Estimation of suspended particulate matter in Gulf using MODIS data

Authors

  • S. Uddin Environmental Sciences Department, Kuwait Institute for Scientific Research, Safat – 13109, Kuwait
  • A. N. Al-Ghadban Environmental Sciences Department, Kuwait Institute for Scientific Research, Safat – 13109, Kuwait
  • B. Gevao Environmental Sciences Department, Kuwait Institute for Scientific Research, Safat – 13109, Kuwait
  • D. Al-Shamroukh Environmental Sciences Department, Kuwait Institute for Scientific Research, Safat – 13109, Kuwait
  • A. Al-Khabbaz Environmental Sciences Department, Kuwait Institute for Scientific Research, Safat – 13109, Kuwait

Keywords:

satellite image, sediment transport, turbid water

Abstract

Mapping of suspended particulate matter can be achieved through satellite-based optical sensors and has growing applications for understanding sediment transport. A suspended particulate matter algorithm developed by Nechad (2010) for turbid conditions in the North Sea was applied in Gulf water using MODIS band 13 data centered at 667 nm. Satellite estimates of suspended particulate matter are extremely well correlated with the in-situ measurements (p = 0.97 and 1.00 for north (turbid) and south (clear) transects. Therefore, this technique can be effective for such estimation in Gulf waters as a surrogate for in-situ measurements.

References

Al-Yamani, F. Y., Bishop, J., Al-Rifaie, K., Ismail, W., Al-Yaqout, A., Al-Omran, L., Kwarteng, A., Al-Ghadban, A. N. and Sheppard, C. 1997. Assessment of the effect of the Shatt al-Arab's altered discharge regimes on the ecology of the Northern Arabian Gulf, Kuwait Institute for Scientific Research. Report No KISR 5174

Al-Dousari, A. and Uddin, S. 2007. Creating Digital Elevation Models and Orthoimages from ASTER Imagery Over Kuwait, Kuwait: Kuwait Institute for Scientific Research, KISR 9024.

Al-Ghadban, A. N., Abdali, F. and Massoud, M. S. 1998. Sedimentation Rate and Bioturbation in The Arabian Gulf. Environment International, 24(1/2): 23–31.

Beg, M. U. and Al-Ghadban, A. N. 2003. Impact of Draining Iraqi Marshes on Sediment Quality of Kuwait's Northern Marine Environment. Bulliten Environmental Contamination and Toxicology, 71(1): 60–67.

Dekker, A. G., Vos, R. J. and Peters, S. W. M. 2001. Comparison of remote sensing data, model results and in situ data for total suspended matter TSM in the southern Frisian lakes. The Science of the Total Environment, 268: 197–214.

Desa, E., Suresh, T. and Matondkar, S. G. P. 2001. Sea truth validation of SeaWiFS ocean color sensor in the coastal waters of the eastern Arabian Sea. Current Science, 80(7): 854–860.

Feldman, G. C. 2011. Ocean Color Webmaster. SeaDAS, Greenbelt, Maryland: The SeaDAS Development Group at NASA GSFC.

Fettweis, M. P. and Nechad, B. 2010. Evaluation of in situ and remote sensing sampling methods for SPM concentrations, Belgian continental shelf (southern North Sea). Ocean Dynamics, DOI 10.1007/s10236-010-0310-6

Fettweis, M., Nechad, B. and Eynde, D. V.-d. 2007. An estimate of the suspended particulate matter (SPM) transport in the southern North Sea using SeaWiFS images, in situ measurements and numerical model results. Continental Shelf Research, 27: 1568–1583.

Froidefond, J. M., Lahet, F., Hu, C., Doxaran, D., Guiral, D., Prost, M. T. and Ternon, J. F. 2004. Mudflats and mud suspension observed from satellite data in French Guiana. Marine Geology, 208: 153–168.

Goetz, S. J. 2002. Recent advances in remote sensing for biophysical variables - an overview of the special issue. Remote Sensing of Environments, 79: 145–146.

Hu, R. M., Sokhi, R. S. and Fisher, B. E. A. 2009. New algorithms and their application for satellite remote sensing of surface PM2.5 and aerosol absorption. Aerosol Science, 40: 394–402.

Kirk, J. T.O. 1994. Light and photosynthesis in aquatic ecosystems., New York, NY: Cambridge University Press.

Miller, R. L. and Cruise, J. F. 1995. Effects of suspended sediments on coral growth: Evidence from remote sensing and hydrologic modeling. Remote Sensing Environment, 53: 177–187.

Miller, R. L. and McKee, B. A. 2005. Using MODIS Terra 250 m imagery to map concentrations of total suspended matter in coastal waters. Remote Sensing of Environment, 93(1–2): 259–266.

MOOPAM. 1999. The Manual of Oceanographic Observations and Pollutant Analysis Methods , 3rd Ed., Kuwait: Regional Organization for the Protection of the Marine Environment.

Nechad, B., Ruddick, K. G. and Park, Y. 2010. Calibration and validation of a generic multisensor algorithm for mapping of total suspended matter in turbid waters. Remote Sensing of Environment, 114(4): 854–866.

Ruddick, K. G., Ovidio, F. and Rijkeboer, M. 2000. Atmospheric correction of SeaWiFS imagery for turbid coastal and inland waters. Applied Optics, 39(6): 897–912.

Ruddick, K., De Cauwer, V., Park, Y. and Moore, G. 2006. Seaborne measurements of near infrared water-leaving reflectance - the similarity spectrum for turbid waters. Limnology and Oceanography, 51(2): 1167–1179.

Stumpf, R. P. 1987. Application of AVHRR satellite data to the study of sediment and chlorophyll in turbid coastal waters, Washington, DC: NOAA.

Stumpf, R. P. and Pennock, J. R. 1989. Calibration of a general optical equation for remote sensing of suspended sediments in a moderately turbid estuary. Journal of Geophysical Research, 94(C10): 14363–14371.

Tassan, S. 1994. Local algorithms using SeaWiFS data for the retrieval of phytoplankton, pigments, suspended sediment, and yellow substance in coastal waters. Applied Optics, 33(12): 2369–2378.

Warrick, J. A., Mertes, L. A. K., Siegel, D. A. and Mackenzie, C. 2004. Estimating suspended sediment concentrations in turbid coastal waters of the Santa Barbara Channel with SeaWiFS. International Jourbal Remote Sensing, 25(10): 1995–2002.

Zoran, M. and Anderson, E. 2006. The use of multi-temporal and multi-spectral satellite data for change detection analysis of the Romanian Black Sea Coastal Zone. Journal of optoelectronics and Advanced Materials, 8(1): 252–256.

Published

2012-01-01