Descrizione del progetto
Gestire la complessa tecnologia dei sensori per la pianificazione della sostenibilità
L’aumento dei disastri naturali, lo sfruttamento incontrollato delle risorse e la crescita demografica hanno dato luogo a un volume abbondantemente più elevato di dati complessi a livello mondiale, rendendo molto difficile una pianificazione mirata e a lungo termine. Il programma MENELAOS_NT della Rete europea di formazione fornirà ricerca e formazione dottorale a giovani ricercatori per identificare e gestire informazioni rilevanti su macro e micro-scala da sensori remoti, monitorare l’ambiente e fornire informazioni fondamentali per le politiche relative alle sfide ambientali. Il programma esporrà inoltre i ricercatori alla natura interdisciplinare dei sistemi multimodali di esplorazione dell’ambiente, il che rappresenta una formazione e conoscenze preziose per l’elaborazione di politiche efficaci in materia di sostenibilità.
Obiettivo
MENELAOS_NT addresses the ever more significant problem of scientifically and technologically sensing and exploring “the world” on micro- and macroscopic scale to provide scientists with deeper insights and better understanding in order to predict and possibly control critical evolutions. This would support decision makers with more sophisticated and reliable information for deciding on sustainable measures. Essentially the project addresses societal key challenges, e.g. sustainable agriculture and forestry, bio-economy, environmental changes, resource efficiency as well as protecting freedom and security of the European society. Covering the complete chain of information generation plays a key role here, and forms a key future market with huge potential, ensuring excellent career perspectives for early stage researchers. The continuously increasing sensitivity and resolution of remote sensing, and the steadily growing range and field of view of short and medium range 2D/3D-sensorics are closing the gap between analyzing unknown scenarios from outside (remote) and from within (in-situ), however, at the cost of increasing data dimensionality and volume (“Big Data”), raising the urgent need of detecting and isolating relevant information from the ubiquitously present noise and disinformation. MENELAOS_NT addresses multi modal – multi sensor fusion to optimally combine the information, delivered by different sensors (in situ/remote, optical/non optical) on different scales, with different resolutions and with different reliability. New and intelligent (Compressive Sensing, Analogue to Information Conversion) approaches will be indispensible for this, hence MENELAOS_NT develops this complex and interdisciplinary field by combining high level scientific research and excellent doctoral training, fostering a new generation of young researchers, familiar with the necessary theoretical framework and at the same time skilful and diverse enough to advance the society.
Campo scientifico
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsignal processingcompressed sensing
- agricultural sciencesagriculture, forestry, and fisheriesagriculturesustainable agriculture
- natural sciencescomputer and information sciencesdata sciencebig data
- engineering and technologyenvironmental engineeringremote sensing
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
Parole chiave
Programma(i)
Argomento(i)
Meccanismo di finanziamento
MSCA-ITN - Marie Skłodowska-Curie Innovative Training Networks (ITN)Coordinatore
57076 Siegen
Germania