Giuliano Ramat

Orcid: 0000-0003-4125-1634

According to our database1, Giuliano Ramat authored at least 12 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2024
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., 2024

Integration of Active and Passive Multifrequency Data from AMSR-2 and Cosmo SkyMed for Snow Depth Monitoring at High Resolution in Alpine Environments.
Proceedings of the IGARSS 2024, 2024

Soil and Vegetation Water Status Monitoring by Integrating Optical and Microwave Satellite Data.
Proceedings of the IGARSS 2024, 2024

2023
High Resolution Mapping of Crop Biomass by Combining Sentinel-1 and Cosmo Skymed Through Machine Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Combining the Strong Fluctuation Theory with Rough Soil Models for Improving the Simulation Accuracy of Alpine Snowpacks at C- and X-Bands.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
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., 2022

High Resolution Mapping of Vegetation Biomass and Soil Moisture by Using AMSR2, Sentinel-1 and Machine Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

The Application of COSMO-Skymed Images to Agricultural Management in Central Tunisia.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Multifrequency SAR Data for Estimating Snow, Soil and Vegetation Parameters.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

A Method for Estimating Agricultural Crop Biomass by Using Sar Images at X and C Bands.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Mapping Woody Volume of Mediterranean Forests by Using SAR and Machine Learning: A Case Study in Central Italy.
Remote. Sens., 2021

Crop Classification and Biomass Estimate Using Cosmo-Skymed and Sentinel-1 Data in an Agricultural Test Area in Central Italy.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021


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