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Fabrizio Baroni
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2020 – today
- 2024
- [j3]Emanuele Santi
, Fabrizio Baroni
High-Resolution Mapping of Soil Moisture by AMSR2 Data Disaggregation Based on Sentinel-1 and Machine Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 15077-15088 (2024) - [c12]Emanuele Santi, Simone Pettinato, Simonetta Paloscia, Simone Pilia, Fabrizio Baroni, Giuliano Ramat:
Integration of Active and Passive Multifrequency Data from AMSR-2 and Cosmo SkyMed for Snow Depth Monitoring at High Resolution in Alpine Environments. IGARSS 2024: 631-634 - [c11]Simone Pilia, Fabrizio Baroni, Giacomo Fontanelli, Giuliano Ramat, Enrico Palchetti, Simonetta Paloscia, Simone Pettinato, Emanuele Santi, Leonardo Santurri:
Soil and Vegetation Water Status Monitoring by Integrating Optical and Microwave Satellite Data. IGARSS 2024: 1470-1473 - [c10]Emanuele Santi, Simonetta Paloscia, Simone Pettinato, Fabrizio Baroni, Simone Pilia, Roberto Colombo, Claudia Ravasio, Biagio Di Mauro:
Machine Learning Algorithms Assessment for Snow LWC Retrieval from SAR Data. IGARSS 2024: 1657-1660 - 2023
- [c9]Fabrizio Baroni
Combining the Strong Fluctuation Theory with Rough Soil Models for Improving the Simulation Accuracy of Alpine Snowpacks at C- and X-Bands. IGARSS 2023: 9-12 - [c8]Emanuele Santi, Simonetta Paloscia, Simone Pettinato, Alessandro Lapini, Giacomo Fontanelli, Fabrizio Baroni
High Resolution Mapping of Crop Biomass by Combining Sentinel-1 and Cosmo Skymed Through Machine Learning. IGARSS 2023: 1501-1504 - [c7]Simone Pettinato, Emanuele Santi, Simonetta Paloscia, Fabrizio Baroni
Multi-Frequency SAR Images for Investigations of the Cryosphere: Preliminary Results of Criosar Project. IGARSS 2023: 1585-1588 - 2022
- [j2]Giacomo Fontanelli
Early-Season Crop Mapping on an Agricultural Area in Italy Using X-Band Dual-Polarization SAR Satellite Data and Convolutional Neural Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 6789-6803 (2022) - [j1]Simone Pilia
On the Relationship Between Stickiness in DMRT Theory and Physical Parameters of Snowpack: Theoretical Formulation and Experimental Validation With SNOWPACK Snow Model and X-Band SAR Data. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [c6]Simone Pettinato, Giuliano Ramat, N. Souissi, Fabrizio Baroni
The Application of COSMO-Skymed Images to Agricultural Management in Central Tunisia. IGARSS 2022: 4747-4749 - [c5]Emanuele Santi
High Resolution Mapping of Vegetation Biomass and Soil Moisture by Using AMSR2, Sentinel-1 and Machine Learning. IGARSS 2022: 4943-4946 - [c4]Simonetta Paloscia, Emanuele Santi
A Method for Estimating Agricultural Crop Biomass by Using Sar Images at X and C Bands. IGARSS 2022: 4947-4950 - [c3]Simonetta Paloscia, Emanuele Santi
Multifrequency SAR Data for Estimating Snow, Soil and Vegetation Parameters. IGARSS 2022: 5180-5183 - 2021
- [c2]Fabrizio Baroni
Integration of DMRT and SNOWPACK Models for Simulating Backscattering and Comparison with COSMO-SkyMed Data. IGARSS 2021: 5477-5480 - [c1]Alessandro Lapini
Crop Classification and Biomass Estimate Using Cosmo-Skymed and Sentinel-1 Data in an Agricultural Test Area in Central Italy. IGARSS 2021: 5933-5936
Coauthor Index
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