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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.

Call for manuscripts: Remote Sensing Journal Special Issue “Water Quality”

A special issue on Remote Sensing of Water Quality will be published in the journal Remote Sensing. The editors are looking for articles that address the current status, challenges, and future research priorities for remote sensing of water quality.

The webpage for this special issue is, http://www.mdpi.com/journal/remotesensing/special_issues/waterquality_rs. Manuscripts submitted to this special issue will go through the normal peer-review process. The manuscript submission deadline is 31 Dec 2017.

Please check the Instruction for Authors (http://www.mdpi.com/journal/remotesensing/instructions) for additional information on manuscript submission.

 

 

Call for turbidity, reflectance and Secchi disk depth Data

AquaWatch is developing an initial product suite for Work Package 3 – visible demonstration products of water quality parameters. The purpose of this product is to demonstrate to users today’s capability of the global community to produce water related information at global scale. This Aquawatch Demonstration product shall be based on products readily available from community members.

This product suite will include an NTU turbidity product, a Secchi disk depth product, a diffuse attenuation coefficient product, and a surface reflectance product. Absorption and scattering information will also be included where appropriate for added value and product comparability. The product will be done at three resolutions – 1 km, 300 m and 100 m. The product will be coherent globally at the 1 km level, continent or country level at 300m and regional “zoom-in” at the ≤100 m level.

Download the data call description for more information

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