Journal cover Journal topic
Earth System Science Data The Data Publishing Journal
https://doi.org/10.5194/essd-2018-2
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Review article
22 Jan 2018
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Earth System Science Data (ESSD).
Diversity II water quality parameters for 300 lakes worldwide from ENVISAT (2002–2012)
Daniel Odermatt1,2, Olaf Danne2, Petra Philipson3, and Carsten Brockmann2 1Odermatt & Brockmann GmbH, Zurich, 8005, Switzerland
2Brockmann Consult GmbH, Geesthacht, 20502, Germany
3Brockmann Geomatics Sweden AB, Kista, 164 40, Sweden
Abstract. The use of ground sampled water quality information for global studies is limited due to practical and financial constraints. Remote sensing is a valuable means to overcome such limitations and to provide synoptic views of ambient water quality at appropriate spatio-temporal scales. In past years several large data processing efforts were initiated to provide corresponding data sources. The Diversity II water quality dataset consists of several monthly, yearly and 9-year averaged water quality parameters for 340 lakes worldwide and is based on data from the full ENVISAT MERIS operation period (2002–2012). Existing retrieval methods and datasets were selected after an extensive algorithm intercomparison exercise using in situ reference measurements for more than 40 lakes representing a wide range of bio-optical conditions. Chlorophyll-a, total suspended matter, turbidity, coloured dissolved organic matter, lake surface water temperature, cyanobacteria and floating vegetation maps, as well as several auxiliary data layers, provide a generically specified data basis that can be used for assessing a variety of locally relevant ecosystem properties and environmental problems. We demonstrate the use of the products by illustrating and discussing remotely sensed evidence of lake-specific processes and prominent regime shifts documented in literature. The Diversity II data are available from https://doi.pangaea.de/10.1594/PANGAEA.871462, and Python scripts for their analysis and visualization are provided at https://github.com/odermatt/diversity/.
Citation: Odermatt, D., Danne, O., Philipson, P., and Brockmann, C.: Diversity II water quality parameters for 300 lakes worldwide from ENVISAT (2002–2012), Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2018-2, in review, 2018.
Daniel Odermatt et al.
Daniel Odermatt et al.

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Diversity II water quality parameters for 300 lakes worldwide from ENVISAT (2002-2012) D. Odermatt, O. Danne, P. Philippson, and C. Brockmann https://doi.pangaea.de/10.1594/PANGAEA.871462
Daniel Odermatt et al.

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Short summary
The Diversity II inland water database consists of remotely sensed water quality information for more than 300 lakes in the whole World. It was derived from optical and thermal imagery acquired by the ESA ENVISAT satellite between 2002–2012. The database consists of spatially resolved monthly, yearly and 9-year averages for 10 geophysical parameters. Its practical usage is demonstrated by means of several case studies on lake-specific processes and regime shifts.
The Diversity II inland water database consists of remotely sensed water quality information for...
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