Fondazione Amaldi organises free multispectral and hyperspectral training courses

Join the E. Amaldi Foundation (Fondazione Amaldi), ambassadors of the ESA Business Applications Italy and InCubed Programmes, for a series of free training courses focussing on multispectral and hyperspectral imaging and data. 

The E. Amaldi Foundation was created in 2017 by the Italian Space Agency and the Hypatia Research Consortium to propose a new way of interpreting applied research and technology transfer.

This free series of training courses is aimed at experts, entrepreneurs, researchers and anyone interested in discovering how Earth Observation (EO) satellite data works.

Artificial Intelligence (AI) was the focus of the first virtual training course which took place on 14-15 January 2021. The two day course started with an overview of ESA Business Applications in Italy and the opportunities presented by the InCubed programme. Participants then learnt about the role of AI in multispectral and hyperspectral imaging.

The second free two day training course will focus on the analysis of multispectral and hyperspectral data, taking place on 25-26 February 2021. Participants will learn about basic multispectral and hyperspectral data processing on day one, and advanced processing on day two. During the course, the Italian Ambassadorial Platform (AP-IT) will present the main funding opportunities of ESA’s InCubed programme and Business Applications. Find out more and register here.

Big data analytics applied to multispectral and hyperspectral images will be the focus of the third free training course on 25-26 March 2021. On day one, participants will be introduced to big data and how it is applied to EO. The series will finish on day two with sessions on data mining techniques. Funding opportunities for ESA’s InCubed programme and Business Applications will also be presented. Find out more and register here.

When: 25-26 February and 25-26 March 2021

Where: Online

 To know more, see the full programme and register: Analysis of multispectral and hyperspectral data & Big data analytics applied to multispectral and hyperspectral images