Simone Pilia

Orcid: 0000-0001-9773-9298

According to our database1, Simone Pilia authored at least 11 papers between 2021 and 2023.

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

Timeline

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Bibliography

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
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., 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
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

Integration of DMRT and SNOWPACK Models for Simulating Backscattering and Comparison with COSMO-SkyMed Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021


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