The general objective of the project is to develop an innovative product that, through the superior use of satellite imagery to identify vegetation types, its stage of evolution, species, land use, evolution of buildings and green areas, allows timely monitoring of the evolution of areas of interest at reasonable costs (reduced compared to current monitoring models), benefiting from the availability of several sets of images related to each area. The product will be used in urban management, as well as in the field of precision agriculture and biodiversity protection. The use of free satellite data provided by the European Space Agency, coupled with high-resolution commercial data allows for efficient monitoring, in line with the European Commission’s territorial development strategy, aligned with the objectives of territorial observatories and ensuring efficient use of resources. The project delivers a “best-value for money” product to local, regional and national authorities, as well as non-governmental organizations, farmers’ associations and individual farmers. The product is intended to be scalable and customizable, so that it can be easily replicated / resold in the Member States of the European Union, the European Economic Area, as well as in third countries.


O1. (Semi) automatic identification of green spaces, buildings, agricultural crops, forests, etc. satellite database as well as how to use it. Specific objective 1 aims at collecting satellite information and using it in industrial research activities in order to develop its own satellite data processing algorithms, which will be used in the field of precision agriculture and biodiversity – protected areas and urban planning. This objective will be achieved through the implementation of Activity 2 – Industrial Research in which research activities in the field of Biodiversity will be combined with research activities in the field of agriculture and in the field of algorithms. We expect to achieve the following results: satellite images selected and processed in order to obtain the research report in the field of agriculture, a research report in the field of biodiversity. Based on these results we will obtain computer algorithms that process, analyze satellite information and software modules to protect biodiversity and usable in precision agriculture.


O2. Development of a collaborative platform for automatic processing of satellite data, which will also serve as a basis for training and validation of scientific hypotheses in the university environment. OS2 will be achieved through the implementation of A3.1, in which research will be found for development. a rapid prototyping platform for the rapid visualization and processing of satellite data. The rapid prototyping platform will be used both by university authorities for agricultural and biodiversity research activities and by the company, in the process of developing the new algorithm and validating scientific hypotheses. Achieving this OS will also contribute to the implementation of A4 – SME Innovation and A5 – Production activities, through which consulting services will be well done for the application of new methods of delivery of satellite data supply processing services, respectively to be met equipment. necessary for production. The company will pursue national laws with other initiatives at European and European level so that it can be exploited and disseminated at European level.

Projects funded by European Union programs will be considered, in particular under Horizon 2020.

Expected results: a rapid prototyping platform, a package of innovation services in SMEs and equipment needed for production.


O3. Dissemination of research results through the publication of scientific articles and participation in specialized conferences. Specific objective 3 will be achieved by implementing the activity of disseminating the results of the experimental development (A3.2), which aims to enhance the results of the project. This will be done by disseminating the results in 2 conferences and by publishing 2 articles in specialized publications.

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