G
Giacomo Fontanelli
Researcher at International Federation of Accountants
Publications - 46
Citations - 794
Giacomo Fontanelli is an academic researcher from International Federation of Accountants. The author has contributed to research in topics: Synthetic aperture radar & Vegetation. The author has an hindex of 12, co-authored 40 publications receiving 576 citations. Previous affiliations of Giacomo Fontanelli include National Research Council.
Papers
More filters
Journal ArticleDOI
Airborne GNSS-R Polarimetric Measurements for Soil Moisture and Above-Ground Biomass Estimation
Alejandro Egido,Simonetta Paloscia,Erwan Motte,Leila Guerriero,Nazzareno Pierdicca,M. Caparrini,Emanuele Santi,Giacomo Fontanelli,Nicola Floury +8 more
TL;DR: It was determined that for low-altitude GNSS-R airborne platforms, the reflectivity polarization ratio provides a highly reliable observable for SMC due to its high stability with respect to surface roughness.
Journal ArticleDOI
Application of artificial neural networks for the soil moisture retrieval from active and passive microwave spaceborne sensors
TL;DR: This technique allowed the retrieval of SMC from both active and passive satellite systems, with accuracy values of about 0.05 m3/m3 ofSMC or better, thus making these applications compliant with the usual accuracy requirements for SMC products from space.
Journal ArticleDOI
The potential of multifrequency SAR images for estimating forest biomass in Mediterranean areas
Emanuele Santi,Simonetta Paloscia,Simone Pettinato,Giacomo Fontanelli,Matteo Mura,Catherine Zolli,Fabio Maselli,Marta Chiesi,Lorenzo Bottai,Gherardo Chirici +9 more
TL;DR: In this article, the authors investigated the use of multi-frequency SAR data from different sensors (ALOS/PALSAR and ENVISAT/ASAR) for estimating forest biomass in two test areas in Central Italy (San Rossore and Molise), where detailed in-situ measurements and Airborne Laser Scanning (ALS) data were available.
Journal ArticleDOI
Sensitivity analysis of X-band SAR to wheat and barley leaf area index in the Merguellil Basin
TL;DR: In this paper, a clear sensitivity of the backscattering coefficient measured by both sensors to the leaf area index (LAI) of green plants of wheat and barley (at both HH and VV polarizations) was observed, and it did not seem to be greatly affected by the variations in soil moisture, even in HH polarization.
Journal ArticleDOI
In-Season Mapping of Crop Type with Optical and X-Band SAR Data: A Classification Tree Approach Using Synoptic Seasonal Features
TL;DR: The work focuses on developing a classification tree approach for in-season crop mapping during early summer, by integrating optical and X-band SAR data acquired over a test site in Northern Italy, achieving overall accuracy greater than 86%.