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Advances in Geological Hazard Characterization and Assessment: Merging Remote Sensing with Direct Surveys

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Earth Observation for Emergency Management".

Deadline for manuscript submissions: 10 January 2025 | Viewed by 1626

Special Issue Editors


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Guest Editor
Chinese Academy of Geological Sciences, Beijing, China
Interests: landslides; tectonics active tectonics engineering geology; slope stability; geotechnical engineering; earthquake; field geology; remote sensing

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Guest Editor
DICeM-Università degli Studi di Cassino e del Lazio Meridionale, Cassino, Italy
Interests: InSAR; earthquake; numerical simulation; geotechnical investigations; hydrogeology geomopgology; landslides
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Istituto Nazionale di Geofisica e Vulcanologia, Lazio, Roma, Italy
Interests: ground displacements; subsidence; earthquakes; numerical model; earthquake engineering
College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China
Interests: remote sensing; landslide; satellite analysis; engineering geology; geo-hazards
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Geological hazards, including landslides, earthquakes, and volcanic eruptions, pose significant risks to human life and infrastructure worldwide. These events can lead to massive economic losses, societal disruption, and environmental degradation. As our understanding of these hazards evolves, the integration of advanced remote sensing technologies with traditional direct surveys has proven to be a game-changer. This combination enables more accurate characterization and assessment of geological hazards, offering a comprehensive understanding that is crucial for effective risk management and mitigation strategies. The advancements in remote sensing, such as UAV LiDAR, InSAR, and high-resolution satellite imagery, have revolutionized the way we monitor and analyze geological processes, especially in remote or inaccessible regions.

This Special Issue aims to highlight the latest advancements in the integration of remote sensing and direct surveys for better characterization and assessment of geological hazards. By bringing together cutting-edge research and methodologies, this Special Issue seeks to showcase how these integrated approaches can enhance our understanding of geological processes and improve hazard prediction and mitigation efforts. This subject is highly relevant to the journal's scope as it addresses the intersection of technological innovation and practical application in the field of geosciences, promoting interdisciplinary research that bridges the gap between remote sensing technology and field-based studies.

The Special Issue welcomes original research articles, case studies, review papers, and methodological advances that contribute to the field of geological hazard characterization and assessment. Suggested themes and article types include, but are not limited to, the following:

  • Remote Sensing Technologies for Geological Hazards: development, automation, implementation, and validation of new remote sensing algorithms for geological hazard monitoring;
  • Geological Hazard Assessment Techniques: case studies demonstrating the integration of remote sensing data with direct surveys for geological hazard assessment;
  • Technological Innovations: innovations in UAV LiDAR, InSAR, and other remote sensing technologies that enhance the detection and analysis of geological hazards;
  • Data Integration and Modeling: methods for combining remote sensing data with ground-based observations and physical models to improve hazard characterization;
  • Applications in Hazard Mitigation: practical applications of integrated remote sensing and direct surveys in developing effective hazard mitigation strategies and policies;
  • Review Articles: comprehensive reviews on the latest advancements in integrating remote sensing and direct surveys for geological hazard assessment.

Prof. Dr. Changbao Guo
Prof. Dr. Michele Saroli
Dr. Matteo Albano
Dr. Ping Lu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • geological Hazards
  • remote sensing
  • UAV LiDAR
  • InSAR
  • high-resolution satellite imagery
  • direct Surveys
  • hazard assessment
  • risk management
  • data integration
  • hazard mitigation

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Published Papers (1 paper)

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Research

20 pages, 6931 KiB  
Article
Swarm Investigation of Ultra-Low-Frequency (ULF) Pulsation and Plasma Irregularity Signatures Potentially Associated with Geophysical Activity
by Georgios Balasis, Angelo De Santis, Constantinos Papadimitriou, Adamantia Zoe Boutsi, Gianfranco Cianchini, Omiros Giannakis, Stelios M. Potirakis and Mioara Mandea
Remote Sens. 2024, 16(18), 3506; https://doi.org/10.3390/rs16183506 - 21 Sep 2024
Cited by 1 | Viewed by 1178
Abstract
Launched on 22 November 2013, Swarm is the fourth in a series of pioneering Earth Explorer missions and also the European Space Agency’s (ESA’s) first constellation to advance our understanding of the Earth’s magnetic field and the near-Earth electromagnetic environment. Swarm provides an [...] Read more.
Launched on 22 November 2013, Swarm is the fourth in a series of pioneering Earth Explorer missions and also the European Space Agency’s (ESA’s) first constellation to advance our understanding of the Earth’s magnetic field and the near-Earth electromagnetic environment. Swarm provides an ideal platform in the topside ionosphere for observing ultra-low-frequency (ULF) waves, as well as equatorial spread-F (ESF) events or plasma bubbles, and, thus, offers an excellent opportunity for space weather studies. For this purpose, a specialized time–frequency analysis (TFA) toolbox has been developed for deriving continuous pulsations (Pc), namely Pc1 (0.2–5 Hz) and Pc3 (22–100 mHz), as well as ionospheric plasma irregularity distribution maps. In this methodological paper, we focus on the ULF pulsation and ESF activity observed by Swarm satellites during a time interval centered around the occurrence of the 24 August 2016 Central Italy M6 earthquake. Due to the Swarm orbit’s proximity to the earthquake epicenter, i.e., a few hours before the earthquake occurred, data from the mission may offer a variety of interesting observations around the time of the earthquake event. These observations could be associated with the occurrence of this geophysical event. Most notably, we observed an electron density perturbation occurring 6 h prior to the earthquake. This perturbation was detected when the satellites were flying above Italy. Full article
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