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]. Detail

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]. Detail

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]. Detail

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]. Detail

Rossini, M., Garzonio, R., Panigada, C., Tagliabue, G., Bramati, G., Vezzoli, G., et al. (2023). Mapping Surface Features of an Alpine Glacier through Multispectral and Thermal Drone Surveys. REMOTE SENSING, 15(13), 1-23 [10.3390/rs15133429]. Detail