IMIS

Publicaties | Instituten | Personen | Datasets | Projecten | Kaarten
[ meld een fout in dit record ]mandje (0): toevoegen | toon Print deze pagina

A seasonally robust empirical algorithm to retrieve suspended sediment concentrations in the Scheldt river
Knaeps, E.; Sterckx, S.; Raymaekers, D. (2010). A seasonally robust empirical algorithm to retrieve suspended sediment concentrations in the Scheldt river. Remote Sens. 2(9): 2040-2059. http://dx.doi.org/10.3390/rs2092040
In: Remote Sensing. MDPI: Basel. ISSN 2072-4292; e-ISSN 2072-4292, meer
Peer reviewed article  

Beschikbaar in  Auteurs 

Trefwoorden
    Marien/Kust; Brak water; Zoet water
Author keywords
    remote sensing; suspended particulate matter; empirical; estuaries

Auteurs  Top 

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.

Alle informatie in het Integrated Marine Information System (IMIS) valt onder het VLIZ Privacy beleid Top | Auteurs