COGLIATI SERGIO

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

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

Moncholi-Estornell, A., Cendrero-Mateo, M., Antala, M., Cogliati, S., Moreno, J., Van Wittenberghe, S. (2023). Enhancing Solar-Induced Fluorescence Interpretation: Quantifying Fractional Sunlit Vegetation Cover Using Linear Spectral Unmixing. REMOTE SENSING, 15(17) [10.3390/rs15174274]. Detail

Colombo, R., Pennati, G., Pozzi, G., Garzonio, R., Di Mauro, B., Giardino, C., et al. (2023). Mapping snow density through thermal inertia observations. REMOTE SENSING OF ENVIRONMENT, 284(January 2023) [10.1016/j.rse.2022.113323]. Detail