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Nazzareno Pierdicca

Researcher at Sapienza University of Rome

Publications -  329
Citations -  5146

Nazzareno Pierdicca is an academic researcher from Sapienza University of Rome. The author has contributed to research in topics: Synthetic aperture radar & Radar. The author has an hindex of 32, co-authored 312 publications receiving 4153 citations. Previous affiliations of Nazzareno Pierdicca include Roma Tre University.

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Flood monitoring using multi-temporal COSMO-SkyMed data: Image segmentation and signature interpretation

TL;DR: This investigation demonstrates the feasibility and the utility of a combined use of an electromagnetic scattering model and an advanced image processing technique for inundation monitoring.
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An algorithm for operational flood mapping from Synthetic Aperture Radar (SAR) data using fuzzy logic

TL;DR: An algorithm developed to map flooded areas from synthetic aperture radar imagery is presented and is conceived to be inserted in the operational flood management system of the Italian Civil Protection and can be used in an almost automatic mode or in an interactive mode, depending on the user's needs.
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Satellite radar and optical remote sensing for earthquake damage detection: results from different case studies

TL;DR: In this paper, the capability of remote sensing techniques for damage detection in urban areas and to explore the combined use of radar (SAR) and optical satellite data was analyzed, in particular when the epicentre of the earthquake is located in remote regions or the main communication systems are damaged.
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Airborne GNSS-R Polarimetric Measurements for Soil Moisture and Above-Ground Biomass Estimation

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.
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Use of SAR Data for Detecting Floodwater in Urban and Agricultural Areas: The Role of the Interferometric Coherence

TL;DR: The role of the interferometric coherence in complementing intensity SAR data for mapping floods in agricultural and urban environments is analyzed and results show that the analysis of the multitemporal trend of the coherence is useful for the interpretation of SAR data.