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

Auteur(s) et Affiliation(s)

LI, G.

Inst. of Geographic Sciences and Natural Resources Research, Beijing, Chine

School of Geographic Science, Southwest Univ., Chongqing, Chine

WANG, F.

Inst. of Geographic Sciences and Natural Resources Research, Beijing, Chine

University of Calgary, Alberta, Calgary, Canada

LIAO, H.

School of Geographic Science, Southwest Univ., Chongqing, Chine

Description :
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 2 parameters were constructed. The results prove 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.

Type de document :
Article de périodique

Source :
Journal of geographical sciences. Acta geographica sinica, issn : 1009-637X, 2008, vol. 18, n°. 4, p. 443-454, nombre de pages : 12, Références bibliographiques : 1 p.

Date :
2008

Editeur :
Pays édition : Chine

Langue :
Anglais