Progressive meets Society – Interview with Frank S. Marzano

If “Data science is the sexiest job in the 21st century” as often mentioned, then we may say that “Earth Observation is certainly the funniest”


The demand for professional figures able to manage and interpret the growing availability and complexity of data has been increasing rapidly with the advent of new technologies. Sapienza University of Rome was the first Italian University and one among the first in Europe to address this labour market need with the establishment of the Laurea Magistrale in Data Science back in 2015. The Master degree holds a direct link with the space domain, having enriched its offer with the Earth Observation Data Analysis Lab organized in collaboration with the ESA Research and Service Support service.

We have asked Prof. Frank S. Marzano, professor from the Department of Engineering at Sapienza University of Rome, how the Master Degree was able to attract a growing participation of students year after year and in which way the link with the Earth Observation domain contributed to such a success.

The Sapienza University of Rome was the first Italian university and one of the first in Europe to launch a Master’s Degree in Data Science back in 2015, can you tell us more about the work you do in this regard?

The Laurea Magistrale in Data Science at Sapienza University of Rome was one of the first in Europe, but the first in Italy. I was contributing to enlarge the offer to include Earth Observation (EO) into Data Science courses and students background.

Why was a Master’s Degree in Data Science needed back then?

The need of MSc in Data Science was due to the remarkable increase in the volume and complexity of available data and new technologies that have been developed. Processing them requires a combined multi-disciplinary approach to design an overall strategy aimed at transforming data into useful information. Key ingredients to develop a successful strategy are data manipulation and visualization, large scale computing, statistical modelling, learning techniques and algorithmic thinking.

How did the educational program evolve over time to keep pace with the technological advances in the field of data science?

The Laurea Magistrale in Data Science is a Master degree taught in English. It is a joint initiative within the i3S Faculty combining the expertise of four Departments:

  • Department of Computer Science (DI)
  • Department of Computer, Control and Management Engineering (DIAG)
  • Information Engineering, Electronics and Telecommunications (DIET)
  • Statistics (DSS)

This Master program provides a solid and modern preparation to understand and manage the multi-facet aspects of carrying out a complete data analysis, including acquisition, management, and statistical analysis. Its educational program benefits from this inter-department and inter-disciplinary approach to keep pace with the scientific and technological innovation.

The Master’s Degree is currently in its fifth edition and it has been receiving a very positive response with the number of students doubling year after year. In your opinion, which is the reason behind such a success?

The success is probably due to the innovative approach of this Master’s program in Data Science aimed at mixing all the necessary ingredients for a successful learning: a solid multi-disciplinary theoretical background combined with a frequent use of laboratory activity and special emphasis on developing a final data-science thesis project. The program is taught in English to attract the motivated students from everywhere and help them develop the necessary ability to interact in an international multidisciplinary environment. It is a 2-year, 120 ECTS program ending with the development and discussion of a final thesis project.

What kind of role partnerships with Earth Observation experts played in providing a real hands-on experience with the space domain of applications to students?

The role of the Earth Observation experts has been and is essential as they can provide a real hands-on experience to students showing the most updated tools, such as the Sentinel Application Platform (SNAP) platform, as well as using Sentinel data for a variety of applications. In my Earth Observation (EO) Data Analysis course the partnership with the ESA Research and Service Support (RSS) group in ESRIN was greatly appreciated by all students and is probably one of the reasons for the increase of the number of EO students from 5 to 30 in only 3 years.

With a look to the future, what jobs will be the most in-demand in the field of Earth Observation according to you?

Most appealing and requested EO jobs will be probably related to EO big-data analysis both in the midstream and downstream domain. This means that professionals should be able to develop new retrieval algorithms and to understand the physical modelling behind as well as to be capable to apply new machine learning techniques and set up robust data pipelines for data processing.

More generally, where do you see the society taking the most benefit from Earth Observation in 5/10 years from now?

Earth system monitoring applications as well as security, civil protection, urban planning and agricultural production will be the most explored domains. EO data support to governmental policy makers will be probably more and more requested.

For a close, is there anything else you would like to add?

In conclusion, if “Data science is the sexiest job in the 21st century” as often mentioned, then we may say that “EO is certainly the funniest”.


