| Exploring the use of multi-source high-resolution satellite data for snow water equivalent reconstruction over mountainous catchments V Premier, C Marin, G Bertoldi, R Barella, C Notarnicola, L Bruzzone The Cryosphere 17 (6), 2387-2407, 2023 | 12 | 2023 |
| A novel approach to high resolution snow cover fraction retrieval in mountainous regions R Barella, C Marin, M Gianinetto, C Notarnicola IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 8 | 2022 |
| Combined use of Sentinel-1 and Sentinel-2 for glacier mapping: An application over central east Alps R Barella, M Callegari, C Marin, C Klug, R Sailer, SP Galos, R Dinale, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 7 | 2022 |
| Multi-spectral analysis of dry alpine seasonal snowpack M Lodigiani, L Silvestri, R Barella, C Marin, B Di Mauro, R Colombo, ... 2022 52nd European Microwave Conference (EuMC), 76-79, 2022 | 5 | 2022 |
| Automatic glacier outlines extraction from Sentinel-1 and Sentinel-2 time series R Barella, M Callegari, C Marin, C Klug, S Galos, R Sailer, S Benetton, ... EGU General Assembly 2020, 2020 | 5 | 2020 |
| Monitoring wet snow with a dual-receiver radar architecture: Preliminary experimental results M Lodigiani, L Silvestri, R Barella, C Marin, M Pasian 2023 17th European Conference on Antennas and Propagation (EuCAP), 1-4, 2023 | 4 | 2023 |
| Monitoring of snow water equivalent and snowmelt through space-borne synthetic aperture radar techniques S Pettinato, F Bovenga, E Santi, S Paloscia, F Baroni, A Belmonte, ... 2022 52nd European Microwave Conference (EuMC), 91-94, 2022 | 3 | 2022 |
| Unlocking the potential of melting calorimetry: a field protocol for liquid water content measurement in snow R Barella, M Bavay, F Carletti, N Ciapponi, V Premier, C Marin The Cryosphere 18 (11), 5323-5345, 2024 | 1 | 2024 |
| Multisensor Validation of Snow Albedo and Grain Size Retrieval in Mountain Areas C Notarnicola, B Santos, R Barella, M Claus, E Cremonese, ... IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium …, 2024 | 1 | 2024 |
| Two datasets over South Tyrol and Tyrol areas to understand and characterize water resource dynamics in mountain regions L De Gregorio, G Cuozzo, R Barella, F Corvalán, F Greifeneder, P Grosse, ... Data 9 (11), 136, 2024 | | 2024 |
| Product User Guide R Barella, C Mortimer, C Marin, G Schwaizer, N Mölg, T Nagler, ... | | 2024 |
| A practical field protocol for quantifying snow liquid water content based on melting calorimeter R Barella, C Marin, N Ciapponi, F Carletti, V Premier, M Bavay SnowHydro 2024, 2024 | | 2024 |
| Snow Water Equivalent Dataset for the South Fork of the San Joaquin River (2018/2021) and Senales (2019/2021) V Premier, C Marin, G Bertoldi, R Barella, C Notarnicola, L Bruzzone | | 2023 |
| On the Use of High-Resolution Remote Sensing Products to Generate SWE Maps V Premier, C Marin, G Bertoldi, R Barella, C Notarnicola EARSeL Symposium, 2023 | | 2023 |
| On the exploitation of high-resolution satellite imagery and machine learning techniques for snow and soil parameter retrieval G Cuozzo, R Barella, FM Corvalan, L De Gregorio, F Greifeneder, ... ACR_Water (Assimilating Cosmic-Ray Neutron and Remote Sensing Data for …, 2023 | | 2023 |
| The AlpSnow Project–Development of Innovative Methods and Products for Monitoring Physical Parameters of the Seasonal Snow Pack in the Alps T Nagler, G Schwaizer, R Barella, JL Bueso-Bello, E Cremonese, ... ESA Living Planet Symposium 2022, 2022 | | 2022 |
| A novel statistical learning approach to high resolution snow cover fraction retrieval in mountainous regions R Barella, C Marin, C Notarnicola International Symposium on Snow Davos, Switzerland, 25–30 September 2022 …, 2022 | | 2022 |
| A historical reanalysis of SWE time-series: towards a near real-time reconstruction V Premier, C Marin, G Bertoldi, R Barella, C Notarnicola International Symposium on Snow 2022, 2022 | | 2022 |
| Monitoring alpine cryosphere with earth observation data R BARELLA | | 2021 |
| Machine Learning in Earth Observation: examples from the daily work at the Institute for Earth Observation A Jacob, A Bertone, R Barella, M Callegari, G Cuozzo, L De Gregorio, ... Davinci: Know How Transfer Event Artificial Intelligence/Machine Learning …, 2019 | | 2019 |
