Welcome to the Earth Observation Training Data Lab survey

We would like to hear your feedback so we can build a better platform for you.

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Overview

The European Space Agency (ESA) Earth Observation Training Data Lab (EOTDL) provides an accessible repository of training data for machine learning and artificial intelligence as well as open-source tools to create, share, and improve datasets. Machine learning algorithms can be explored and trained with ease thanks to integrated cloud computing and a well-documented toolbox.

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Have you used EOTDL?

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What best describes your background?

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Your experience

How easy is it for you to access data, models and the cloud workspace on the EOTDL platform?

How would you rate the ease of navigation within the EOTDL platform (e.g., browsing datasets and models, accessing the workspace)?

Have you found the available documentation or tutorials helpful for using EOTDL effectively?

How well does the platform meet your current needs for Earth Observation data and models?

How satisfied are you with the variety of datasets currently available on EOTDL?

How satisfied are you with the variety of models currently available on EOTDL?

How would you rate the technical support and responsiveness of the EOTDL team?

Have you experienced gaps in the data that limited your research or project development? If so, please describe.

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Has EOTDL enabled you to expand your use cases or research in ways that were not possible before?

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How has EOTDL helped save time or resources in your application or research workflows?

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Do you currently have projects in development that will use the EOTDL platform?

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Are there specific thematic areas (e.g., agriculture, disaster response) or sensors (e.g., Sentinel-2, PlanetScope) you would like to see more data or models for?

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What features or services could EOTDL introduce to better support your long-term goals?

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Do you have any other comments or suggestions for us?

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