Evaluation of satellite remote sensing for operational monitoring of sediment plumes produced by dredging at Hay Point, Queensland, Australia

This study describes the potential of multi-temporal Landsat Thematic Mapper (TM), Enhanced Thematic Mapper Plus (ETM+) and Moderate Resolution Imaging Spectroradiometer (MODIS) data for the operational monitoring of sediment plume produced by dredging between 8 May and 31 October 2006 at Hay Point, Northern Queensland, Australia. The methodology involved atmospheric correction of the TM, ETM+ and MODIS images, the development and verification of a Total Suspended Sediment (TSS) model, and the evaluation of the image derived TSS maps for tracking sediment plume movements and its influence on the fringing coral environment. TSS empirical models are developed from TM/ETM+ Band 3 with R 2 = 0.92 and from MODIS Band 12 with R 2 = 0.61. The accuracy of the TSS model for TM/ETM+ is {plus minus} 3.2 (mg l -1) and for MODIS is {plus minus} 16.0 (mg l -1). The estimated sediment plume displacement and rate of dispersion show high correlation with the tidal amplitude. Wind speed greater than 6 m s -1 increases the sediment plume movements during the ebb tide. The frequency of the plume extending beyond the fringing coral islands during dredging operations is in agreement with the field observed coral mortality due to sediment accumulation.

[1]  C. J. Apelt,et al.  Recent dredging Projects in sensitive areas in Queensland , 2001 .

[2]  P. Whitehead.  ENVIRONMENTAL MANAGEMENT FRAMEWORK FOR PORTS AND RELATED INDUSTRIES , 2000 .

[3]  E. Wolanski.  The environment in Asia Pacific harbours , 2006 .

[4]  R. Isaacs,et al.  Multiple scattering LOWTRAN and FASCODE models. , 1987, Applied optics.

[5]  Lorraine Remer,et al.  The MODIS 2.1-μm channel-correlation with visible reflectance for use in remote sensing of aerosol , 1997, IEEE Trans. Geosci. Remote. Sens..

[6]  Tarmo Kõuts,et al.  Operational monitoring of suspended matter distribution using MODIS images and numerical modelling , 2006 .

[7]  D. Neil,et al.  Image calibration to like-values in mapping shallow water quality from multitemporal data , 2003 .

[8]  David Doxaran,et al.  A reflectance band ratio used to estimate suspended matter concentrations in sediment-dominated coastal waters , 2002 .

[9]  David L.B. Jupp,et al.  Background and Extensions to Depth of Penetration (DOP) Mapping in Shallow Coastal Waters , 1988 .

[10]  S. Tassan.  Evaluation of the potential of the Thematic Mapper for marine application , 1987 .

[11]  F. L. Hellwegera,et al.  Use of satellite imagery for water quality studies in New York Harbor , 2004 .

[12]  Yan-sui Liu,et al.  Quantification of shallow water quality parameters by means of remote sensing , 2003 .

[13]  Upmanu Lall,et al.  Use of satellite imagery for water quality studies in New York Harbor , 2004 .

[14]  B. Forster,et al.  Remote sensing of sea water quality parameters using Landsat-TM , 1993 .

[15]  D. C. Rundquist,et al.  The response of both surface reflectance and the underwater light field to various levels of suspended sediments: preliminary results , 1994 .

[16]  S. Tassan.  An improved in-water algorithm for the determination of chlorophyll and suspended sediment concentration from Thematic Mapper data in coastal waters , 1993 .

[17]  C. Binding,et al.  Estimating suspended sediment concentrations from ocean colour measurements in moderately turbid waters; the impact of variable particle scattering properties , 2005 .

[18]  David Bowers,et al.  An algorithm for the retrieval of suspended sediment concentrations in the Irish Sea from SeaWiFS ocean colour satellite imagery , 2003 .

[19]  D. Neil,et al.  A composite DOP approach to excluding bottom reflectance in mapping water parameters of shallow coastal zones from TM imagery , 2004 .