Change Detection based on SAR Single Look Complex (SLC) data

One of the first BETTER challenges being explored in the Geospatial Intelligence category is the use of Single Look Complex StripMap Sentinel-1 images for the monitoring of an area of interest to detect natural or human activities.

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BETTER supports WFP Challenges for precise Humanitarian Assistance

BETTER is supporting WFP to optimize its humanitarian intervention plans, which are not only related to emergency or crisis responses but include interventions that aim to enhance the resilience of communities and the increase in community assets.

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BETTER is devoted to maximizing the exploitation of Copernicus to address Key Societal Challenges

Whether you are an EO service provider, a non-EO expert decision maker or a developer, BETTER can boost your EO solutions with the advantages of Big Data technologies. If you are interested in becoming a new Challenge Promoter in 2019 or you would like to assess other possibilities to engage with BETTER, contact us

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Big Data.. from Space!

The BETTER project will be identifying up to 36 big data challenges over the course of 3 years, starting with the 9 identified for 2018. Strictly viewed from a data ‘volume’ perspective, some of the identified challenges do not at first glance appear to handle ‘big’ data. On closer inspection however, they nevertheless pose a big data problem. In this blogpost we explain why.

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A BETTER project for exploiting Big Data in Earth Observation

Big-data Earth observation Technology and Tools Enhancing Research and development is an EU-H2020 research and innovation project, started in November 2017 to the end of October 2020.

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SANSA 0.4 (Semantic Analytics Stack) Released

The SANSA Stack is one of the earmarked big data analytics components tsansa-stack-architecture.pngo be employed in the BETTER data pipelines. The Smart Data Analytics group announced yesterday SANSA 0.4 - the fourth release of the Scalable Semantic Analytics Stack.
SANSA employs distributed computing via Apache Spark and Flink in order to allow scalable machine learning, inference and querying capabilities for large knowledge graphs.

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