2020 INSPIRE hackathon D2K7

What: In this webinar we will explore possible machine learning algorithms and artificial neural networks that can be used for field boundaries detection from Sentinel 2 or Landsat images. Relevance to several of the Dubrovnik INSPIRE hackathon challenges as well as challenges of the Kampala INSPIRE hackathon will be highlighted.

Why: Accurate information on field boundaries is very important input for many reasons: eg. having accurate information on crop types and boundary defining a given soil block, we can for example determine the yield potential or the amount of fertilizer needed for given type of crop very precisely.

One of the possible ways is to exploit the potential of satellite imagery (Sentinel 2 or Landsat images), which provide a wealth of information about Earth’s surface and are available as open data. In conjunction with machine learning algorithms, we can get very interesting inputs for precision agriculture.

Who (is the webinar for): Academia & Research Researchers and Innovators who are engaged with solution of challenges related to AI and satellite images. Farmers’ associations and agricultural companies. Any possible participant of the Kampala Hackathon, who is considering his/her participation in this challenge

Peter Baumann is professor of Computer Science at Jacobs University Bremen and CEO & founder of rasdaman GmbH, Bremen. He has contributed to pioneering Array Databases (data models and query languages, storage and query optimization, architectures, applications such as in the earth, space, and life sciences) and advancing standardization of spatio-temporal geo services (OGC, INSPIRE, ISO) and Array SQL (ISO). Peter has been working close to the borderline between scientific innovation and industrial application. When at Technical University Munich, his work emerged into what now is his core topic: flexible, efficient services on large, multi-dimensional raster data sets. Peter architected rasdaman ("raster data manager"), the world's first Array Database System which is fully implemented and in operational use. The underlying concepts have been patented in Europe, USA, and Canada. Doing applications in Earth and life sciences brought Peter into geo service standardization. In OGC he is leading several working groups, and he is editor of OGC's Big Data standards suite, WCS, and the OGC Web Coverage Processing Service (WCPS) datacube query language. In ISO, Peter initiated Array SQL now being co-editor of the specification.

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Machine learning algorithms and their use for detection of objects in satellite images

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