News

AquaWatch booklet on water quality monitoring now available

This booklet presents information about water quality issues and monitoring in a variety of habitats and exemplars of water quality monitoring using archived and next generation Earth Observation data using technologies developed and exploited by researchers within
the AquaWatch community.

The information and examples in this booklet are set out to inform parties involved in water resource management, policy and sustainable development about water quality issues and the available technologies and methods available for monitoring water quality around the globe.

Tenure track position in remote sensing of aquatic systems available at Eawag

Eawag, the Swiss Federal Institute of Aquatic Science and Technology, is an internationally networked aquatic research institute within the ETH Domain (Swiss Federal Institutes of Technology). Eawag conducts research, education and expert consulting to achieve the dual goals of meeting direct human needs for water and maintaining the function and integrity of aquatic ecosystems.

 

Based on a joint agreement between Eawag and University of Zürich, the Department Surface Waters – Research and Management (SURF) has an open position for a

 

Tenure Track Group Leader in Remote Sensing of Aquatic Systems.

 

To view the full position description, click here.

Advancing Water Quality Monitoring and Forecasting in Coastal and Inland Waters

Abstracts  are now being accepted for  a session titled “Advancing Water Quality Monitoring and Forecasting in Coastal and Inland Waters” for the  2018 Ocean Sciences Meeting to be held 11-16 February 2018 in Portland, Oregon, USA. Click here to submit an abstract.

Session Description

Water is an increasingly threatened resource, particularly the quality of coastal and inland waters due to population growth, urbanization, and climate change. Further, the interfacial nature of the coastal zone, bridging aquatic, terrestrial, atmospheric, and anthropogenic domains, means they are significantly impacted by dynamic and complex processes. Timely, accurate, and consistent scientific-based assessments, monitoring and forecasting of water quality are crucial across global, regional, and local scales. This session solicits contributions addressing the end-to-end value chain for coastal and inland water quality. This includes new and improved physical, biogeochemical, and ecological observations and data products (remote and in situ), data assimilation and forecasts, and synergistic generation of fit for purpose water quality products and indicators to provide integrated information for water quality managers and other stakeholders. In particular, developmental and operational activities that couple products and indicators (from observations, models etc.) across the land-water interface are solicited, as are information delivery systems and decision making tools to enhance user knowledge. This session advances the goals and objectives of the international AquaWatch Initiative, being developed under the auspices of the Group for Earth Observations, particularly development of water quality monitoring and forecasting service(s) in developed and developing nations.

Primary Chair:  Paul M DiGiacomo, NOAA College Park, College Park, MD, United States

Co-chairs: Steven R Greb, WDNR Science Operations Center, Madison, WI, United States, Benjamin Holt, NASA Jet Propulsion Laboratory, Pasadena, CA, United States and Emily Smail, University of Maryland, Earth System Science Interdisciplinary Center, College Park, MD, United States

Training material available on the use of EO data for lake water quality monitoring

The GLaSS training material (10 lesson) builds on the global lakes use cases of GLaSS. It allows students (((Bsc), Msc, PhD) and professionals in fields as aquatic ecology, environmental technology, remote sensing and GIS to learn about the possibilities of optical remote sensing of water quality, by using the Sentinel-2 and Sentinel-3 satellites and Landsat 8.

Access the training materials here.

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