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Giacomo Fontanelli
Observed names:
FONTANELLI, GIACOMO,
Fontanelli, Giacomo,
G. Fontanelli
Institution:
Nello Carrara Institute of Applied Physics
Observed institutions:
Rothamsted Research,
Nello Carrara Institute of Applied Physics,
Istituto per il Rilevamento Elettromagnetico dell'Ambiente,
National Research Council,
University of Florence
ORCID:
0000-0002-3790-8288
Observed ORCID:
0000-0002-3790-8288
OpenAlex ID:
A5055713376
Airborne GNSS-R Polarimetric Measurements for Soil Moisture and Above-Ground Biomass Estimation
2014
·
Alejandro Egido
, Simonetta Paloscia
, et al.
·
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
·
199
A multi-stage model based on YOLOv3 for defect detection in PV panels based on IR and visible imaging by unmanned aerial vehicle
2022
·
Antonio Di Tommaso
, Alessandro Betti
, et al.
·
Renewable Energy
·
186
PDF
Application of artificial neural networks for the soil moisture retrieval from active and passive microwave spaceborne sensors
2015
·
Emanuele Santi
, Simonetta Paloscia
, et al.
·
International Journal of Applied Earth Observation and Geoinformation
·
146
The potential of multifrequency SAR images for estimating forest biomass in Mediterranean areas
2017
·
Emanuele Santi
, Simonetta Paloscia
, et al.
·
Remote Sensing of Environment
·
126
In-Season Mapping of Crop Type with Optical and X-Band SAR Data: A Classification Tree Approach Using Synoptic Seasonal Features
2015
·
Paolo Villa
, Daniela Stroppiana
, et al.
·
Remote Sensing
·
88
PDF
Sensitivity analysis of X-band SAR to wheat and barley leaf area index in the Merguellil Basin
2013
·
Giacomo Fontanelli
, Simonetta Paloscia
, et al.
·
Remote Sensing Letters
·
79
Remote Sensing of Forest Biomass Using GNSS Reflectometry
2020
·
Emanuele Santi
, Simonetta Paloscia
, et al.
·
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
·
75
PDF
Comparison of Machine Learning Methods Applied to SAR Images for Forest Classification in Mediterranean Areas
2020
·
Alessandro Lapini
, Simone Pettinato
, et al.
·
Remote Sensing
·
57
PDF
Lowland Rice Mapping in Sédhiou Region (Senegal) Using Sentinel 1 and Sentinel 2 Data and Random Forest
2020
·
Edoardo Fiorillo
, Edmondo Di Giuseppe
, et al.
·
Remote Sensing
·
55
PDF
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
·
41
PDF
The Intercomparison of X-Band SAR Images from COSMO‑SkyMed and TerraSAR-X Satellites: Case Studies
2013
·
Simone Pettinato
, Emanuele Santi
, et al.
·
Remote Sensing
·
40
PDF
The Sensitivity of Cosmo-SkyMed Backscatter to Agricultural Crop Type and Vegetation Parameters
2014
·
Simonetta Paloscia
, Emanuele Santi
, et al.
·
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
·
34
Biomass retrieval based on genetic algorithm feature selection and support vector regression in Alpine grassland using ground-based hyperspectral and Sentinel-1 SAR data
2021
·
Eugenia Chiarito
, Francesca Cigna
, et al.
·
European Journal of Remote Sensing
·
32
PDF
In-season early mapping of rice area and flooding dynamics from optical and SAR satellite data
2019
·
D. Stroppiana
, Mirco Boschetti
, et al.
·
European Journal of Remote Sensing
·
32
PDF
Deriving Wheat Crop Productivity Indicators Using Sentinel-1 Time Series
2020
·
Nikolaos-Christos Vavlas
, Toby W. Waine
, et al.
·
Remote Sensing
·
30
PDF
Agricultural crop mapping using optical and SAR multi-temporal seasonal data: A case study in Lombardy region, Italy
2014
·
G. Fontanelli
, A. Crema
, et al.
·
IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
·
29
Monitoring of Alpine snow using satellite radiometers and artificial neural networks
2014
·
E. Santi
, S. Pettinato
, et al.
·
Remote Sensing of Environment
·
27
Effect of forests on the retrieval of snow parameters from backscatter measurements
2012
·
Giovanni Macelloni
, Marco Brogioni
, et al.
·
European Journal of Remote Sensing
·
25
PDF
Google Earth Engine: Application Of Algorithms For Remote Sensing Of Crops In Tuscany (Italy)
2020
·
J. P. Clemente
, G. Fontanelli
, et al.
·
IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS)
·
22
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
The retrieval and monitoring of vegetation parameters from COSMO-SkyMed images
2012
·
E. Santi
, G. Fontanelli
, et al.
·
IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
·
18
Development Of Algorithms For The Estimation Of Hydrological Parameters Combining Cosmo-Skymed And Sentinel Time Series With In Situ Measurements
2020
·
Deodato Tapete
, Francesca Cigna
, et al.
·
IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS)
·
15
Forest Biomass Estimate on Local and Global Scales Through GNSS Reflectometry Techniques
2019
·
E. Santi
, S. Paloscia
, et al.
·
IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
·
14
Application of Deep Learning to Optical and SAR Images for the Classification of Agricultural Areas in Italy
2020
·
Alessandro Lapini
, Giacomo Fontanelli
, et al.
·
IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
·
13
HydroCosmo: The Monitoring of Hydrological Parameters on Agricultural Areas by using Cosmo-SkyMed Images
2013
·
Giacomo Fontanelli
, Simonetta Paloscia
, et al.
·
European Journal of Remote Sensing
·
12
PDF
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Works count:
88
Citation count:
1,527
H-index:
20
I10-index:
28
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