D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Environmental Sciences D-index 31 Citations 4,320 223 World Ranking 6564 National Ranking 103

Overview

What is he best known for?

The fields of study he is best known for:

  • Optics
  • Remote sensing
  • Meteorology

Remote sensing, Synthetic aperture radar, Flood myth, Meteorology and GNSS applications are his primary areas of study. Remote sensing is closely attributed to Bistatic radar in his research. His Synthetic aperture radar research includes elements of Image segmentation, Radar imaging, Bayesian probability, Backscatter and Algorithm.

His work investigates the relationship between Flood myth and topics such as Image processing that intersect with problems in Data science and Weather radar. The various areas that Nazzareno Pierdicca examines in his Meteorology study include Radiometry, Soil water and Nadir. His study explores the link between GNSS applications and topics such as Polarimetry that cross with problems in Remote sensing application and Ground truth.

His most cited work include:

  • Flood monitoring using multi-temporal COSMO-SkyMed data: Image segmentation and signature interpretation (154 citations)
  • An algorithm for operational flood mapping from Synthetic Aperture Radar (SAR) data using fuzzy logic (150 citations)
  • Satellite radar and optical remote sensing for earthquake damage detection: results from different case studies (149 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Remote sensing, Synthetic aperture radar, Meteorology, Water content and Radiometer. His Remote sensing research includes themes of GNSS applications, Flood myth and Radar imaging. His Synthetic aperture radar research is multidisciplinary, relying on both Image resolution, Digital elevation model, Backscatter and Interferometry.

His Meteorology research incorporates themes from Radiative transfer and Brightness temperature. His biological study spans a wide range of topics, including Moisture, Soil science, Collocation and L band. Nazzareno Pierdicca has researched Radiometer in several fields, including Scatterometer and Brightness.

He most often published in these fields:

  • Remote sensing (79.30%)
  • Synthetic aperture radar (30.03%)
  • Meteorology (26.82%)

What were the highlights of his more recent work (between 2017-2021)?

  • Remote sensing (79.30%)
  • GNSS applications (10.20%)
  • Water content (16.33%)

In recent papers he was focusing on the following fields of study:

His primary areas of study are Remote sensing, GNSS applications, Water content, Synthetic aperture radar and GNSS reflectometry. His work in the fields of Remote sensing, such as Interferometric synthetic aperture radar, overlaps with other areas such as Reflectometry. His GNSS applications study integrates concerns from other disciplines, such as Wavelength, Meteorology and Synthetic data.

His Water content study also includes fields such as

  • Inversion and related Change detection and Sky,
  • Scale which connect with Tropical cyclone and Ancillary data. His research integrates issues of Image resolution, Geosynchronous orbit, Temporal resolution, Perspective and Troposphere in his study of Synthetic aperture radar. The concepts of his Interferometry study are interwoven with issues in Snow, Flood myth and Ka band.

Between 2017 and 2021, his most popular works were:

  • Sentinel-1 InSAR Coherence to Detect Floodwater in Urban Areas: Houston and Hurricane Harvey as A Test Case (52 citations)
  • GNSS Transpolar Earth Reflectometry exploriNg System (G-TERN): Mission Concept (35 citations)
  • Analysis of CYGNSS Data for Soil Moisture Retrieval (30 citations)

In his most recent research, the most cited papers focused on:

  • Optics
  • Remote sensing
  • Meteorology

Nazzareno Pierdicca spends much of his time researching Remote sensing, Water content, GNSS reflectometry, GNSS applications and Bistatic radar. His biological study focuses on Synthetic aperture radar. His studies deal with areas such as Ocean observations, Flood myth, Flood mapping and High spatial resolution as well as Synthetic aperture radar.

Synthetic data and Ancillary data is closely connected to Scale in his research, which is encompassed under the umbrella topic of Water content. His study ties his expertise on Meteorology together with the subject of GNSS applications. His Bistatic radar research focuses on Scattering and how it relates to Radiation pattern and Wind speed.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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

L. Pulvirenti;M. Chini;N. Pierdicca;L. Guerriero.
Remote Sensing of Environment (2011)

236 Citations

An algorithm for operational flood mapping from Synthetic Aperture Radar (SAR) data using fuzzy logic

L. Pulvirenti;N. Pierdicca;M. Chini;L. Guerriero.
Natural Hazards and Earth System Sciences (2011)

221 Citations

Satellite radar and optical remote sensing for earthquake damage detection: results from different case studies

S. Stramondo;C. Bignami;M. Chini;N. Pierdicca.
International Journal of Remote Sensing (2006)

216 Citations

Exploiting SAR and VHR Optical Images to Quantify Damage Caused by the 2003 Bam Earthquake

M. Chini;N. Pierdicca;W.J. Emery.
IEEE Transactions on Geoscience and Remote Sensing (2009)

146 Citations

Airborne GNSS-R Polarimetric Measurements for Soil Moisture and Above-Ground Biomass Estimation

Alejandro Egido;Simonetta Paloscia;Erwan Motte;Leila Guerriero.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2014)

141 Citations

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

Luca Pulvirenti;Marco Chini;Nazzareno Pierdicca;Giorgio Boni.
IEEE Transactions on Geoscience and Remote Sensing (2016)

128 Citations

Global Navigation Satellite Systems Reflectometry as a Remote Sensing Tool for Agriculture

Alejandro Egido;Marco Caparrini;Giulio Ruffini;Simonetta Paloscia.
Remote Sensing (2012)

123 Citations

Forest biomass monitoring with GNSS-R: Theoretical simulations

P. Ferrazzoli;L. Guerriero;N. Pierdicca;R. Rahmoune.
Advances in Space Research (2011)

117 Citations

Soil moisture estimation over vegetated terrains using multitemporal remote sensing data.

Nazzareno Pierdicca;Luca Pulvirenti;Christian Bignami.
Remote Sensing of Environment (2010)

116 Citations

Bayesian estimation of precipitating cloud parameters from combined measurements of spaceborne microwave radiometer and radar

F.S. Marzano;A. Mugnai;G. Panegrossi;N. Pierdicca.
IEEE Transactions on Geoscience and Remote Sensing (1999)

112 Citations

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