Gabriele Candiani received the M.S. degree in environmental engineering in 2002 from the Politecnico di Milano and the Ph.D. degree in information engineering in 2010 from Univeristà degli studi di Brescia.

From 2002 to 2007 he worked for the CNR where his main research topic involved the assessment of water quality parameters from remotely sensed images.

From 2007 to 2010, during his Ph.D. degree at Università degli Studi di Brescia, he worked on data assimilation techniques to merge data coming from both ground stations and satellite sensors into air quality models.

From 2010 to 2012 he worked at Politecnico di Milano where he was involved in anomaly detection studies related to hydrocarbon exploration.

Since 2012 he has been working for the CNR focusing on different research topics: data fusion of satellite images with different spatio-temporal resolutions (SPOT4Take5), analysis of remotely sensed data, mainly hyperspectral, for the interpretation and classification of different land covers (ENI Geosat) as well as the characterization of particles derived from Waste of Electrical and Electronic Equipment (FIDEAS, WEEEReflex).

ORCiD ID: 0000-0001-5270-071X

ResearcherID: F-1443-2010

Scopus Author ID: 35975520500

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