39th Annual EARSeL Symposium
DIGITAL | EARTH | OBSERVATION
Satellite image processing used to be digital from early on. Still, since digital image processing of Landsat imagery started in the early 1970ies, the workflows used to bear a significant share of ‘manual’ data manipulation, including storage, pre-processing, and supervised classification. Only today, with heavily increased computing power, cloud storage and processing systems, as well as automated information extraction, the workflows experience disruptive changes which both the scientific community and the Earth observation service industry have to cope with.
But ‘digital’ refers to more than an increased level of workflow automation. In fact it encompasses the greater societal and technological transformations we are facing in the way how massive (‘big’) data, including satellite-borne data, is being conditioned, exploited and combined with other big data sources, and delivered in near real-time to users in highly integrated information products.
The 39th EARSeL symposium, held in Salzburg in July 2019, explores the challenges and opportunities ahead of us. In a vibrant environment of young researchers, experienced GI capacity centres, we are offering an inspiring conference setting, supported by the Copernicus Academy, by ESA, and dedicated industrial partners.
We warmly welcome you to be part of this exciting event!
Stefan Lang & Dirk Tiede
Heads of the OBIA Lab and representatives of the local organising team.
- Big data | Digital Earth
- Machine learning | Deep learning
- Computer vision | Knowledge organising systems
- Interoperability | Online processing | INSPIRE
- Data cubes | EO data infrastructure
- Copernicus missions | Current Sentinel and upcoming
- EO applications | Societal benefits | SDGs
- In-situ data | Crowd mapping | Geo-social networks
- New jobs | Markets and opportunities
Registration opening: November 11, 2018
Early bird registration: until April 30, 2019
Abstract submission: until January 15, 2019
Notification of authors: March 1, 2019
Upload of final abstract: until April 5, 2019