United Kingdom Earth Observation Data Hub User Pilots Call for Applications!

The National Centre for Earth Observation (NCEO) is pleased to announce the commencement of activities for the EO Data Hub project.

FAQs on the user pilot call will be uploaded once questions are received.

This announcement has the primary aim of engaging the user community in the development of the EO Data Hub. It seeks input from potential users, communities and stakeholders to demonstrate EO services and data supply concepts which would be enabled by the EO Data Hub.

The selected projects in this call will help to specify the functionality, software and desirable data streams in the Hub and obtain early access to the Hub as it is implemented.

Find out more at this link

Take and Share the WaterForCE Water Quality and Satellite Data Survey today!

On behalf of the Water-ForCE project a survey is being conducted of those in the water quality sector about their use and knowledge of earth observation data.

The survey takes less than 1 minute to complete, with the option of additional questions for relevant participants. There are no criteria to complete the survey and every response matters! The results of this survey will be used to understand the needs of current and future water data users and make recommendations for the improvement of data within the water domain.
 Water-ForCE is an EU-funded research project conducted by a consortium of experts including Prof. Evangelos Spyrakos at the University of Stirling.

Please take the survey yourself and pass it along to others in your network of any education and skill level.

Here is the survey link: 

Satellite Job Opportunity at Royal Belgian Institute of Natural Sciences

Satellite Data Analyst/Scientist (m/w/x)

The successful candidate will work in the REMSEM (Remote Sensing and Ecosystem Monitoring) team in the Operational Directorate Natural Environment (OD Nature) of RBINS on projects in the field of operational ocean colour satellite data services including the development of processing chains, cloud processing, data cube systems, product quality control and ocean colour algorithm development. The REMSEM team uses satellite data to measure parameters of environmental relevance such as the concentrations of chlorophyll a (phytoplankton) and suspended sediments in marine environments. A description of our remote sensing activities can be found at http://odnature.naturalsciences.be/remsem/.

Tasks

The main tasks include:

SW1 level (Master level):

  • Development of ocean colour satellite applications that enable data access, data visualisation and data processing.
  • Development of new ocean colour algorithms and implementation of data cube systems (https://xcube.readthedocs.io/en/latest/) for efficient data analysis.
  • Investigate potential of Machine Learning techniques in ocean colour applications.
  • Work in a small productive team in cooperation with partners from other European countries.
  • Writing technical documentation and/or scientific publications
  • Presentation of results in English

SW2 level (PhD level):

  • SW1 level tasks
  • Work Package Management in ongoing European projects.

DIPLOMA

SW1: Master of Science, Master of Bioscience Engineering or equivalent.

SW2: PhD in Science, PhD in Bioscience Engineering or equivalent.

There is an open position for a Satellite Data Analyst/Scientist at RBINS. Find out more here:

Check out our newly published article!

Perspectives on user engagement of satellite Earth observation for water quality management

was just published in Technological Forecasting and Social Change!

Congratulations to the co-authors who are all members of GEO AquaWatch!

Citation: Lara Agnoli, Erin Urquhart, Nikolaos Georgantzis, Blake Schaeffer, Richard Simmons, Bilqis Hoque, Merrie Beth Neely, Claire Neil, Jacques Oliver, Andrew Tyler. Perspectives on user engagement of satellite Earth observation for water quality management. Technological Forecasting and Social Change, Volume 189, 2023, https://doi.org/10.1016/j.techfore.2023.122357

Highlights

Perceptions of the Earth observation opportunity across the global water sector
The routes through which trust in Earth observation data can be developed
Points of successful implementation of Earth observation within the policy