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Giuliano Ramat

Observed names: G. Ramat, Ramat, Giuliano, giuliano Ramat
ORCID: 0000-0003-4125-1634
Observed ORCID: 0000-0003-4125-1634
OpenAlex ID: A5039817795
Early-Season Crop Mapping on an Agricultural Area in Italy Using X-Band Dual-Polarization SAR Satellite Data and Convolutional Neural Networks
2022 · Giacomo Fontanelli, Alessandro Lapini, et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 39
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Remote sensing techniques for water management and climate change monitoring in drought areas: case studies in Egypt and Tunisia
2023 · Giuliano Ramat, Emanuele Santi, et al. · European Journal of Remote Sensing · 21
Mapping Woody Volume of Mediterranean Forests by Using SAR and Machine Learning: A Case Study in Central Italy
2021 · Emanuele Santi, Marta Chiesi, et al. · Remote Sensing · 6
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Integration of Optical and Microwave Satellite Data for Monitoring Vegetation Status in Sorghum Fields
2025 · Simone Pilia, Giacomo Fontanelli, et al. · Remote Sensing · 3
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Data integration of Sentinel-1 and Sentinel-2 for evaluating vegetation biomass and water status
2023 · S. Pilia, G. Fontanelli, et al. · IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor) · 3
Eranet-Med Optimed-Water Project: Results On Soil Moisture Maps Of Semi-Arid Environment By Using Optical/Microwave Satellite Data
2020 · S. Paloscia, G. Fontanelli, et al. · IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS) · 3
Soil and Vegetation Water Status Monitoring by Integrating Optical and Microwave Satellite Data
2024 · Simone Pilia, Fabrizio Baroni, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 2
High-Resolution Mapping of Soil Moisture by AMSR2 Data Disaggregation Based on Sentinel-1 and Machine Learning
2024 · Emanuele Santi, Fabrizio Baroni, et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2
High Resolution Mapping of Vegetation Biomass and Soil Moisture by Using AMSR2, Sentinel-1 and Machine Learning
2022 · E. Santi, F. Baroni, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 2
Soil moisture mapping at high resolution by merging SMAP, Sentinel1 and COSMO SkyMed with the support of machine learning
2021 · Emanuele Santi, Fabrizio Baroni, et al. · Microwave Remote Sensing: Data Processing and Applications · 2
Crop Classification and Biomass Estimate Using Cosmo-Skymed and Sentinel-1 Data in an Agricultural Test Area in Central Italy
2021 · A. Lapini, G. Fontanelli, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 2
Integration of Strong Fluctuation Theory With Rough Soil Models for Improving Snow Backscattering Simulations
2024 · Fabrizio Baroni, Simone Pettinato, et al. · IEEE Transactions on Geoscience and Remote Sensing · 1
Mapping of olive trees using Sentinel-2 and Sentinel-1 images: an evaluation of pixel-based analyses
2023 · G. Ramat, G. Fontanelli, et al. · IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor) · 1
Combining the Strong Fluctuation Theory with Rough Soil Models for Improving the Simulation Accuracy of Alpine Snowpacks at C- and X-Bands
2023 · F. Baroni, S. Pettinato, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 1
A Method for Estimating Agricultural Crop Biomass by Using Sar Images at X and C Bands
2022 · S. Paloscia, E. Santi, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 1
Multifrequency SAR Data for Estimating Snow, Soil and Vegetation Parameters
2022 · S. Paloscia, E. Santi, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 1
Analysis of the Cork Forest of Ben Slimane (Morocco) Using Multi Temporal Images
2003 · L. Ongaro, G. Ramat · Forestry sciences · 1
High resolution snow depth mapping in Alpine environments based on active and passive microwave data integration: a machine learning approach
2024 · Emanuele Santi, Simone Pettinato, et al. · Microwave Remote Sensing: Data Processing and Applications
Author response for "Integration of Strong Fluctuation Theory With Rough Soil Models for Improving Snow Backscattering Simulations"
2024 · Baroni, Fabrizio, Pettinato, Simone, et al. · Publons reviews and discussion
Integration of Active and Passive Multifrequency Data from AMSR-2 and Cosmo SkyMed for Snow Depth Monitoring at High Resolution in Alpine Environments
2024 · Emanuele Santi, Simone Pettinato, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
AMSR-2 and COSMO-SkyMed data integration for estimating snow depth at high resolution in Italian Alps
2024 · Simonetta Paloscia, Emanuele Santi, et al. · URSI Atlantic Radio Science Conference
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Assessing the vegetation water status by using multispectral and SAR data combination
2024 · Simonetta Paloscia, Simone Pilia, et al. · URSI Atlantic Radio Science Conference
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Remote sensing techniques for soil humidity monitoring in drought areas: case study of the Wadi Hallouf/Oum Zessar watershed (Tunisia)
2023 · A. Hachani, G. Ramat, et al. · IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)
High Resolution Mapping of Crop Biomass by Combining Sentinel-1 and Cosmo Skymed Through Machine Learning
2023 · Emanuele Santi, Simonetta Paloscia, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
A reappraisal of the Strong Fluctuation Theory in combination with rough soil models to improve the simulation accuracy in alpine snowpacks at C- and X-band
2023 · Fabrizio Baroni, Simone Pettinato, et al. · URSI General Assembly and Scientific Symposium
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Works count: 28
Citation count: 91
H-index: 3
I10-index: 2
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