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Belcolour

Description

Belcolour II

Optical Remote Sensing for Marine and Inland Waters
Contact  Els KNAEPS Start (End) Date  01/12/2006
 (30/11/2011)
Consortium  4 partners Project Coordination  MUMM
Website           www.mumm.ac.be/
BELCOLOUR
(new window)		 Related Projects  ISECA, BELCOLOUR I,
 ORMES/RESORT,
 KABAR, MICAS,
 Phd adjacency
Keywords         

 water quality, inland waters, coastal waters, algorithms      

 

Project Objectives
The general objective of the BELCOLOUR-2 project is to improve the quality of existing optical remote sensing products for marine and inland waters based on new knowledge and to develop new products for key applications. VITO will mainly focus on the inland waters. While water quality retrieval algorithms can be quite generic over the coastal and inland waters there are distinct new problems for inland waters, particularly adjacency effects and higher proportion of waters where bottom effects are significant. There is also a scientific interest in seeing just how generic algorithms are for different algae and non-algae particles that may occur in inland waters.

Methodology
The project is organised into 7 work packages covering coordination, theory, measurements, image processing, quality control, dissemination and applications. With respect to the measurements VITO designed airborne experiments to provide data for testing algorithms with the extra inland water problems. Simultaneously with the airborne experiments extensive field campaigns are organised to provide input and validation data. 

Results
The following results are expected from VITO’s part in the project:

  • an adjacency detection and correction for hyperspectral airborne data over inland and coastal waters (peer reviewed publication)
  • improvement, application and validation of the adjacency detection/correction algorithm 'SIMEC' to MERIS satellite data (presented at MERIS Validation Team Meeting and Ocean Optics Conference)
  • a peer reviewed paper on the evidence of non-zero reflectance in the SWIR and relevance for the Sentinel-3 mission.
  • Development of water quality and bottom substrate retrieval algorithms for shallow case-2 waters. Application to hyperspectral airborne data from the Spuikom, Oostende (peer reviewed paper in preparation)

Work in progress

  • Integration of SIMEC into BEAM (open-source toolbox for MERIS processing) (ongoing process)

Partners

  • MUMM (Belgium)
  • ULg (Belgium)
  • ULB (Belgium)
  • CNRS (France)

Illustration



Adjacency detection algorithm applied on airborne data (top left) and applied to Meris (top right).
Evidence of non-zero reflectance in SWR (bottom left).
Total suspeded sediment (TSM) map Spuikom, Oostende (bottom right).




Contact:


Els Knaeps
Tel. + 32 14 33 68 64
Fax + 32 14 32 27 95
Send a message to Els Knaeps


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