The SWIFTT consortium is composed of Wildsense (FR), Space Research Institute (UA), University of Bari Aldo Moro (IT), Leibniz Universität Hannover (DE), Timbtrack (BE), Fürstliches Forstamt Bückeburg (DE), Groupe Coopération Forestière (FR), Rigas Mezi (LV), and Da Vinci Labs (FR).
Wildsense develops remote sensing tools and mobile applications to monitor forest health. Working alongside foresters, the company develops models to detect windthrow damage, insect outbreaks and forest volume using satellite imagery.
Space Research Institute of the
National Academy of Sciences of Ukraine
The Space Research Institute NASU-SSAU (SRI NASU-SSAU) was established in 1996 at the National Space Agency of Ukraine and National Academy of Sciences of Ukraine for the organisation of scientific space researches in the country, to conduct and coordinate scientific and engineering activities in the area of peaceful exploration and use of outer space. It is a leading organization in research, development methods and information technologies, as well as in the provision of corresponding services in the Earth observation domain. SRI NASU-SSAU has a strong experience in solving applied problems, regarding agriculture and natural disasters using modern data assimilation and data fusion techniques.
University of Bari Aldo Moro
The University of Bari Aldo Moro (UNIBA) is one of the most renowned and prestigious universities in the South of Italy, founded in 1924. With currently over 43,000 students, it is one of the largest generalist Universities in Italy with 19 Departments, covering all fields of research. UNIBA contributes to SWIFTT , through the Knowledge Discovery and Data Engineering (KDDE) lab of the Department of Computer Science, leading research activities on machine learning. KDDE is active in several EU and National projects related to both basic and applied research in Data Science.
Institute for Information Processing
of the Leibniz Universität Hannover
The “Institut für Informationsverarbeitung” (Institute for Information Processing) is the home of machine learning at the Leibniz University Hannover. We focus on three main research directions, namely (I) computer vision & representation learning, (II) signal processing & -coding and (III) automated machine learning. Our methods range from deep learning, automated machine learning, reinforcement learning, image analysis, remote sensing and compression of audio, image, video as well as DNA to biomedical data. Our efforts are directed towards making efficient use of multi-modal and high dimensional data for reliable predictions, ultimately supporting end-users, developers and decision makers in a vast range of applications.
Timbtrack offers new innovative solutions to individuals and professionals managing woodlands. Our tools have been designed to simplify the field and office work of our users by automatizing the collect of data on the field and the upload on our software.
Fürstliches Forstamt (Donatus Prinz zu Schaumburg-Lippe)
As a private forestry company of the Prince of Schaumburg-Lippe, FF, the Princely Forestry Office in Bückeburg manages forest in a size of about 3,900 hectares in the states of Lower Saxony, North Rhine-Westphalia, Thuringia, and Mecklenburg-Western Pomerania. The forestry company is therefore certified according to the guidelines of the "PEFC" – a global initiative for the sustainable and environmentally friendly management of forests.
Groupe Coopération Forestière
The Groupe Coopération Forestière (GCF) is a union of forest cooperatives spread throughout the French territory. Cooperative forest owners entrust the management of their forests to cooperatives as well as the harvesting and marketing of wood products. Within the fragmented French private forest, forest cooperatives allow the economically necessary grouping of private forest owners, in order to optimize the sustainable management and enhancement of their forests and mobilize their woods. The Forest Cooperation Group puts everything in place to meet the common needs of cooperatives that are at the service of cooperative forest owners, respecting the ethical values of cooperatives.
SIA “Rīgas meži” is a commercial enterprise owned by Riga City municipality. It manages forest properties, parks and gardens owned by Riga City. It harvests raw timber in forest properties managed by SIA Rīgas meži providing a predictable, regular and stable raw timber material flow. The RM forest management system operates in accordance with PEFC and FSC certificates. To ensure ecosystem services provided by forests, forest management is carried out through landscape ecological planning.
Da Vinci Labs
Da Vinci Labs is a research and incubation structure inspired by Leonardo da Vinci. Its interdisciplinary and humanistic approach aims to respond in a competitive way to the ecological challenges of tomorrow, and to bring out the future champions of deeptech, in particular in the field of quantum technologies, artificial intelligence and synthetic biology. To do this, Da Vinci Labs participates in European collaborative research projects and builds a technological infrastructure in Touraine which will be made available to researchers and entrepreneurs ready to tackle our major societal challenges.