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Description
Title A Seasonally Robust Empirical Algorithm to Retrieve Suspended Sediment Concentrations in the Scheldt River
Type Publication
Abstract:

A seasonally robust algorithm for the retrieval of Suspended Particulate Matter (SPM) in the Scheldt River from hyperspectral images is presented. This algorithm can be applied without the need to simultaneously acquire samples (from vessels and pontoons). Especially in dynamic environments such as estuaries, this leads to a large reduction of costs, both in equipment and personnel. The algorithm was established empirically using in situ data of the water-leaving reflectance obtained over the tidal cycle during different seasons and different years. Different bands and band combinations were tested. Strong correlations were obtained for exponential relationships between band ratios and SPM concentration. The best performing relationships are validated using airborne hyperspectral data acquired in June 2005 and October 2007 at different moments in the tidal cycle. A band ratio algorithm (710 nm/596 nm) was successfully applied to a hyperspectral AHS image of the Scheldt River to obtain an SPM concentration map.

Available from http://www.mdpi.com/2072-4292/2/9/2040
Author
KNAEPS Els
RAYMAEKERS Dries
STERCKX Sindy
Reference
Journal Remote Sensing
Volume 2
Pages 2040-2059
Year 2010
Times cited 1
Institute country Belgium
Type of science
  • Hydrology (includes water quality, fresh water and inland water)
Field of science
  • Biosphere
  • Continental surface
File details
Added March 11, 2011, 00:00
Last update May 17, 2016, 10:22
Size 986.7 KB
File name Knaeps-et-al-2010_20110311143836.pdf
Visibility Public
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