Take GEOAquaWatch’s Water Quality Survey!

We would appreciate your anonymous feedback in our online survey about water quality monitoring around the world and use of remote sensing to assess water quality.  Your input will be used to inform our global water quality training and education efforts.  Anyone involved in water quality should take this survey – from managers and field/lab workers to researchers and citizen scientists. 

This quick survey is available in five languages: English, Chinese, French, German, and Spanish – responders may remain anonymous.  This survey will remain open only a short time and can be completed within 5-8 minutes. All responses will remain confidential and secure.  Multiple survey-takers may use the same IP address for their individual entries.   Thank you in advance for your valuable insights and we appreciate your trust.

TAKE SURVEY

CCI Project on Lakes Survey Available

In February 2019, ESA kicked off the CCI project on Lakes, as an
essential climate variable.  The main objective of ‘lakes cci’ (http://cci.esa.int/lakes) is to
exploit satellite data to create the largest and longest possible
consistent, global record of five lake parameters (Level, Extent,
Temperature, Ice cover, Reflectance) for evaluating how lakes play the
role of proxy, regulator and integrator of climate change.

In this initial phase, we have prepared a survey to determine some
basic requirements for data exploitation.
The anonymous ‘lakes cci’ questionnaire (just 12 simple questions in
less than 5 min) is available at the following link.
Inputs from the AquaWatch community (preferably by 15 June) will be
very much appreciated:

https://forms.gle/LvTADHLDBKEKF6KaA

For more information please write to: cci-lakes.contact@cls.fr

GEOAquaWatch Announces Fiscal Sponsorship by Meridian Institute

GEOAquaWatch is very pleased to announce that Meridian Institute has entered into a fiscal sponsorship relationship with GEOAquaWatch.  This will open up significantly more funding opportunities for GEOAquaWatch and promote collaborative partnerships between Meridian and the GEOAquaWatch Initiative for Water Quality, optimizing the excellence and expertise of both organizations.

EPA-NASA ORISE Job Opportunity

 

Commercial Satellite Water Quality Methods and Visualization

This is an exciting ORISE research opportunity using commercial satellite imagery for deriving water quality measures as part of a NASA funded project. This position is for someone with a Master’s degree. Application deadline is 5/28/2019 3:00:00 PM Eastern Time Zone.

Organization
U.S. Environmental Protection Agency (EPA)
Reference Code
EPA-ORD-NERL-EMMD-2019-02
How to Apply

A complete application consists of:

All documents must be in English or include an official English translation.

If you have questions, send an email to EPArpp@orau.org.  Please include the reference code for this opportunity in your email.

 

NASA PostDoc Opportunity with GEOAquaWatch! Apply by July 1, 2019

In situ and satellite-derived observations of global water quality: Validation and Assessment

Opportunity ID 19249
Opportunity URL https://npp.usra.edu/opportunities/details/?ro=19249
Location Goddard Space Flight Center
Greenbelt, MD 20771
Field of Science Earth Science
Advisor Stephanie Uz, Primary Advisor
301-286-0549
stephanie.uz@nasa.gov
Citizenship Requirement
  • U.S. Citizens Accepted
  • Lawful Permanent Residents Accepted
  • Foreign Nationals Accepted – Note: At this time, GSFC does not accept NPP applications from citizens of designated countries unless they are Legal Permanent Residents of the U.S. The Designated Countries List is available at http://oiir.hq.nasa.gov/nasaecp/
Description The Applied Sciences Manager at NASA Goddard Space Flight Center seeks a post-doc candidate in the area of water quality. The new candidate will work closely with AquaWatch, the water quality initiative by the Group on Earth Observation (GEO) as well as Goddard labs that process and validate aquatic satellite data and develop a near-real time information system to monitor water quality using current multi-spectral satellite data and future hyperspectral data from PACE and any field campaigns associated with a potential mission on Surface Biology and Geology, currently an architecture study. Prospective candidates will work closely with AquaWatch to grow Earth Observation-derived water quality products to support effective monitoring, management and decision-making. This effort will contribute to building and maintaining an operational, collaborative global water quality validation system using available in situ data from the international aquatic science community. Validation activities will include quality checks of inland and coastal water quality products derived from satellites, metrics of algorithm performance, and refining data products. Validation will also ensure the satellite-derived products meet scientific requirements for research and global applications, including the United Nation’s Sustainable Development Goals (SDGs).  In addition, data from robust, long-term in situ aquatic databases such as SeaBASS https://seabass.gsfc.nasa.gov and LIMNADES https://www.limnades.org/ will be incorporated along with new sources of data from developing countries and under-sampled regions. Another source of global in situ data is AERONET-OC, which contains globally distributed autonomous radiometer systems maintained at fixed coastal nearshore and inland sites. This validation effort will include building international partnerships (similar to the previous NASA SIMBIOS program) and exploiting networks such as AERONET-OC for product validation and water quality monitoring. Prospective candidates may also support capacity building in conjunction with NASA’s Applied Remote Sensing Training (ARSET) program, among others. Candidates should have experience in one or more of the following: aquatic remote sensing, bio-optical sampling, limnology, oceanography, environmental science, and/or data assimilation. Experience with NASA Earth science satellite missions or research activities is desirable.