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Near-Surface Geophysics and Remote Sensing for Observing Coupled Surface and Subsurface Processes and Their Interactions

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: 31 October 2026 | Viewed by 706

Special Issue Editors


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Guest Editor
School of Earth Sciences, Zhejiang University, Hangzhou, China
Interests: near-surface geophysics; ground-penetrating radar

Special Issue Information

Dear Colleagues,

In recent years, understanding the coupling and interaction between surface and subsurface processes has become increasingly critical for interpreting dynamic Earth systems and supporting sustainable management. This Special Issue focuses on integrating near-surface geophysics with remote sensing (RS) to advance the observation and interpretation of these coupled processes. Instead of providing a broad summary of potential elements, we prioritize a generic framework for studying surface-subsurface interactions.

Time-lapse shallow geophysical techniques have emerged as powerful tools for monitoring subsurface changes with high spatial and temporal resolution, including seismic surveys, electromagnetic methods, electrical resistivity tomography (ERT), and ground-penetrating radar (GPR). These subsurface-focused methods are complemented by diverse remote sensing platforms and tools, such as satellite-borne sensors, aerial remote sensing, and UAV-based imaging, which deliver comprehensive, synoptic observations of surface processes (e.g., land cover change, surface water dynamics, vegetation status).

The integration of these two approaches enables holistic monitoring of coupled surface-subsurface processes, covering a wide range of critical research directions: Surface and groundwater dynamics, including aquifer recharge, soil moisture variation, and groundwater–surface water interactions; changes in surface and subsurface sediment states, such as erosion, deposition, compaction, and liquefaction; urban land use and subsurface space utilization, including infrastructure stability, utility mapping, and underground construction impacts; and additional critical processes such as permafrost thaw and thermokarst development, coastal and riverbank erosion, landslide and subsidence hazards, contaminant plume migration, soil–vegetation–water interactions in critical zones, archaeological and paleohydrological feature detection, and geothermal system monitoring. This generic framework accommodates these diverse research areas, providing a flexible foundation for multidisciplinary research.

This Special Issue aims to provide a platform for discussing advances in monitoring coupled surface and subsurface processes through the integration of remote sensing and near-surface geophysical approaches. Through multidisciplinary case studies and methodological innovations, we seek to facilitate knowledge exchange among geophysicists, remote sensing scientists, hydrologists, geotechnical engineers, urban planners, and environmental researchers. The issue will highlight emerging trends, such as artificial intelligence (AI)-enhanced data fusion, multi-sensor integration, and real-time monitoring networks. Ultimately, we aim to promote disciplinary development and pave the way for more effective, sustainable, and innovative approaches to observing and interpreting the changing Earth—from the surface to the shallow subsurface.

Dr. Wenke Zhao
Prof. Dr. Vagner Ferreira
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 250 words) can be sent to the Editorial Office for assessment.

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 (RS)
  • satellite remote sensing
  • UAV remote sensing
  • aerial remote sensing
  • near-surface geophysics
  • electromagnetic method
  • electrical resistivity tomography (ERT)
  • ground-penetrating radar (GPR)
  • coupled surface-subsurface processes
  • hydrogeophysics
  • time-lapse monitoring
  • artificial intelligence (AI)

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Published Papers (2 papers)

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Research

27 pages, 13966 KB  
Article
Ice-Sheet Imaging near an Antarctic Drilling Site Using Passive Seismic Rayleigh Waves and P-Wave Reflections
by Jun Zheng, Guofeng Liu, Yazhou Li, Bing Li and Yuchen Sun
Remote Sens. 2026, 18(11), 1793; https://doi.org/10.3390/rs18111793 - 1 Jun 2026
Viewed by 185
Abstract
Antarctic drilling projects provide critical information for investigating ice-sheet stability, reconstructing paleoclimate evolution, and characterizing subglacial geological structures through ice-core and bedrock recovery. Drilling site selection currently relies on high-resolution geophysical methods such as radio echo sounding and active-source seismic methods; however, radar [...] Read more.
Antarctic drilling projects provide critical information for investigating ice-sheet stability, reconstructing paleoclimate evolution, and characterizing subglacial geological structures through ice-core and bedrock recovery. Drilling site selection currently relies on high-resolution geophysical methods such as radio echo sounding and active-source seismic methods; however, radar imaging near the ice–bedrock interface is limited by electromagnetic attenuation, while active-source seismic methods in polar regions are constrained by logistical complexity and high cost. To address these limitations, this study proposes a passive integrated imaging approach that integrates P-wave responses and vertical-component Rayleigh-wave information retrieved from continuous ambient noise recordings near drilling sites using seismic interferometry. Based on their distinct propagation characteristics, signal selection and processing workflows are developed to jointly image near-surface firn structure, ice-sheet thickness, and subglacial bedrock structure. Application to the Princess Elizabeth Land drilling project in East Antarctica demonstrates that high- signal-to-noise-ratio P-wave responses and vertical-component Rayleigh-wave signals can be retrieved from as little as 24 h of ambient noise data, while stacking the full 20-day record further suppresses incoherent noise and yields more reliable imaging of the ice–bedrock interface. These results indicate that passive seismic imaging provides a rapid, cost-effective, and environmentally friendly complement for drilling site selection and operational support. Full article
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21 pages, 24623 KB  
Article
Euler Deconvolution of Magnetic Anomalies over Undulating Terrain Using an Equivalent Source Method Based on Correlation Imaging and Improved DBSCAN
by Wenbo Jin, Yuan Yuan, Dongmei Huang, Yuwen Gao, Bin Wu and Zhongshan Jiang
Remote Sens. 2026, 18(11), 1759; https://doi.org/10.3390/rs18111759 - 1 Jun 2026
Viewed by 217
Abstract
Euler deconvolution is widely used to estimate the three-dimensional locations of geological sources from magnetic anomaly data. However, traditional Euler deconvolution is commonly performed on planar gridded data, whereas magnetic surveys in mountainous and hilly areas are often acquired over undulating terrain. Reducing [...] Read more.
Euler deconvolution is widely used to estimate the three-dimensional locations of geological sources from magnetic anomaly data. However, traditional Euler deconvolution is commonly performed on planar gridded data, whereas magnetic surveys in mountainous and hilly areas are often acquired over undulating terrain. Reducing such data to a horizontal plane before derivative calculation can introduce transformation errors, and derivative calculation by the conventional FFT-based (wavenumber-domain) method becomes less suitable under variable topographic conditions. To address these limitations, this study proposes an equivalent source method based on correlation imaging for calculating the spatial derivatives required by Euler deconvolution directly from magnetic anomaly data acquired over undulating terrain. An improved Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm is further introduced to suppress spurious Euler solutions and retain valid source location estimates. Synthetic model experiments show that the proposed equivalent source method yields more accurate derivatives than the conventional FFT-based method under undulating terrain conditions. The improved DBSCAN algorithm effectively removes spurious solutions while preserving clustered solutions associated with geological sources. The proposed workflow was further applied to magnetic data from a coal fire zone in Shenmu, Shaanxi Province, China, to estimate the 3D locations of underground magnetic sources related to underground coal fires. The interpreted source locations are consistent with surface validation evidence, demonstrating the applicability of the proposed method for magnetic anomaly interpretation in complex topographic settings. Full article
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