Exploring European Geospatial Data Tools

The Rustik partners are continuing their learning journey, acquiring new insights to develop their data experiments. Recently, MCRIT and the Universidad Autónoma de Barcelona organized a training session on European geospatial data tools. Participants gained skills in data visualization, downloading capabilities, and basic analysis, focusing on:

  • Using web tools to search and download satellite imagery and related data.
  • Conducting visual analysis of geospatial data, including comparisons and time-lapse views.
  • Identifying and accessing relevant data for specific areas of interest.
  • Applying geospatial data tools effectively in their work or projects.

Copernicus Tools: Copernicus, the EU’s Earth observation program, provides free and accessible information services from satellite and in-situ data sources. Tools include:

  • Sentinel-1: Radar imagery for land and ocean services.
  • Sentinel-2: High-resolution optical imagery for monitoring vegetation, soil, and water.
  • Sentinel-3: Data for marine and land services, such as ocean and land surface temperature.
  • Sentinel-6: Altimetry data for measuring global sea-surface height.

Copernicus Data Space Ecosystem CDSE This platform offers real-time data access, customizable imagery rendering, and extensive cloud options for processing Copernicus data.

Copernicus Land Monitoring Service (CLMS): Provides essential land cover information for applications in spatial planning, agriculture, and climate change mitigation.

EEA and JRC Tools: The European Environment Agency (EEA) and Joint Research Centre (JRC) offer tools like the JRC Data Catalogue, European Drought Observatory, Urban Data Platform, and European Soil Data Centre (ESDAC). These tools support various applications in spatial planning, forest management, water management, agriculture, and more.

Explore these tools and data resources for informed decision-making and impactful projects.

Data Scraping Training Recap!

Data Scraping Training session Rustik toons at the workshop, talking to each other next to a giant computer with a presentation on it.

A Data Scraping Training session was hosted by MCRIT Multicriteria Planning, Work Package 2 (Co-design of data collection approaches, databases, and RUSTIK information system) leaders on 29 April, 2024. This training was tailored to meet the specific needs of Living Labs involved in the data experimentation process.

 What is Data Scraping?

Data scraping, also known as web scraping, is the automated process of extracting information from websites or databases. This enables us to efficiently gather large volumes of data for analysis, uncovering valuable insights and trends.

 Training Highlights

  • From Data to Geospatial Information: Participants learned how to convert raw data into meaningful geospatial information. This process is crucial for visualizing and understanding the spatial dimensions of the data collected.
  • Relevance of Geographical Information for RUSTIK: This part of the session highlighted the importance of geospatial analysis. Moreover, participants gained insights into territorial dynamics and learned how geospatial data facilitates informed decision-making in various domains such as urban planning, environmental management, and transportation logistics.

Scraping Techniques

Attendees discovered methods to extract data from various online sources, automating the process for streamlined workflows and access to up-to-date information. Tools such as Apify and Geofabrik were introduced.

  • Apify: A platform that allows users to automate web scraping tasks without writing any code, making it accessible to users of all skill levels.
  • Geofabrik: Provides geospatial data extracts and tools for OpenStreetMap, enabling users to access and process geographic data for a wide range of applications.
  • Transforming Scraped Data into Useful Information for Living Labs: the training focused on how to process and transform the data extracted from websites into actionable insights for the Living Labs‘ experimentation processes. Participants learned best practices for cleaning, structuring, and analysing the data to support their specific needs and objectives.

To conclude, as the training wraped up, it’s time to put the knowledge into action. Our Living Labs partners will leverage these tools for their data experiments. Stay tuned and follow the project to catch the exciting results!