1 / 3

Objectives To develop and calibrate an algorithm to give SPM maps for the Belgian coastal waters.

SeaWiFS MERIS MODIS. SPM (mg/l). Reflectance. Suspended Particulate Matter (SPM) mapping from MERIS imagery Calibration of a regional algorithm for the Belgian Coastal waters B. Nechad, V. Decauwer, Y. Park and K.G. Ruddick* b.nechad@mumm.ac.be. http://www.mumm.ac.be. Objectives

rashad
Télécharger la présentation

Objectives To develop and calibrate an algorithm to give SPM maps for the Belgian coastal waters.

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. SeaWiFS MERIS MODIS SPM (mg/l) Reflectance Suspended Particulate Matter (SPM) mapping from MERIS imagery Calibration of a regional algorithm for the Belgian Coastal waters B. Nechad, V. Decauwer, Y. Park and K.G. Ruddick* b.nechad@mumm.ac.be http://www.mumm.ac.be Objectives To develop and calibrate an algorithm to give SPM maps for the Belgian coastal waters. Data & Methods ◘ During 17 campaigns carried out in the Belgian waters between 2001 and 2003, 68 datasets were acquired for SPM at 3m depth (GF/C filter) and surface reflectance using Trios radiometer with a spectral resolution of 0.25nm. ◘ MERIS reflectance defined by: is related to the IOPs by (Gordon et al 1976): where is linked to the SPM ( ) by:  ◘ Non linear regression analysis are applied to the set of 68 datasets using the regression equation: The model parameters and are accounting for the coefficient and the errors in the model and the measurements the logarithmic transform of the dependent variable, to stabilise its variance (as is Gaussian) Upwelling radiance and Downwelling irradiance reflectance just above the water surface Non Linear Regression Results Model graphs, scatterplot of measurements the specific backscatter

  2. AQUA TERRA SeaWiFS MERIS Trios M/AQUA M/TERRA Model performance SeaWiFS MERIS MODIS SPM in mg/l derived from MERIS image taken on June, 16th 2003 at 12:25 UTC SPM in mg/l derived from 2 SeaWiFS images taken on June, 16th 2003 at 11:47:30 UTC and 13:25:05 UTC SPM in mg/l derived from 2 MODIS images taken on June, 16th 2003 at 12:25 UTC and 10:45UTC Wavelengths (nm) Reflectance spectra measured by the 4 sensors at station MC16A, on the 16th June 2003

  3. SPM (mg/l) at 0.5m, pre-ashed, GF/F SPM (mg/l) at 3m, GF/C filter • Preliminary validation Scatterplot of 6 matchup MERIS SPM data vs in situ SPM data, the correlation of these with MERIS product is negative (C=-46,47%), while it is C=79,46% for the MUMM product. • Conclusions ◘ The Red and Near IR bands avoid the signature of CDOM and yellow substance absorption. The main IOPs arise from water absorption and SPM scattering. ◘ SPM is almost linearly related to reflectance. • Perspectives ◘ More SPM data to be collected and used in the validation. ◘ An application of this study is the production of depth-average SPM to provide the SPM Transport Model with boundary conditions. The Belgian Office for Scientific, Technical  and Cultural affairs (OSTC), the receiving station of Dundee University, Orbimage, the SeaWiFS and SeaDAS project teams, the Distributed Active Archive Center at GSFC, ESA and its subcontractors and the MODIS team are acknowledged for providing, distributing and supporting satellite images.

More Related