To learn more about Frank S. Marzano

Prof. Frank S. Marzano received the Laurea degree (cum laude) in Electrical Engineering (1988) and the Ph.D. degree (1993) in Applied Electromagnetics both from the Sapienza University of Rome, Italy. During 1993 he collaborated with the Institute of Atmospheric Physics, National Council of Research (CNR), Rome, Italy. After being a lecturer at the University of Perugia, Italy, in 1997 he joined the Department of Electrical Engineering, University of L’Aquila, Italy teaching courses on electromagnetic fields as Assistant Professor. In 2002 he got the qualification to Associate Professorship and co-founded Center of Excellence on Remote Sensing and Hydro-Meteorological Modeling (CETEMPS), L’Aquila. In 2005 he finally joined the Dept. of Information engineering, Electronics and Telecommunications (DIET), Sapienza Univ. of Rome, Italy where he presently is a full professor and teaches courses on antennas, propagation and remote sensing. Since 2013 he is the director of Centre of Excellence CETEMPS of the University of L’Aquila, Italy. His current research concerns passive and active remote sensing of the atmosphere from ground-based, airborne, and space-borne platforms and electromagnetic propagation studies. Prof. Marzano has published more than 150 papers on refereed International Journals, more than 30 contributions to international Book chapters and more than 300 extended abstract on international and national congress proceedings. Since 2014 he is Associate Editor of IEEE Transactions on Geoscience and Remote Sensing (TGRS) as well as the journal EGU Atmospheric Measurements Techniques. Dr. Marzano is Fellow of RMetS (Royal Meteorological Society) since 2012 and Fellow of IEEE since 2015.

The Earth Observation Data Analysis Lab continues to train the next generations of data scientists

32 brilliant students concluded with success the 4th edition of the EODA Lab last June, the course run by Progressive Systems in the frame of the ESA Research and Service Support

Large attendance was recorded to the 2020 edition of the Earth Observation Data Analysis – EODA Laboratory. The EODA course, taught by prof. Frank S. Marzano, is completely dedicated to Satellite Remote Sensing and EO applications and is held within the Master Degree in Data Science of Sapienza University of Rome. Training skilled professionals who can “mine and interpret the growing availability of complex data”: this is the objective of the Master Degree, which through the EODA Lab was able to open a window on Earth science analysis, offering its students knowledge and tools to effectively manage and interpret satellite data for several environmental and geoinformation applications.

Over three modules, Progressive Systems experts provided an overview on the sensors, characteristics, and main applications of the Copernicus Sentinel 1-2-3 missions, the EU’s fleet of satellites dedicated to the operational needs of the Copernicus Programme. Particular attention was devoted to the hands-on sessions on satellite data analysis and applications with the use of several open-source tools, among which Anaconda, Jupyter, and SNAP (Sentinel Application Platform, the ESA tool for Earth Observation processing and analysis). Students learnt the most important techniques to process data and derive products for information retrieval on atmosphere, land and water which can be transformed into useful knowledge for assessing natural hazards, managing natural resources, setting up early warning mechanisms for crisis management and much more. In full compliance with COVID-19 restriction measures, the lab was completely delivered online and material, including video-tutorials for the hands-on sessions, was prepared and provided to participants to allow for the highest qualitative training experience.

The lab, now in its fourth edition, has managed to attract a growing participation of students year after year, a clear sign that the data scientist is increasingly becoming a key figure for companies, public sector institutions, research and international organizations which work with Big Data.

Training young people interested in starting a career in the Earth Observation domain has always been considered strategic for Progressive Systems. Through the Earth Observation Data Analysis Lab and the long-lasting collaboration with the Department of Information Engineering, Electronics and Telecommunications (DIET) of Sapienza University of Rome enabled by Prof. Frank S. Marzano, Progressive Systems has been investing in this strand of activities to foster young people’s skills development, increase their job-readiness and help bridging the gap between University and Industry.

In pursuing this mission, Progressive Systems gives appointment to all aspiring data scientists at the next edition of the EODA Lab.

Progressive meets Society – Interview with Annamaria Conte

“In the coming decades, the greatest challenge will be moving from big data toward creating value. What we have from Earth Observation offers tremendous possibilities for creative Earth Observation applications, researches and commercial exploitation. But it is fundamental cooperation, dialogue, open data, multidisciplinarity and innovative minds. If each of us brings a piece of the puzzle in the right place, the final picture will be knowledge and benefit for everyone”


The Earth Observation sector is evolving rapidly thanks to the ever-increasing availability of high-quality Earth Observation data both in terms of resolution and revisit time. This is creating opportunities for private and public entities that have recognized the potential of satellite observations to support their decision-making on a wide range of societal and environmental challenges.

