Articles | Volume 10, issue 12
Model evaluation paper
30 Nov 2017
Model evaluation paper |  | 30 Nov 2017

A Landsat-based model for retrieving total suspended solids concentration of estuaries and coasts in China

Chongyang Wang, Shuisen Chen, Dan Li, Danni Wang, Wei Liu, and Ji Yang

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Cited articles

Bailey, S. W. and Werdell, P. J.: A multi-sensor approach for the on-orbit validation of ocean color satellite data products, Remote Sens. Environ., 102, 12–23,, 2006.
Binding, C. E., Jerome, J. H., Bukata, R. P., and Booty, W. G.: Suspended particulate matter in Lake Erie derived from MODIS aquatic colour imagery, Int. J. Remote Sens., 31, 5239–5255,, 2010.
Binding, C. E., Greenberg, T. A., and Bukata, R. P.: An Analysis of MODIS-Derived Algal and Mineral Turbidity in Lake Erie, J. Great Lakes Res., 38, 107–116,, 2012.
Caballero, I., Morris, E. P., Ruiz, J., and Navarro, G.: Assessment of suspended solids in the Guadalquivir estuary using new DEIMOS-1 medium spatial resolution imagery, Remote Sens. Environ., 146, 148–158,, 2014.
Chander, G., Markham, B. L., and Helder, D. L.: Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors, Remote Sens. Environ., 113, 893–903,, 2009.
Short summary
Monitoring total suspended solids (TSS) concentration from satellites has unique advantages. Although many TSS retrieval models have been published, the general inversion method that is applicable to different field conditions is still under research. We studied many previous different satellite sensors models and finally developed a new model.