Paper
15 October 2004 Monitoring of trophic parameter Chl-a using hyperspectral CHRIS-PROBA data
Sandra Mannheim, Karl Segel, Birgit Heim, Hermann Kaufmann
Author Affiliations +
Abstract
The CHRIS sensor, mounted on the PROBA satellite, is one of the first space-borne hyperspectral sensors offering high spatial resolution (18 m x 18 m). This, combined with the possibilty of multi-temporal coverage, makes CHRIS-PROBA exceptionally well suited for lake water monitoring. The concept of the project MEMAMON is to monitor the water quality of lakes in the Mecklenburg (Germany) and Mazurian (Poland) lake districts. Both test sites contain a large number of lakes with high variability and different trophic states. This paper presents a study, which aims to determine the trophic parameter chlorophyll-a using hyperspectral CHRIS-PROBA data. To investigate the seasonal dynamics of lakes, CHRIS-PROBA data were acquired in spring, summer and autumn 2002, 2003 and 2004. A first analysis of the data showed that CHRIS radiance data have strong artefacts in along track direction. Standard destriping techniques were not sufficient to correct the data. Therefore, a novel iterative destriping technique was developed and successfully applied to CHRIS-PROBA data. During the CHRIS-PROBA data recording, spectral field measurements and acquisition of in-situ data took place at several test sites. Using these data, chlorophyll algorithms were developed and optimised to the spectral characteristics of the CHRIS sensor. On the basis of simulated CHRIS-PROBA spectra in mode 2 and mode 3, the effect on the cholorphyll estimation will be discussed.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sandra Mannheim, Karl Segel, Birgit Heim, and Hermann Kaufmann "Monitoring of trophic parameter Chl-a using hyperspectral CHRIS-PROBA data", Proc. SPIE 5546, Imaging Spectrometry X, (15 October 2004); https://doi.org/10.1117/12.556347
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Cited by 1 scholarly publication.
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KEYWORDS
Sensors

Algorithm development

Data acquisition

Digital recording

Imaging spectrometry

Satellites

Spatial resolution

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