We have interviewed Annamaria Conte, Head of Statistics and GIS Unit at the Istituto Zooprofilattico Sperimentale dell’Abruzzo e del Molise “G. Caporale” (IZSAM), the public health institute which operates as a technical and scientific arm of the Italian Ministry of Health. Annamaria shared with us the experience of IZSAM with Earth Observation data and how their exploitation is adding value to the work at the Institute.

IZSAM has been working to safeguard the health of humans and animals for almost 80 years. Can you tell us more about the work you do?

The ongoing epidemic clearly shows us that human health is strictly linked to animal health and the ecosystem in which we live. Protecting the environment and animals, taking care of their health means preserving human health. And this is something that IZSAM has been always working on.

Let me start mentioning the present, what we have been doing since March 16 2020 during the COVID-19 epidemic. IZSAM has processed until today more than 60.000 human samples in support of the diagnostic workflow for SARS-CoV-2 of the Abruzzo and Lombardy regions. Moreover, IZSAM is engaged in the data analysis with the production of an online dashboard and a daily report. IZSAM is also promoting researches and studies to better elucidate the factors influencing the infection spread and carrying out epidemiological investigations. In addition, IZSAM is involved in the post lockdown serological surveillance of workers employed in various enterprises in the Abruzzo region.
In a very short time, IZSAM has made available its experts, its technologies, its resources to respond to an unknown virus epidemic. And this has been done thanks to our experience in working in emergency and following a multidisciplinary approach.

For over 30 years the IZSAM has understood that humans, animals and the ecosystem must be studied together, and this cannot be limited to human and animal doctors. It is necessary to base the knowledge on multidisciplinary teams. In IZSAM, in addition to the health figures of veterinarians and biologists, we have statisticians, mathematicians, GIS experts, computer scientists, engineers, bioinformaticians, trainers, social sciences experts, psychologists, and this means that health issues are addressed from every possible angle, approached transversely, satisfying the societal demand. All in full respect and harmony with what Europe asks us about research: analysis of problems, solutions, generate economy and improve citizens’ health.

This approach that has always characterized IZSAM, in recent years has led us to partnerships unthinkable until a few years ago (e.g. the European Space Agency, the Engineering Departments of the most prestigious Universities), driving IZSAM more and more towards innovation, towards the Big Data era, towards the Earth Observation and Artificial Intelligence fields.

The opportunity to collaborate with the most important Intergovernmental Agencies (the World Organisation for Animal Health – OIE, the Food and Agriculture Organization of the United Nations – FAO) brings our experts in many countries, in Africa, the Middle East, Eastern Europe, where they are asked to study problems and find solutions, while collecting fundamental field experiences on diseases that we do not have in Europe.

The Institute has been exploiting Earth Observation data in diverse initiatives. Can you share with us a couple of examples?

For several years, our Institute has been using EO data to study the influence of climatic and environmental factors on vector-borne diseases (VBD) and vector population dynamics. Most of the environmental variables (geographical, climatological, and hydrological) that influence the transmission cycle of VBDs between pathogen, vectors and intermediate hosts can be monitored efficiently from satellites capable of capturing these parameters frequently and on a global scale.
Knowing where conditions are favorable for the spread of the virus and for the abundance of vectors is of primary importance for directing surveillance activities. The Ministry of Health funds researches and surveillance plans for millions of euros each year and it is important to get the most in terms of knowledge from these programs. Combining the data collected in field with Earth Observation data and the most innovative and powerful big data analysis techniques, is the direction in which IZSAM is going.

Some examples? A research completed in 2018 (1) produced a classification of the Italian territory in similar ecoregions at 250m resolution. A multivariate statistical clustering algorithm was applied to seven climatic and environmental remote-sensed variables and the final ecoregion map (Figure 1) was adopted by some regions to choose targeted areas for West Nile Virus (WNV) surveillance. In case of entry of a new virus transmitted by vectors, knowing which area is similar to the ones in which the virus starts spreading, can better direct us in field research.

Figure 1

Another example is the project started on September 2019, funded by the European Space Agency (ESA) in the framework of the ESA EO Science for Society Permanently Open Call for Proposals – ‘Artificial Intelligence and Earth Observation Data: innovative methods for monitoring West Nile Disease (WND) spread in Italy’ – AIDEO. Its principal aim is to verify the feasibility of an automated process integrating past WND outbreaks, EO data and Artificial Intelligence algorithms to predict where and when WND cases could re-emerge and spread in Italy.

