Coastal Waters Research Synergy Framework

Welcome to the EU H2020 Co-ReSyF user community requirements survey.
If you are interested in using Earth Observation (EO) data for coastal water research applications no matter how much previous experience you have, we would like to hear from you!
So please take a few minutes to complete the survey – your feedback will be much appreciated.
Best wishes, the Co-ReSyF team
This survey should take about 10 minutes to complete
For any related enquiries, please email us at
Thank you for starting this survey. The questions are structured around seven themes.THEME #1: About you

Which is your country of residence/work? *

Please choose your age group *

What type of organisation are you based at? *

What is your gender? *

THEME #2: Thematic practices and research fields of interest

What applications do you currently use EO data for? *

Which coastal water applications would you be interested in using EO data for in your future research? *

Which is the spatial scale of your application(s)? *

Which geographic region do you apply your research in? *

THEME #3: Application and algorithm development needs

Do you develop your own algorithms? *

If yes, please answer the following, otherwise scroll down to Q5:

What is the toolbox/software you usually use to develop algorithms?

How easy it to develop your algorithms in the toolbox/software you use?

One star = Difficult
Two stars = So-so
Three stars = Easy

Would you share your algorithms (if you also gained access to other people's algorithms too?)

Describe any facility, tool or service that would be useful in algorithm development that you would like to see implemented

If you don't develop your own algorithms,

Where do you source the algorithms (or models) you use?

How easy is to deploy existing algorithms in the toolbox/software you use?

One star = Difficult
Two stars = So-so
Three stars = Easy

Do you feel the need to speed up your processing time? *

Do you need to access and use cloud computing facilities for your research? *

Do you use processing parallelisation methods/libraries? If so, which? *

What type of pre- and post-processing functions do you usually use?

What programming language do you use for your research? *

THEME #4: Use of EO data and services, and associated challenges

What type of imagery/data/products do you use in your research? *

Please select the most important parameters on which you would base your choice of EO imagery *

What are the time intervals you ideally need input data in for your research? *

Do you usually require to access and process large volumes of EO data/Big Data? *

If you answered 'Yes' to the last question, is that a limiting factor in developing your research and why? If no, please move to question f

How easy do you generally find it to source EO data for your research?

One star = Diffucult
Two stars = So-so
Three stars = Easy

Are there any EO data or products you need, but cannot access/source online?

How easy do you generally find using EO data/products for your research?

One star = Defficult
Two stars = So-so
Three stars = Easy

Which is your preferred image processing software/toolbox? Please all that apply *

Please indicate any difficulty you've had with accessing and/or processing EO data/products *

THEME 5: Use of validation/auxiliary data

What type of validation/auxiliary data do you use? *

If applicable, where do you source validation/auxiliary data?

Are there any validation/auxiliary data or services you require for your research, but are not currently available? *

# Thank you for your answers so far. Not long to go now! #THEME 6: Data visualisation and output needs

What type of data do you usually need to visualise? *

Why do/would you use a data visualisation tool/provider?

Which data visualisation tools/providers do you use? *

Please list at least one strength and one weakness of the data visualisation tool/provider, if you use any

What is/would be your preferred format for data outputs? *

What are the time intervals you need outputs in? *

Do you require the uncertainty related to the algorithm/model you deploy to be available within the data outputs? *

Would you share data and data outputs with others, if that gave you access to other people's data and data outputs? *

THEME #7: Feedback on Co-ReSyF(Please visit for more information on the project)If you are unfamiliar with the Co-ReSyF concept, please skip to Q15

Based on your current understanding of the Co-ReSyF platform, how probable is it that you'll use Co-ReSyF for your research?

One thumb = Not very probable
Two thumbs = Maybe
Three thumbs = Definitely!

What would be the main reason to use Co-ReSyF for your research?

What would you consider to be a barrier for you in using Co-ReSyF for your research?

What device would you most likely use Co-ReSyF on?

To receive our three annual newsletters, and stay up to date with the project news, please join the Co-ReSyF user email list by typing your email below, or on our website: *

# You have reached the end of this survey! #
Thank you kindly for all your answers. Your feedback and comments are very useful to us. Kind regards, the Co-ReSyF team 

Before you go, please use this space for any additional comments about the Co-ReSyF platform (optional)

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