Geospatial Intelligence Challenges


The rapidly increasing amount and variety of data coming from satellites and other sources in the Space and Security domain is raising new issues such as the management and exploitation of extremely large and complex datasets.

In these challenges, BETTER will explore the added value provided by Big Data methods in developing products and applications tackling the following main topics:

  • Change Detection and Characterization,
  • Land Use / Land Cover,
  • Thematic Indexes.


Currently, the EU Satellite Centre (SatCen) supports the decision making and actions of the European Union in the field of Common Foreign and Security Policy (CFSP), in particular Common Security and Defence Policy (CSDP), including European Union crisis management missions and operations, by providing products and services resulting from the exploitation of relevant space assets and collateral data, including satellite imagery and aerial imagery, and related services.

With the BETTER project, 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.  

Geospatial Intelligence Data Challenges
Identified Challenge Short Description Result
GI1: Thematic Indexes 1 (water and vegetation indexes with Optical data)

The purpose of this challenge is investigating the possibility of producing accurate water and vegetation indexes (e.g. NDWI and NDVI) using time series of Sentinel-2 data..

Availability expected mid-2019.
GI2: Change Detection and Characterization 1 (SAR Change Detection with SLC data)

The purpose of this challenge is providing stack of Multi-Temporal Coherence from Sentinel-1 StripMap images acquired over the same area, in order to visualize changes over man-made and natural structures.

Availability expected mid-2019.
GI3: Land Use / Land Cover 1 (Illicit Crop Monitoring)

The purpose of this challenge is collecting Sentinel-2 atmospherically corrected images (Level 2A), to obtain analysis ready data to be used for further applications (e.g. the detection of illicit crops based on spectral signatures).

Availability expected mid-2019.


Challenges Overview
This site uses cookies and Google Analytics to enhance your experience. When you continue to browse, you are accepting You are using an outdated browser. Please, upgrade your browser to improve your experience.