The training course aims to deliver the basics related to the acquisition, processing and feature extraction techniques of remotely sensed imageries, paying particular attention to environmental and climate change topics. All these goals will be gained by delivering all the necessary topics related to remote sensing chain, from acquisition to added value information extraction from the data, and ensuring that, from the operational point of view, every single student could be able to process data using standard software and having access to open source satellite imageries and data.

The main aim is to deliver to student the ability to correctly identify environmental challenges and issues, to better understand possible data to be used, its suitability, and data processing chain in order to extract value added information in a common georeferenced system. Students will be trained in: - electromagnetic theory, interactions between electromagnetic energy and atmospheric layers and ground surfaces, visual perception and colorimetry - sensors data acquisition - image processing - information extraction - environmental and climate change related applications. Related to technical communication: - ability to analize complex environmental problems, defining proper data to be used, processing chains, information extraction strategies, achieved results publication and dissemination; - ability to approach different domain of applications using remotely sensed data; - ability to assess results in a fully quantitative way; - ability to set up data processing procedures suitable to approach non conventional applications. Such expertises will be acquired also working directly on application cases drafting also different technical solutions.

Students attending this training course, already know geomatics basics (digital mapping, GPS techniques, surveying) and computer science basics.

Teaching subjects are: - Remote sensing definition - Emissivity theory - Electromagnetic spectra and black bodies - Electromagnetic source and atmospheric interaction - Electromagnetic source and ground surfaces interaction - Visual perception and colorimetry - Digital images and acquisition systems characteristics - Data processing algorithms - Information extraction: digital filters and classifications - Extracted information assessment

The training course is delivered both by theoretical lectures and labs; in the latter, students will use PC to process digital images based on real cases. Every student will access a single PC and will be assisted during all the labs. For the theoretical and labs parts, digital contents will be available since the beginning of the training course and labs will be duplicated based on the number of students attending. Innovative learning will be used, facilitating student’s interaction and organizing a final full day challenge based on the ability to approach a complex environmental issue using open source remotely sensed imageries and mapping data. Reading materials

Specific didactic material will be available, in a digital format, since the beginning of the training course

Modalità di esame: Prova scritta (in aula); Prova orale facoltativa; Prova pratica di laboratorio; Elaborato progettuale in gruppo;

Exam: Written test; Optional oral exam; Practical lab skills test; Group project;

... Evaluation will be based on written and/or oral examinations, both from theoretical and lab parts, and based on the official programme and the lab exercises. Examination could be taken both written and oral; the written examination consists of two different test based on the theoretical and experimental parts. In the first, the candidate should answer to 3 different questions, while in the second, using a PC and a standard software, the candidate will answer to a set of different questions. Results of the examination are then delivered to students by means of didactic portal. Oral examination consists of a set of three questions based on theoretical part and the candidate is then asked to solve, with the usage of a PC and a standard software, a practical exercise.

Gli studenti e le studentesse con disabilità o con Disturbi Specifici di Apprendimento (DSA), oltre alla segnalazione tramite procedura informatizzata, sono invitati a comunicare anche direttamente al/la docente titolare dell'insegnamento, con un preavviso non inferiore ad una settimana dall'avvio della sessione d'esame, gli strumenti compensativi concordati con l'Unità Special Needs, al fine di permettere al/la docente la declinazione più idonea in riferimento alla specifica tipologia di esame.