And Progressive is partner of this project, with its support in acquiring and processing satellite images – Sentinel 1, 2 and 3, Landsat 8 and SRTM (Figure 2). Such images are then analysed using Deep learning techniques by AImageLab, a research laboratory of the Engineering Department “Enzo Ferrari” at the University of Modena and Reggio Emilia, Italy, specialized in Computer Vision, Pattern Recognition and Artificial Intelligence.

Figure 2

This project is a perfect example of the multidisciplinary approach necessary to acquire knowledge and implement new solutions especially in the context of VBD.

Another application of EO data we are exploring relates to the Copernicus Emergency Management Service (Copernicus EMS) which provides information for emergency response in relation to different types of natural and man-made disasters. IZSAM manages the Italian National Animal Identification and Registration System and the Livestock Data Bank. The opportunity to have satellite data with timely and accurate geo-spatial information before, during and after disasters, is fundamental to support Veterinary Services in their prevention, preparedness, response and recovery activities.

Can you tell us what makes the use of satellite data beneficial for your projects?

The changing of climatic and ecological conditions, human behaviour, mobility, as well as the rapid and uncontrolled urbanization, are key factors that influence the seasonal and geographic distribution of vectors’ population and therefore the transmission of pathogens. Having the possibility to acquire data explaining and monitoring such factors with excellent spatial resolution (just think of the Sentinel 2’s 10 – 20 m) and such a frequent revisit time on a global level is a huge resource.
It gives the opportunity to find information on the territory that can guide field activities. Surveillance activities in field are extremely expensive, both from an economic and human resources point of view. Knowing where and when to go to collect samples would save resources and better allocate efforts.

What kind of role partnerships with Earth Observation experts do you expect in your field?

First of all, a clear and constant dialogue is needed to understand which datasets are produced, what characteristics they have and understand the potential use together. Then it is fundamental the support for manipulation and processing of the data to be associated with the health data to answer research questions. There is a real need to assemble datasets from multiple, disparate sources. Analysis of EO data is complicated: data is often at different spatial and temporal resolution, and datasets must be aggregated or disaggregated to harmonize the spatio-temporal scale. Specific technical skills, computational power and processing power are not always present in our sector. For this reason, I see the development of small and medium enterprises to support the Health System (human and animal) to assist epidemiologists in the collection and processing of EO data. Don’t forget that the ultimate goal in research is to generate knowledge, to translate abundant, diverse, and rapidly growing big data into meaningful insights for animal and human health. And if everyone does its part, the end goal is achieved faster.
In IZSAM we have in part the expertise to process and manipulate EO data, we have epidemiologists and disease experts, laboratory facilities, so we cover quite well what the scientific approach needs to meet the requirements of our Ministry of Health, but much more can be done with partnerships with EO experts.

Do you think that the Health sector is nowadays fully taking advantage of the opportunities coming from the Earth Observation sector?

I believe we are only at the beginning of a new era in which new products are available and new frontiers are opening up. Although for years remote sensed data has been used in modelling the spread of animal diseases there is still a lot to study and explore. The increasing availability and complexity of EO data has led to new opportunities and challenges in human and veterinary epidemiology. Products that have a spatial resolution of 10 m and a revisit time of 3-5 days inevitably need experts in the sector who support experts in the Health domain.

If you could turn a wish into a reality, what will an ideal health application based on EO data look like that would really give a boost to your work?

We expect a lot from the one we are already working on: setting up an early warning model based on EO data and AI algorithms which highlights when climatic and environmental conditions are favorable for the spread of a VBD. If the warning arrives early in advance, Veterinary and Public Health Authorities are able to intervene in field with deeper monitoring and control measures. Of course, being disease/pathogen/vector-specific applications, it is certainly not easy to have a single approach, a single model. But the availability of ‘ready to use’ data would already be a wonderful starting point to develop such systems.

Where do you see the society taking the most benefit from Earth Observation in 5/10 years from now?

