Journal of Geographical Sciences ›› 2008, Vol. 18 ›› Issue (4): 443-454.doi: 10.1007/s11442-008-0443-4

• Climate and Environmental Change • Previous Articles     Next Articles

Feasibility study on the binary-parameter retrieval model of ocean suspended sediment concentration based on MODIS data

LI Guosheng1,3, WANG Fang1,2, LIAO Heping3   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China|
    2. University of Calgary, Calgary T2N 1N4, Alberta, Canada|
    3. School of Geographic Science, Southwest University, Chongqing 400715, China
  • Received:2007-11-16 Revised:2008-02-29 Online:2008-12-25 Published:2008-12-25
  • Supported by:

    National Natural Science Foundation of China, No.40771030; No.40571020

Abstract:

This paper brought out a new idea on the retrieval of suspended sediment concentration, which uses both the water-leaving radiance from remote sensing data and the grain size of the suspended sediment. A principal component model and a neural network model based on those two parameters were constructed. The analyzing results indicate that testing errors of the models using the two parameters are 0.256 and 0.244, while the errors using only water-leaving radiance are 0.384 and 0.390. The stability of the models with grain size parameter is also better than the one without grain size. This research proved that it is necessary to introduce the grain size parameter into suspended sediment concentration retrieval models in order to improve the retrieval precision of these models.

Key words: Bohai Sea, suspended sediment concentration, remote sensing, binary-parameter model