Systematic Analysis of Inland Water Quality Using Datacube Concepts

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Anstee, Janet; Malthus, Tim; Botha, Hannelie; Lehmann, Eric; Ho, Xavier; Joehnk, Klaus; Cherukuru, Nagur; Dekker, Arnold

Anstee, Janet; Malthus, Tim; Botha, Hannelie; Lehmann, Eric; Ho, Xavier; Joehnk, Klaus; Cherukuru, Nagur; Dekker, Arnold


2016-11-07


Conference Material


World Lakes Conference, Bali, Indonesia, 7-11 November 2016


71


Water quality and ecosystem health of inland systems are essential for the sustainable development of these important ecosystems. The UN-Water agency recognized that there are many challenges in undertaking improvements in water quality or ecosystem health and monitoring their changes over time. Quantitative use of satellite remote sensing data for the synoptic assessment of these vulnerable resources has been shown to be cost effective and beneficial for agencies responsible for water quality management. Multi-temporal Landsat data acquired from the Australian Geoscience Data Cube (AGDC), when combined with optical modeling approaches, enables for the generation of consistent time-series analysis of inland water quality data and products. From this data, water quality variables such as total suspended matter, algal concentrations and the light environment of the water column (vertical attenuation of light) can be retrieved. When integrated with ESA’s Copernicus Sentinel data, the AGDC will provide analysis-ready data for Australia and the South East Asian region. In particular, Sentinel 2A and 3A data have been shown to greatly increase the accuracy of chlorophyll retrievals in comparison to Landsat data, and have great potential for large-scale monitoring of eutrophication and associated health risks in inland waters. The Australian Government has signed an agreement with the European Union in regards to the Copernicus mission, and its technical agencies are keen to promote an approach supporting the objectives of Copernicus, ensuring that Australia and the region can benefit from this data. This presentation will demonstrate a framework and product delivery system for quantitative estimation of inland water quality parameters across a range of different optical water types.


ILEC - International Lake Environment Committee Foundation


Copernicus data hub, optical modelling, multi-temporal, remote sensing, water quality


Environmental Monitoring


Link to Publisher's Version


EP167285


Oral Presentation – Formal


English


Anstee, Janet; Malthus, Tim; Botha, Hannelie; Lehmann, Eric; Ho, Xavier; Joehnk, Klaus; Cherukuru, Nagur; Dekker, Arnold. Systematic Analysis of Inland Water Quality Using Datacube Concepts. In: World Lakes Conference; 7-11 November 2016; Bali, Indonesia. ILEC - International Lake Environment Committee Foundation; 2016. 71.



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