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European Union Satellite Centre © 2020
Final BETTER Hackathon
SAR-based change detection:
enhanced analysis and postproces...
European Union Satellite Centre © 2020 2
Outline
PLEASE INTERACT WITH THE CHALLENGE PROMOTER !
https://meet.google.com/bm...
European Union Satellite Centre © 2020 3
SatCen RTDI Unit
“Supporting the decision making and actions
of the EU in the fie...
European Union Satellite Centre © 2020 4
BETTER Project
 BETTER (Big-data Earth observation Technology
and Tools Enhancin...
European Union Satellite Centre © 2020 5
Challenge
• Extremely large and complex datasets
• SatCen aims to enhance the cap...
European Union Satellite Centre © 2020 6
SatCen Challenges
- Change Detection and Characterization 1 (SAR Change Detection...
European Union Satellite Centre © 2020 7
• Traditional practices in GEOINT are based essentially on visual
interpretation ...
European Union Satellite Centre © 2020 8
Change Detection
Google image – 27/02/2018 Google image – 30/05/2018
RGB: Jan18-J...
European Union Satellite Centre © 2020 9
Time Series
European Union Satellite Centre © 2020 10
• For participants
• Discover BETTER in an interactive way
• Learn about S1 imag...
European Union Satellite Centre © 2020
RTDI Unit – Capability
Development Division
rtdi@satcen.europa.eu
Thanks!
Let’s sta...
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Better Hackathon 2020 - SatCen - SAR-Based Change Detection - Enhanced Analysis And Postprocessing

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As part of the final BETTER Hackathon, project partners prepared 4 hackathon exercises. SatCen organised this exercise as the challenge promoter for the Geospatial Intelligence thematic area. This step-by-step exercise featured the use of Binder and purposely provided cloud resources but could also be run locally through a Docker image and Docker Compose. Participants were expected to be familiar with the Jupyter environment (Python 3) and the most common EO libraries (e.g. GDAL / Rasterio, pandas + numpy, scipy). The recorded part includes the introduction of the exercise in the context of the BETTER project.

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Better Hackathon 2020 - SatCen - SAR-Based Change Detection - Enhanced Analysis And Postprocessing

  1. 1. European Union Satellite Centre © 2020 Final BETTER Hackathon SAR-based change detection: enhanced analysis and postprocessing RTDI Unit – Capability Development Division
  2. 2. European Union Satellite Centre © 2020 2 Outline PLEASE INTERACT WITH THE CHALLENGE PROMOTER ! https://meet.google.com/bma-jqsp-axz - BETTER Project and the GEOINT challenges - Tour de Table - Introduction to the coding environment - Exercises - Explanation of the task - Steps to perform it - Review and Open discussion
  3. 3. European Union Satellite Centre © 2020 3 SatCen RTDI Unit “Supporting the decision making and actions of the EU in the field of the Common Foreign and Security Policy by providing products and services resulting from the exploitation of relevant space assets and collateral data” The SatCen Research, Technology Development and Innovation Unit is implementing new operational solutions looking at the whole EO and collateral data lifecycle: • New Data Acquisition Systems (e.g. HAPS) • Secure SatCom (e.g. EU GovSatCom) • Innovative Technologies (e.g. Big Data, AI) • EO Based Applications (e.g. SAR CD) • Cooperation (e.g. ESA, GEO, H2020)
  4. 4. European Union Satellite Centre © 2020 4 BETTER Project  BETTER (Big-data Earth observation Technology and Tools Enhancing Research and development) H2020 project (November 2017 - January 2021)  Implement a EO Big Data intermediate service layer devoted to harnessing the potential of the Sentinel European EO data directly from the needs of the users.  BETTER developments will be driven by a large number of Big Data Challenges to be set forward by the users deeply involved in addressing the Key Societal Challenges.  During the project each promoter (3) introduced 9 challenges, 3 in each project year, with an additional nine brought by the “Extending the market” task, in a total of 36 challenges. This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement no 776280
  5. 5. European Union Satellite Centre © 2020 5 Challenge • Extremely large and complex datasets • SatCen aims to enhance the capabilities of the Geospatial Intelligence (GEOINT) community in the Space and Security domain through the provision of improved EO products and applications exploiting Big Data methods and techniques Solution - BETTER • Facilitate the usage of large volume and heterogeneous datasets. Users can focus on the analysis of the extraction of the potential knowledge within the data and not on the processing of the data itself • BETTER is improving the way Big Data service developers interact with end-users. SatCen in BETTER
  6. 6. European Union Satellite Centre © 2020 6 SatCen Challenges - Change Detection and Characterization 1 (SAR Change Detection with SLC data) - Thematic Indexes 1 (water and vegetation indexes with Optical data) - Land Use / Land Cover 1 (Illicit Crop Monitoring) - Change Detection and Characterization 2 (SAR Change Detection with GRD data) - Thematic Indexes 2 (mineral indexes with Optical data) - Land Use/Land Cover (Illegal deforestation) - Change Detection and Characterization 3 (CCD with Sentinel-1 SLC IW data) - Thematic Indexes 3 (Thermal​ ​Indexes​ ​e.g.​ ​identify​ ​temperature​ ​variations) - Land Use/Land Cover 3 (burned area identification)
  7. 7. European Union Satellite Centre © 2020 7 • Traditional practices in GEOINT are based essentially on visual interpretation of Very High Resolution (VHR) images • S1 can provide a valuable support:  High revisiting time regardless of weather conditions  Advantageous monitoring capability for wide areas  Free, full and open data policy for Copernicus programme Sentinel-1 Once a phenomenon of interest is highlighted with Sentinels, VHR images are collected to complement the information initially obtained
  8. 8. European Union Satellite Centre © 2020 8 Change Detection Google image – 27/02/2018 Google image – 30/05/2018 RGB: Jan18-Jun18 RGB: Jun18-Sep18
  9. 9. European Union Satellite Centre © 2020 9 Time Series
  10. 10. European Union Satellite Centre © 2020 10 • For participants • Discover BETTER in an interactive way • Learn about S1 image processing and change detection • Share knowledge with other participants and organizers • For BETTER • Enable the use of specific solutions in other areas and the collection of additional user feedback • Increase awareness on the infrastructure and the project itself • For SatCen • Share knowledge with other users (new points of view, new ideas…) Importance of the hackathon
  11. 11. European Union Satellite Centre © 2020 RTDI Unit – Capability Development Division rtdi@satcen.europa.eu Thanks! Let’s start coding! https://github.com/ec-better/hackathon-2020-satcen

As part of the final BETTER Hackathon, project partners prepared 4 hackathon exercises. SatCen organised this exercise as the challenge promoter for the Geospatial Intelligence thematic area. This step-by-step exercise featured the use of Binder and purposely provided cloud resources but could also be run locally through a Docker image and Docker Compose. Participants were expected to be familiar with the Jupyter environment (Python 3) and the most common EO libraries (e.g. GDAL / Rasterio, pandas + numpy, scipy). The recorded part includes the introduction of the exercise in the context of the BETTER project.

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