remotesensing-logo

Journal Browser

Journal Browser

Algorithm Development in Earth Observation Modeling Using Multi-sensor Data

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Geology, Geomorphology and Hydrology".

Deadline for manuscript submissions: closed (15 November 2024) | Viewed by 1224

Special Issue Editors


E-Mail Website
Guest Editor
Department of Geosciences and Geological and Petroleum Engineering, Missouri University of Science and Technology, Rolla, MO, USA
Interests: mapping; topography; algorithms; earthquakes; observation; SAR; tectonics; satellite; radar; remote sensing

E-Mail Website
Guest Editor
GGPE Department, Missouri University of Science and Technology, Rolla, MO 65409-0450, USA
Interests: InSAR; GPS; surface displacements; earthquake; numerical modeling, natural and anthropogenic crustal deformation processes

E-Mail Website
Guest Editor
Department of Geosciences, Stony Brook University, New York, NY, USA
Interests: surface mineralogy and composition; spectroscopy; numerical modelling; data science; machine learning; planetary science; optical remote sensing

Special Issue Information

Dear Colleagues,

Our planet’s dynamic nature, exemplified by shifting tectonic plates and the resulting seismic activity, necessitates advanced, comprehensive monitoring systems. The discipline of remote sensing stands at the forefront in this regard, providing a powerful toolkit to track, interpret, and predict these changes. Sophisticated algorithms lie at the core of these tools which transform multisensor data into invaluable insights into the Earth’s geomorphological processes.

This Special Issue titled “Algorithm Development in Earth Observation Modeling Using Multi-sensor Data” focuses on the evolution and significance of these algorithms, especially as they apply to understanding active tectonic and volcanic geomorphology processes. This Special Issue will delve into the use of radar remote sensing techniques, such as Interferometric Synthetic Aperture Radar (InSAR), which are essential for mitigating natural hazards, and optical remote sensing involving multispectral and hyperspectral sensors, which are vital for environmental monitoring and land-use changes.

As we grapple with escalating environmental concerns and an unprecedented influx of data from various satellite systems, this research field has become indispensable. It invites contributions exploring both short-term and long-term deformations that inform the geomorphology and tectonic processes across various tectonic regimes worldwide. With a broad scope covering major geological hazards like earthquakes, volcanoes, landslides, and debris flows, we welcome studies that harness multisource data integration tools, such as satellite remote sensing, InSAR, high-resolution drone airborne optical images, remote spectral datasets, and LiDAR. Through fostering algorithmic advancements in remote sensing, we aim to better equip ourselves to understand and respond to our rapidly changing planet.

Dr. Sanaz Vajedian
Dr. Rishabh Dutta
Dr. Indhu Varatharajan
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

  • remote sensing
  • multisensor data
  • earth observation modeling
  • satellite data
  • algorithm development
  • radar remote sensing
  • InSAR
  • tectonic geomorphology
  • optical remote sensing
  • multispectral sensors
  • hyperspectral sensors
  • seismic activity
  • geological hazards
  • multisource data integration
  • LiDAR

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

36 pages, 23008 KiB  
Article
Pre-Earthquake Oscillating and Accelerating Patterns in the Lithosphere–Atmosphere–Ionosphere Coupling (LAIC) before the 2022 Luding (China) Ms6.8 Earthquake
by Xuemin Zhang, Angelo De Santis, Jing Liu, Saioa A. Campuzano, Na Yang, Gianfranco Cianchini, Xinyan Ouyang, Serena D’Arcangelo, Muping Yang, Mariagrazia De Caro, Xinyan Li, Cristiano Fidani, Hong Liu, Martina Orlando, Lei Nie, Loredana Perrone, Alessandro Piscini, Lei Dong, Dario Sabbagh, Maurizio Soldani and Pan Xiongadd Show full author list remove Hide full author list
Remote Sens. 2024, 16(13), 2381; https://doi.org/10.3390/rs16132381 - 28 Jun 2024
Cited by 2 | Viewed by 776
Abstract
The coupling processes among the lithosphere, atmosphere, and ionosphere (LAI) during the earthquake preparation phase are still an open scientific debate. Comprehensive LAI coupling effects around the 2022 Ms6.8 Luding earthquake in China are investigated with a multi-parameter and multi-layer approach, including the [...] Read more.
The coupling processes among the lithosphere, atmosphere, and ionosphere (LAI) during the earthquake preparation phase are still an open scientific debate. Comprehensive LAI coupling effects around the 2022 Ms6.8 Luding earthquake in China are investigated with a multi-parameter and multi-layer approach, including the b-value, revised accelerated moment release, Earth resistivity, ELF magnetic field emissions, atmospheric electric field, surface temperature, foF2 from ionosonde, GNSS TEC, Ne and magnetic field from CSES and Swarm satellites, and energetic electrons from CSES and NOAA satellites. It is found that the anomalies start from the lithospheric parameters as Earth resistivity and b-values 1–2 years before to reflect the local stress loading in the seismic region, then the ionospheric and atmospheric disturbances occur and accelerate −50 days before and −15 days before, and finally the electrons precipitate a few days before. The simultaneous perturbations in LAI illustrate the thermodynamic coupling channel, such as on 24 August, −12 days before. Meanwhile, the abundant developed ionospheric anomalies without atmospheric disturbances demonstrate the electromagnetic coupling way from the lithosphere to the ionosphere directly. Finally, the results demonstrate a two-way model of LAIC: one way is characterized by a slow chain of processes, of thermodynamic nature, starting from the ground and proceeding to the above atmosphere and ionosphere, showing an exponential trend in the cumulative number of anomalies; the second way is characterized by oscillating electromagnetic coupling between the lithosphere and ionosphere, showing intermittent fluctuations in the corresponding cumulative number of anomalies. Full article
Show Figures

Figure 1

Back to TopTop