AI4EOCC — METHODOLOGIES FOR THE AUTOMATIC GENERATION OF GEOINFORMATIVE DATABASES AND TRAINING OF ARTIFICIAL INTELLIGENCE ALGORITHMS (AI) APPLIED TO SATELLITE EARTH OBSERVATION (EO) AND CLIMATE CHANGE ANALYSIS (CC)

AI4EOCC ÃŠ RESEARCH AIMED AT THE DEFINITION OF AUTOMATED METHODOLOGIES AND PROCEDURES FOR THE DEFINITION OF TRAINING DATABASES FOR ARTIFICIAL INTELLIGENCE APPLICATIONS (AI, ARTIFICIAL INTELLIGENCE) WITH SUPERVISED ALGORITHMS. IN THE FIELD OF GEO-INFORMATION (GI) AND IN PARTICULAR IN EARTH OBSERVATION (EO) APPLICATIONS AND CLIMATE CHANGE ANALYSIS (CC), THE LACK OF STRUCTURED, UNIFORM AND SCALABLE DATA OFTEN LIMITS THE DEVELOPMENT OF NEW APPLICATIONS.THE WORK INVOLVES THE DEVELOPMENT OF INNOVATIVE METHODS FOR AGGREGATING HETEROGENEOUS SATELLITE DATA AND THE AUTOMATIC CREATION OF DATABASES FOR THE TRAINING OF AI ALGORITHMS AIMED AT SOLVING PROBLEMS IN THE FIELDS OF EO AND CC, ACCORDING TO 5 PHASES: 1) PREPARATION ACTIVITIES FOR THE EXECUTION OF EXPERIMENTAL WORK, 2) DESIGN AND DEVELOPMENT OF A FRAMEWORK FOR SEAMLESS AGGREGATION AND ACCESS TO HETEROGENEOUS GEOSPATIAL BIG DATA, 3) DEVELOPMENT OF INNOVATIVE TECHNIQUES

AI4EOCC — METHODOLOGIES FOR THE AUTOMATIC GENERATION OF GEOINFORMATIVE DATABASES AND TRAINING OF ARTIFICIAL INTELLIGENCE ALGORITHMS (AI) APPLIED TO SATELLITE EARTH OBSERVATION (EO) AND CLIMATE CHANGE ANALYSIS (CC)

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