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Genzano Nicola

Researcher

Nicola Genzano is a senior researcher at the Department of Architecture, Built Environment, and Construction Engineering at the Politecnico di Milano. His research focuses on the development and validation of remote sensing techniques and methods for land monitoring, natural and environmental risk management, and the study of environmental impacts directly or indirectly related to climate change.Nicola Genzano received the M.S. degrees in Applied Geology from the University of Siena, Siena (Italy), and the PhD degree in Environmental Engineering from the University of Basilicata, Potenza (Italy). In the period 2009-2023, he collaborated as researcher fellow (2009-2012 and 2017-2021) and as junior researcher (2022-2023) with the School of Engineering (until 2012 Department of Engineering and Environmental Physics) of the University of Basilicata in several research activities in the field of satellite remote sensing. During 2015-2016, he has been a researcher fellow at the Graduate School of Science of the Chiba University in Chiba (Japan). Since 2024, he is a senior researcher at the Politecnico di Milano (Department of Architecture, Built environment and Construction Engineering). His research interest is the development of satellite remote sensing techniques for environmental research and applications. In particularly, his research activity is mainly focused on the development of innovative multitemporal approaches, which are based on the analysis of data acquired by satellite sensors in the optical band, for natural and environmental hazard monitoring and their mitigation. He is the author or co-author of tens of publications on international ISI journals, chapters of scientific books and conference proceedings with peer reviewing. He has taken part, actively, in several research program as co-investigator. He also acts as guest editor for some international journals.

Career

Doctorate in Environmental Engineering at University of Basilicata. Master Degree in Applied Geology at University of Siena.

Research

Scientific activity focuses on the development and validation of remote sensing techniques and methods for land monitoring, natural and environmental risk management, and the study of environmental impacts directly or indirectly related to climate change.In particular, research focuses on the development of different satellite data analysis methodologies, the processing and interpretation of Big Data (with a particular focus on georeferenced Earth Observation data), and the implementation of innovative algorithms in dedicated development environments.

Selected Publications

Genzano, N., Colonna, R. (2025). 3D thermal volume mapping to assess the biological and physical characteristics of olive crops using remote sensing and photogrammetric methods. APPLIED GEOMATICS, vol. 18, p. 1- 16, ISSN: 1866-9298, doi: 10.1007/s12518-025-00658-y

Mazzeo, G., Falconieri, A., Filizzola, C., Genzano, N., Pergola, N., Marchese, F., (2025). Wildfire detection and mapping by satellite with an enhanced configuration of the Normalized Hotspot Indices: results from Sentinel-2 and Landsat 8/9 data integration. IEEE Transaction on Geoscience and Remote Sensing, 63, 5606121, doi:10.1109/TGRS.2025.3528641

Marchese, F. & Genzano, N. (2023). Global volcano monitoring through the Normalized Hotspot Indices (NHI) system. Journal of the Geological Society, 180 (1), jgs2022-014.

Satriano, V., Ciancia, E., Filizzola, C., Genzano, N., Lacava, T., Tramutoli, V. (2023). Landslides Detection and Mapping with an Advanced Multi-Temporal Satellite Optical Technique. Remote Sensing 15, 683.

Faruolo, M., Falconieri, A., Genzano, N., Lacava, T., Marchese, F., & Pergola, N. (2022). A daytime multi-sensor satellite system for global gas flaring monitoring. IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-17, 2022, Art no. 5001717, doi: 10.1109/TGRS.2022.3143167

Filizzola, C., Carlucci, M.A., Genzano, N., Ciancia, E., Lisi, M., Pergola, N., Ripullone, F., Tramutoli, V. (2022). Robust Satellite-Based Identification and Monitoring of Forests Having Undergone Climate-Change-Related Stress. Land, 11, 825.

Genzano, N., Filizzola, C., Hattori, K., Pergola, N., Tramutoli, V. (2021). Statistical correlation analysis between thermal infrared anomalies observed from MTSATs and large earthquakes occurred in Japan (2005–2015). Journal of Geophysical Research: Solid Earth, 126, e2020JB020108.

Genzano, N., Marchese, F., Pergola , N. (2020). A Google Earth Engine Tool to Investigate, Map and Monitor Volcanic Thermal Anomalies at Global Scale by Means of Mid-High Spatial Resolution Satellite Data. Remote Sensing, 12(19), 3232.

Filizzola, C., Corrado, R., Falconieri, A., Faruolo, F., Genzano, N., Lisi, M., Mazzeo, G., Paciello, R., Pergola, N., Tramutoli, V. (2017). On the use of temporal vegetation indices in support of eligibility controls for EU aids in agriculture, International Journal of Remote Sensing, vol. 39 (14), pp 4572-4598, doi 10.1080/01431161.2017.1395973

Research projects