Michela Ravanelli

Probing the ionospheric effects of the 2020 Aegean Sea earthquake: Leveraging GNSS observations for tsunami early warning in the Mediterranean.

Machine learning-based detection of TEC signatures related to earthquakes and tsunamis: the 2015 Illapel case study

Travelling ionospheric disturbances detection: A statistical study of detrending techniques, induced period error and near real-time observables

Exploring AI progress in GNSS remote sensing: A deep learning based framework for real-time detection of earthquake and tsunami induced ionospheric perturbations

GNSS VarioPy: A Comprehensive Tool for Enhancing Early-Warning Systems for Geophysical and Atmospheric Events Through GNSS Permanent Stations Networks

Natural hazard monitoring with global navigation satellite systems (GNSS)

Using Machine Learning for identifying TEC signatures related to earthquakes and tsunamis: the 2015 Illapel event case study

An insight into ALTRUIST: how to use GNSS Variometry for Natural Hazards Detecting and Monitoring

Ocean-ionosphere disturbances due to the 15 January 2022 Hunga-Tonga Hunga Ha'apai eruption

Deep learning driven detection of tsunami related internal GravityWaves: a path towards open-ocean natural hazards detection

A Deep Learning Approach for Detection of Internal Gravity Waves in Earth's Ionosphere

The TEC-GNSS analysis of the paroxysmal eruptive activity of Mt. Etna

The contribution of Total Variometric Approachto the 2023 Türkiye earthquake sequences

The challenge of investigating ionospheric perturbations connected to the 2020 Samos earthquake and tsunami

The variometric approach for the monitoring of natural hazard-induced ionospheric perturbations

Toward automatic near-real-time detection of travelling ionospheric disturbances (TIDs) driven by lower atmosphere and near-surface geophysical events

Integrating Ground, Ionosphere, and Sea Level Data for a Comprehensive Analysis of the 2023 Kahramanmara Earthquake Sequence

On the North-South Asymmetry of Co Seismic Ionospheric Disturbances During the 16 September 2015 Illapel M8. 3 Earthquake

The 15 January 2022 Hunga Tonga eruption history as inferred from ionospheric observations

How the 15 January 2022 Hunga Tonga-Hunga Ha'pai volcano eruption shook the ionosphere

Ship-based GNSS ionospheric observations for the detection of tsunamis with deep learning

The VARION approach to volcanoes: case study on 2021 Etna eruptions

The 15 January 2022 Hunga Tonga eruption scenario and chronology as derived from the ionosphere

Anisotropic response of the near and far field ionosphere to the 2022 Hunga Tonga-Hunga Ha'apai eruption

L'éruption du volcan Hunga Tonga-Hunga Ha'apai le 15 janvier 2022: un ébranlement du systéme Terre à l'échelle planétaire

The eruption of the Hunga Tonga-Hunga Ha'apai volcano on January 15, 2022: a shock of the Earth on a global scale

GNSS total variometric approach: first demonstration of a tool for real-time tsunami genesis estimation

Modeling Near-field Co-Seismic Ionospheric Disturbances During the 2015 Illapel Earthquake

An innovative methodology for locating ionosphere layer height: case study on 2011 Tohoku-Oki earthquake and tsunami

Detecting Tsunami-related Gravity Waves in Earth's Ionosphere with Convolutional Neural Networks

Traveling Ionospheric Disturbances Detection With Convolutional Neural Networks: A Proof-Of-Concept With the 2012 Hawaii Earthquake and Tsunami

Detection of tsunami induced ionospheric perturbation with ship-based GNSS measurements: 2010 Maule tsunami case study

Ionosphere Monitoring with Multi-Frequency and Multi-GNSS Android Smartphone: A Feasibility Study Towards GNSS Big Data Applications for Geosciences

A complete fos approach for indoor crowdsourced mapping: Case study on Sapienza University of Rome faculties

Tids detection from ship-based GNSS receiver: First test on 2010 maule tsunami

Real-time monitoring of ionospheric irregularities and tec perturbations

Advantages of geostationary satellites for ionospheric anomaly studies: Ionospheric plasma depletion following a rocket launch

Real-time geophysical applications with Android GNSS raw measurements

The VARION algorithm for moving GNSS receivers: preliminary tests and results.

Modeling the near-field ionospheric disturbances during earthquakes

Advances in Development of a Near Real-time Tsunami Early Warning System Using GNSS Ionospheric Measurements

A joint use of GNSS GEO and MEO satellites for earthquake and tsunami induced TIDs analysis: application to recent relevant events in the Pacific area

The VARION algorithm for moving GNSS receivers: preliminary testsand results

The variometric approach to real-time high-frequency geodesy

A joint variometric approach for real-time analysis of earthquake driven ionospheric disturbances using a Stand-Alone GNSS Receiver: the 2015 Chile earthquake case study

Towards Real-Time Detection of Meteorological Tsunami-Generated Ionospheric Disturbances Using Stand-Alone GNSS Receivers

Towards real-time detection of traveling ionospheric disturbances using the VARION algorithm with GNSS and geostationary satellites

Ionospheric Plasma Density Depletions Following Rocket Launches As Observed by Geostationary Satellites