS Terra 250 m imagery to map concentrations of total suspended matter in coastal waters. Remote Sensing of Environment, 93(2004), 259–266.CrossRefGoogle Scholar
  17. Moore, G. F., Aiken, J., & Lavender, S. J. (1999). The atmospheric correction of water colour and the quantitative retrieval of suspended particulate matter in Case II waters: Application to MERIS. International Journal of Remote Sensing, 20(9), 1713–1733.CrossRefGoogle Scholar
  18. Pandya, M. R., Singh, R. P., Murali, K. R., Babu, N., Kirankumar, A. S., & Dadhwal, V. K. (2002). Bandpass solar exoatmospheric irradiance and Rayleigh optical thickness of sensors onboard Indian remote sensing satellites-1B, 1C, 1D and P4. IEEE Transactions on Geoscience and Remote Sensing, 40, 714–718.CrossRefGoogle Scholar
  19. Pradhan, Y., Thomaskutty, A. V., Rajawat, A. S., & Nayak, S. R. (2005). Improved regional algorithm to retrieve total suspended particulate matter using IRS-P4 ocean Colour Monitor data. Journal of Optics A: Pure and Applied Optics, 7, 343–349.CrossRefGoogle Scholar
  20. Quillon, S., Durand, N., Forget, P., Fiandrino, A., & Fraunie, P. (1998). Remote sensing as a tool for suspended sediment transport modelling in coastal areas. In: Third international conference on multiphase flow, Lyon France, June 8–12.Google Scholar
  21. Raaj, R. M., Ramalingam, S. K., Ghosh, S. K., & Kthyari, U. C. (2008). Mapping of suspended sediments using site specific seasonal algorithms. Journal of the Indian Society of Remote Sensing, 36, 61–68.CrossRefGoogle Scholar
  22. Rajawat, A. S., Gupta, M., Pradhan, Y., Thomaskutty, A. V., & Nayak, S. (2005). Coastal processes along the Indian coast-Case studies based on synergistic use of IRS-P4 OCM and IRS-1C/1D data. Indian Journal of Marine Sciences, 34(4), 459–472.Google Scholar
  23. Ramakrishnan, D., Bharti, R., & Das, M. (2013). A technique for estimation of suspended sediment concentration in very high turbid coastal waters: An investigation from Gulf of Cambay, India. Marine Geology, 346, 256–261.CrossRefGoogle Scholar
  24. Rodda, J. C., Downing, R. A., & Law, F. M. (1976). Systematic hydrology. London: Butterworths.Google Scholar
  25. Sravanthi, N., Ramana, I. V., Yunus Ali, P., Ashraf, M., Ali, M. M., & Narayana, A. C. (2013). An algorithm for estimating suspended sediment concentrations in the coastal waters of India using remotely sensed reflectance and its application to coastal environments. International Journal of Environmental Research, 7(4), 841–850.Google Scholar
  26. Sridhar, P. N., Ramana, I. V., Ali, M. M., & Veeranarayana, B. (2008). Understanding the suspended sediment dynamics in the coastal waters of the Bay of Bengal using high resolution ocean colour data. Current Science, 94(11), 1499–1502.Google Scholar
  27. Sydor, M., & Arnone, R. A. (1997). Effect of suspended particulate and dissolved organic matter on remote sensing of coastal and riverine waters. Applied Optics, 36, 6905–6912.CrossRefGoogle Scholar

Copyright information

© Indian Society of Remote Sensing 2018

Authors and Affiliations

  1. 1.Integrated Coastal Zone Management (ICZM) ProjectInstitute of Environmental Studies and Wetland Management (IESWM)Salt Lake City, KolkataIndia
  2. 2.Space Applications CentreIndian Space Research OrganisationAhmedabadIndia
  3. 3.Department of Ocean Engineering and Naval ArchitectureIndian Institute of Technology KharagpurKharagpurIndia
  4. 4.Ocean Engineering DivisionNational Institute of OceanographyDona PaulaIndia

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