Kaliraj, S. and Chandrasekar, N.: Spectral recognition techniques and MLC of
IRS P6 LISS III image for coastal landforms extraction along South West Coast
of Tamilnadu, India, Bonfring, Int. J. Adv. Image Process., 2, 01–07, 2012.
Kaliraj, S., Chandrasekar, N., and Magesh, N. S.: Impacts of wave energy and
littoral currents on shoreline erosion/accretion along the south-west coast of
Kanyakumari, Tamil Nadu using DSAS and geospatial technology, Environ. Earth
Sci., 8, 239–253, https://doi.org/10.1007/s12665-013-2845-6, 2013a.
Kaliraj, S., Chandrasekar, N., and Magesh, N. S.: Evaluation of coastal erosion
and accretion processes along the southwest coast of Kanyakumari, Tamil Nadu
using geospatial techniques, Arab. J. Geosci., 71, 4523–4542, https://doi.org/10.1007/s12517-013-1216-7, 2013b.
Katlane, R., Nechad, B., Ruddick, K., and Zargouni, F.: Optical remote sensing
of turbidity and total suspended matter in the Gulf of Gabes, Arab. J. Geosci.,
6, 1527–1535, 2013.
Kisi, O.: Modeling discharge-suspended sediment relationship using least square
support vector machine, J. Hydrol., 456–457, 110–120, 2012.
Kronvang, B., Laubel, A., and Grant, R.: Suspended Sediment and Particulate
Phosphorus Transport and Delivery Pathways in an Arable Catchment, Gelbaek
Stream, Denmark, Hydrol. Process., 11, 627–642, 1997.
Marcus, W. A. and Fonstad, M. A.: Remote sensing of rivers: the emergence of a
subdiscipline in the river sciences, Earth Surf. Proc. Land., 35, 1867–1872, 2010.
Meteorological Center: IMD, Thiruvananthapuram, available at:
https://www.imdtvm.gov.in (last access: January 2017), 2018.
Moore, G. K.: Satellite remote sensing of water turbidity/Sonde de
télémesure par satellite de la turbidité de l'eau, Hydrolog. Sci.
Bull., 25, 407–421, 1980.
Nechad, B., Ruddick, K., and Park, Y.: Calibration and validation of a generic
multi-sensor algorithm for mapping of total suspended matter in turbid waters,
Remote Sens. Environ., 114, 854–866, 2010.
Neukermans, G., Ruddick, K., Bernard, E., Ramon, D., Nechad, B., and Deschamps,
P .Y.: Mapping total suspended matter from geostationary satellites: a
feasibility study with SEVIRI in the Southern North Sea, Opt. Express, 17, 14029–14052, 2009.
Ontowirjo, B., Paris, R., and Mano, A.: Modeling of coastal erosion and sediment
deposition during the 2004 Indian Ocean tsunami in Lhok Nga, Sumatra, Indonesia,
Nat. Hazards, 65, 1967–1979, 2013.
Panwar, S., Agarwal, V., and Chakrapani, G. J.: Morphometric and sediment source
characterization of the Alaknanda river basin, headwaters of river Ganga, India,
Nat. Hazards, 87, 1649–1671, 1–23, 2017.
Qu, L.: Remote sensing suspended sediment concentration in the Yellow River,
PhD dissertation paper 383, University of Connecticut, available at:
http://digitalcommons.uconn.edu/dissertations/383/, last access: December 2014.
Rawat, Pradeep K., Tiwari, P. C., Pant, C. C., Sharama, A. K., and Pant, P. D.:
Modelling of stream run-off and sediment output for erosion hazard assessment
in Lesser Himalaya: need for sustainable land use plan using remote sensing and
GIS: a case study, Nat. Hazards, 59, 1277–1297, 2011.
Sinha, P. C., Guliani, Pragya, Jena, G. K., Rao, A. D., Dube, S. K., Chatterjee,
A. K., and Murty, T.: A Breadth Averaged Numerical Model for Suspended Sediment
Transport in Hooghly Estuary, East Coast of India, Nat. Hazards, 32, 239–255, 2004.
Tassan, S.: A procedure to determine the particulate content of shallow water
from Thematic Mapper data, Int. J. Remote Sens., 19, 557–562, 1998.
Wang, J. J. and Lu, X. X.: Estimation of suspended sediment concentrations
using Terra MODIS: an example from the Lower Yangtze River, China, Sci. Total
Environ., 408, 1131–1138, 2010.
Warrick, J. A., Merters, L. A. K., Siegel, D. A., and Mackenzie, C.: Estimating
suspended sediment concentrations in turbid coastal waters of the Santa Barbara
Channel with SeaWiFS, Int. J. Remote Sens., 25, 1995–2002, 2004.
Whitelock, C. H., Witte, W. G., Taly, T. A., Morris, W. D., Usry, J. W., and
Poole, L. R.: Research for reliable quantification of water sediment concentrations
from multispectral scanner remote sensing data, NASA-TM-82372, US National
Aeronautics and Space Administration, Langley Research Center, Hampton, VA, 243–255, 1981.
Yanjiao, W., Feng, Y., Peiqun, Z., and Wenjie, D.: Experimental research on
quantitative inversion models of suspended sediment concentration using remote
sensing technology, Chinese Geogr. Sci., 17, 243–249, 2007.
Zhang, Y., Pulliainen, J., Koponen, S., and Hallikainen, M.: Water quality
retrievals from combined Landsat TM data and ERS-2 SAR data in the Gulf of
Finland, IEEE T. Geosci. Remote, 41, 622–629, 2003.
