Giacomo Fontanelli
Orcid: 0000-0002-3790-8288
According to our database1,
Giacomo Fontanelli
authored at least 35 papers
between 2010 and 2023.
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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
Assessing Interactions Between Crop Biophysical Parameters and X-Band Backscattering Using Empirical Data and Model Sensitivity Analysis.
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
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
A Multi-Stage model based on YOLOv3 for defect detection in PV panels based on IR and Visible Imaging by Unmanned Aerial Vehicle.
CoRR, 2021
Neural Network Integration of SMAP and Sentinel-1 for Estimating Soil Moisture at High Spatial Resolution.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 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
2020
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
Remote. Sens., 2020
Comparison of Machine Learning Methods Applied to SAR Images for Forest Classification in Mediterranean Areas.
Remote. Sens., 2020
Lowland Rice Mapping in Sédhiou Region (Senegal) Using Sentinel 1 and Sentinel 2 Data and Random Forest.
Remote. Sens., 2020
Application of Deep Learning to Optical and SAR Images for the Classification of Agricultural Areas in Italy.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
A merged SMAP - Sentinel-1 soil moisture product using Artificial Neural Networks: a case study in Central Italy.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Forest Biomass Estimate on Local and Global Scales Through GNSS Reflectometry Techniques.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2016
Application of artificial neural networks for the soil moisture retrieval from active and passive microwave spaceborne sensors.
Int. J. Appl. Earth Obs. Geoinformation, 2016
2015
In-Season Mapping of Crop Type with Optical and X-Band SAR Data: A Classification Tree Approach Using Synoptic Seasonal Features.
Remote. Sens., 2015
Integration of multi-seasonal Landsat 8 and TerraSAR-X data for urban mapping: An assessment.
Proceedings of the Joint Urban Remote Sensing Event, 2015
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
2014
The Sensitivity of Cosmo-SkyMed Backscatter to Agricultural Crop Type and Vegetation Parameters.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014
Airborne GNSS-R Polarimetric Measurements for Soil Moisture and Above-Ground Biomass Estimation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014
Proceedings of the Real-Time Image and Video Processing 2014, 2014
Agricultural crop mapping using optical and SAR multi-temporal seasonal data: A case study in Lombardy region, Italy.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
2013
The Intercomparison of X-Band SAR Images from COSMO-SkyMed and TerraSAR-X Satellites: Case Studies.
Remote. Sens., 2013
GNSS-R sensor sensitivity to soil moisture and vegetation biomass and comparison with SAR data performance.
Proceedings of the SAR Image Analysis, 2013
Grass: AN experiment on the capability of airborne GNSS-R sensors in sensing soil moisture and vegetation biomass.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
Electromagnetic simulation and validation of backscattering from boreal forest in the C-Ku frequency range.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
2012
Monitoring of snow cover on Italian Alps using AMSR-E and Artificial Neural Networks.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
2011
The potential of multi-temporal Cosmo-Skymed SAR images in monitoring soil and vegetation.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
2010
Evaluation of vegetation effect on the retrieval of snow parameters from backscattering measurements: A contribution to CoReH2O mission.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010