There is a deluge of data now being returned by Earth observation (EO) satellites. The archives of the big space agencies and companies are filling up with petabytes of information. The future will be to use all this information in ever smarter ways, using machine learning, deep learning to extract even more relevant insights into the changes taking place on our Earth. The fields of application will be ever larger and ever more disparate: climate, energy, protection of the environment and natural resources. But definitely Health is in the list.
Last March 10, ESA organized an online and live streamed workshop “EO and AI for Health and Urban Resilience Workshop” with specific objectives of identifying the main challenges related to Global Health and Earth Observation at large, and to discuss with scientists, policy makers and industry the most pressing needs and information requirements. A clear sign of the openness that is being created between EO and Health.

For a close, is there anything else you would like to add?

In the coming decades, the greatest challenge will be moving from big data toward creating value. What we have from EO offers tremendous possibilities for creative EO applications, researches and commercial exploitation. But it is fundamental cooperation, dialogue, open data, multidisciplinarity and innovative minds. If each of us brings a piece of the puzzle in the right place, the final picture will be knowledge and benefit for everyone.


To learn more about Annamaria Conte

Annamaria Conte graduated in Statistics at ‘La Sapienza’ University in Rome in 1994. In 1995 she joined the Istituto Zooprofilattico Sperimentale dell’Abruzzo e del Molise “G. Caporale” (IZSAM) – Teramo, Italy (, a Veterinary Public Health Institute serving the Italian Ministry of Health. Since 2009, she leads the Statistics and GIS Unit, coordinating and managing the activities required by the National and International Reference Centers operating at IZSAM (the National Reference Centre for Epidemiology, the OIE Collaborating Centre for Veterinary Training, Epidemiology, Food Safety and Animal Welfare and the FAO Reference Centre for Veterinary Epidemiology).

Her research focus is on epidemiological analytical methods and spatial epidemiology of major animal infectious diseases, including zoonoses, and on the identification of factors influencing the spread and persistence of vector borne diseases. She leads the development of several web-based GIS which provide near-real time surveillance and modelling tools to share and analyse animal disease data and information.

Recent interests are on the integration of remoted sensed data and deep learning methods to produce early warning systems for preventing and controlling, emerging and re-emerging infectious diseases.

She has an extensive training activity on basic and advanced statistical methods, Spatial Analysis and GIS for the European Union, Italian Ministry of Health, Universities, Veterinary Services and Veterinary Public Health Institution.
Over 100 publications on peer reviewed journal.


1 – Ippoliti C, Candeloro L, Gilbert M, Goffredo M, Mancini G, Curci G, Falasca S, Tora S, Quaglia M, Conte A. (2019). Defining ecological regions in Italy based on a multivariate clustering approach: A first step towards a targeted vector borne disease surveillance. PLoS ONE 14(7): e0219072.

New Copernicus Sentinel App release takes users into deeper discovery journey through Sentinel missions

The Solenix-led Consortium rolled out an update bringing a new set of features to the App

Funded by the EU and ESA

Available from the 1st of April, the new version of the Copernicus Sentinel App comes with a brand-new set of features offering an upgraded experience to those who want to have an overview on the Copernicus Sentinels, the EU’s constellation of satellites specifically dedicated to the operational needs of the Copernicus Programme, the Earth Observation programme headed by the European Commission (EC) in partnership with the European Space Agency (ESA).

The new release introduces products for S-5P, a precursor satellite mission performing atmospheric monitoring. Just like for other satellites, users can:

  • track the sentinel satellite in real time, move the sentinel along its orbit, display future acquisitions and visualize when the satellite downloads the data to the Ground Station;
  • search for and browse products in a specific point over the 3D globe, visualize the latest product acquired from the satellite and get a notification when a new product is available;
  • visualize case studies on what the mission has achieved so far for the benefit of society;
  • interact with the sentinel 3D model and its main components;
  • read latest news, watch videos and visualize statistical info about the products.
Acquisition of products feature over a specific area of the 3D globe.

In addition to this, with the more user-friendly ‘Map Layers’ menu option users can now also easily manage the visualization of the layers over the 3D globe and optionally display the atmosphere and day/night effect, the elevation model, the name of places and the constellations.

Map Layers Menu with the display constellations option selected.

Launched back in 2014, the app managed to raise the interest both of the scientific community and the general public. Such a success is the result of the fruitful collaboration of a Consortium led by Solenix and composed by Progressive Systems, Qualteh JR, Terrasigna and GISAT, started under the ESA-EU financed contract for “Social Media and Mobile Applications Development for Earth Observation Ground Segment and Mission Operations” and currently ongoing under the “Maintenance and Evolution of the Copernicus Apps for Mobile Devices” contract, financed by the EU.

