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Actual position:
PhD Student in Engineering for energy and environment at the University of Tuscia (Viterbo, Italy), since November 2022
Project:
PRIN2020 - "Eye Land: a crowd-sensing geospatial database for monitoring of rural areas" - Prot. 2020EMLWTN
Short BIO:
Gabriele Delogu is a Ph.D. student in Engineering for energy and environment at the University of Tuscia (Viterbo, Italy), since November 2022.
He contributes to the research in rural and urban planning using satellite data analysis: in particular, his main research goals include combining remote sensing and proximal sensing data for land cover classification.
The general objective of his research is to use remote sensing data to obtain land cover maps in order to analyze the possible effects and consequences of climate change, in particular on vegetation. To obtain these maps and to calculate vegetation indices, satellite data from Sentinel and PRISMA (Italian hyperspectral mission) are used. The classification of the data is based on deep learning approaches, using also data collected through “crowd sensing” (citizen science). The idea is to exploit the potential involvement of experienced and less experienced volunteer user groups, including ordinary citizens, for the collection of ground reference data used as training samples.
After obtaining a bachelor’s degree with honours from La Sapienza University of Rome in Urban Planning and Geographic Information Systems in 2017 and a master’s degree with honours from Federico II University of Naples in 2020, he worked in the renewable energy field until 2022, conducting Environmental Impact Assessments.
Since October 2022, he has been helping lecturer Prof. L. Boccia with the Remote Sensing course of the Master of Urban and Territorial Planning of the Department of Architecture at the Federico II University of Naples.
Research: