COGLIATI SERGIO

Kukkurainen, A., Lipponen, A., Kolehmainen, V., Arola, A., Cogliati, S., Sabater, N. (2025). SIFFI: Bayesian solar-induced fluorescence retrieval algorithm for remote sensing of vegetation. REMOTE SENSING OF ENVIRONMENT, 318(1 March 2025) [10.1016/j.rse.2024.114558]. Dettaglio

Antala, M., Rastogi, A., Cogliati, S., Stróżecki, M., Colombo, R., Juszczak, R. (2024). Sun-induced fluorescence spectrum as a tool for assessing peatland vegetation productivity in the framework of warming and reduced precipitation experiment. REMOTE SENSING OF ENVIRONMENT, 301(1 February 2024) [10.1016/j.rse.2023.113921]. Dettaglio

Di Mauro, B., Cogliati, S., Bohn, N., Traversa, G., Garzonio, R., Tagliabue, G., et al. (2024). Evaluation of PRISMA Products Over Snow in the Alps and Antarctica. EARTH AND SPACE SCIENCE, 11(7) [10.1029/2023ea003482]. Dettaglio

Tuzzi, L., Busi, I., Garzonio, R., Cotrozzi, L., Risoli, S., Quaratiello, G., et al. (2023). Detection of Fusarium Head Blight of Wheat from hyperspectral images. In 2023 IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2023 - Proceedings (pp.516-520). IEEE [10.1109/MetroAgriFor58484.2023.10424270]. Dettaglio

Scodellaro, R., Cesana, I., D’Alfonso, L., Bouzin, M., Collini, M., Miglietta, F., et al. (2023). i-φ-MaLe: A novel hybrid machine learning phasor-based approach to retrieve a full-set of solar-induced fluorescence metrics and biophysical parameters. IL NUOVO CIMENTO C, 46(5) [10.1393/ncc/i2023-23146-2]. Dettaglio