The new release of the Copernicus Sentinel App is now available worldwide and free of charge for iOS on the App Store and for Android on Google Play. Other updates are currently under development to ensure an ever-improving user experience.

The views expressed herein can in no way be taken to reflect the official opinion of the European Space Agency or the European Union.

Copernicus Trade Marks in this communication are owned by the EU.

Progressive Systems at the “The Mathematics of Climate and the Environment” Forum

On the 2nd of December Beniamino Abis, Research and Support Engineer for the ESA RSS service operated by Progressive Systems, joined the Coupled Climate-Ecology-Economy Modeling and Model Hierarchies workshop to discuss the interactions between climate systems, ecosystems, financial systems and the economy. Hosted by the Institut Henri Poincaré in Paris, the workshop was part of the wider initiative The Mathematics of Climate and the Environment Forum, a trimester of conferences to explore the latest developments in mathematics which will contribute the most in advancing climate and environmental sciences. The Forum is an important appointment for the experts of the sector and counted on the participation of luminaries in the field such as Professor Lars Peter Hansen, 2013 Nobel Laureate in Economics.

Beniamino presented his study on the boreal forest, an ecosystem of key importance in the Earth system which is being considerably affected by climate change. The boreal ecosystem is undergoing environmental changes more rapidly than any other region on Earth and its surface temperature is increasing twice as fast as the global average. More specifically, his presentation focused on: 1) a methodology to identify potential areas with alternative tree-cover states under the same environmental conditions of the boreal forest; 2) a conceptual model to understand if the competition among tree species with high functional diversity in the boreal forest can explain the observed multistability; 3) an investigation on how the multimodality and multistability of the boreal forest could evolve at high latitudes under different scenarios of anthropogenic climate change. Satellite data had a key role in this framework as they allowed to compare climate and tree-cover data from different regions and continents at the same time, providing a more global perspective.
The conceptual model elaborated raised the interest of the participants and an intense discussion followed the presentation with a focus on global coupled models, wildfires role and future scenarios.

More information on the workshop here.

The Province of Viterbo is looking for environmental monitoring solutions

On the 28th of November, in the frame of the ESA Research and Service – RSS support, Progressive Systems welcomed a delegation of officials from different municipalities in the Province of Viterbo at ESRIN premises for a workshop dedicated to the potential applications of Earth Observation for environmental monitoring. The delegation led by Fabio Valentini, Municipal Councillor at Montalto di Castro, was interested in deepening their knowledge about how satellite data can support competent authorities in tackling different challenges of their territory.

The initiative addressed specific needs to the Viterbo area such as detection of fires, monitoring of water level and quality both in inland and coastal areas, flood management and coastal erosion, air quality monitoring as well as vegetation health. Concrete examples of how those issues can be tackled through the use of satellite data were highlighted by the Progressive Systems team while additional challenges also emerged during the intense discussion and exchange of perspectives among the officials.

Satellite data has proven to be an effective tool to manage properly Earth’s resources and impact positively the economy and society. The officials appreciated the initiative as it opened up a range of opportunities for the resolution of major problems in the area whose concrete feasibility will be explored with Progressive Systems in the near future.

A new project preventing West Nile Disease spread in Italy kicks-off

The 17th of September marks the official start of the AIDEO (Artificial Intelligence and Earth Observation data: innovative methods for monitoring West Nile Disease spread in Italy) project, an ESA Science for Society funded initiative, that involves Progressive Systems, the Istituto Zooprofilattico Sperimentale D’Abruzzo e del Molise, the AImage Lab of Modena and ReMedia of Frascati.

AIDEO aims at developing a process which intends to verify if West Nile Disease risk maps can be produced by using Earth Observation data and specific Artificial Intelligence algorithms. The innovativeness of the project builds upon an unprecedented amount of high-resolution EO data available through the Copernicus programme, combined with AI techniques in an effort to shape complex relationships for example between the presence of WND and the environment in which it spreads.

Risk maps appear to be highly relevant for competent authorities such as Ministries of Health for a double reason: first of all to develop alert systems able to inform those authorities when the conditions become favourable for the spread of the disease; secondly for the epidemiological surveillance and control of the disease.

A first technical meeting was held on the 23rd of October with the objective of planning the future scientific activities of the project. On that occasion it was agreed to start the analysis of the images with two pilot areas: Pianura Padana and Sardinia that represent epidemiologically interesting territories.