Detecting shallow subsurface anomalies with airborne and spaceborne remote sensing: A review

Advances in air and space sensor technology reveal new opportunities and innovative ways to remotely sense the Earth's subsurface. Considerable spatial coverage, fast and frequent image acquisition and very high radiometric, spectral, spatial and temporal resolution imaging systems can now dete...

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Main Authors: Adam M. Morley, Tamsin A. Mather, David M. Pyle, J-Michael Kendall
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Science of Remote Sensing
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Online Access:http://www.sciencedirect.com/science/article/pii/S2666017224000713
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author Adam M. Morley
Tamsin A. Mather
David M. Pyle
J-Michael Kendall
author_facet Adam M. Morley
Tamsin A. Mather
David M. Pyle
J-Michael Kendall
author_sort Adam M. Morley
collection DOAJ
description Advances in air and space sensor technology reveal new opportunities and innovative ways to remotely sense the Earth's subsurface. Considerable spatial coverage, fast and frequent image acquisition and very high radiometric, spectral, spatial and temporal resolution imaging systems can now detect near subsurface anomalies with impressive accuracy. The merits are extensive, with archaeological prospecting, environmental risk mitigation, natural resource exploration, defence and security and speleological research all benefitting from subsurface imaging capabilities over unknown territory, difficult terrain, hazardous environments and inaccessible ground. In this paper, we categorise the ground indicators and potential field characteristics of a general subsurface anomaly before reviewing and documenting over seventy air and space subsurface detection techniques using: photogrammetry, multispectral sensors, thermal infrared, hyperspectral imaging, synthetic aperture radar (SAR), airborne light detection and ranging (LiDAR), airborne gravity and aeromagnetics. The capabilities of each technique are evaluated by reviewing their ability to detect specific characteristics from subsurface anomalies and then they are tabulated by investigable feature and sensor type in seven technique tables. Research trends in motive, sensor type and subsurface anomaly characteristic are discussed and a short review of the major ground-truthing techniques used to verify airborne and spaceborne observations is considered. To close, we take a brief look at future research opportunities with very high resolution (VHR) datasets, multi-branch convolutional neural networks (CNNs) and active remote sensing in variable potential fields.
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spelling doaj-art-bf1ca8d33d654fadb3fc4b49286e2d352025-01-12T05:25:45ZengElsevierScience of Remote Sensing2666-01722025-06-0111100187Detecting shallow subsurface anomalies with airborne and spaceborne remote sensing: A reviewAdam M. Morley0Tamsin A. Mather1David M. Pyle2J-Michael Kendall3Corresponding author.; Department of Earth Sciences, University of Oxford, South Parks Road, Oxford, OX1 3AN, UKDepartment of Earth Sciences, University of Oxford, South Parks Road, Oxford, OX1 3AN, UKDepartment of Earth Sciences, University of Oxford, South Parks Road, Oxford, OX1 3AN, UKDepartment of Earth Sciences, University of Oxford, South Parks Road, Oxford, OX1 3AN, UKAdvances in air and space sensor technology reveal new opportunities and innovative ways to remotely sense the Earth's subsurface. Considerable spatial coverage, fast and frequent image acquisition and very high radiometric, spectral, spatial and temporal resolution imaging systems can now detect near subsurface anomalies with impressive accuracy. The merits are extensive, with archaeological prospecting, environmental risk mitigation, natural resource exploration, defence and security and speleological research all benefitting from subsurface imaging capabilities over unknown territory, difficult terrain, hazardous environments and inaccessible ground. In this paper, we categorise the ground indicators and potential field characteristics of a general subsurface anomaly before reviewing and documenting over seventy air and space subsurface detection techniques using: photogrammetry, multispectral sensors, thermal infrared, hyperspectral imaging, synthetic aperture radar (SAR), airborne light detection and ranging (LiDAR), airborne gravity and aeromagnetics. The capabilities of each technique are evaluated by reviewing their ability to detect specific characteristics from subsurface anomalies and then they are tabulated by investigable feature and sensor type in seven technique tables. Research trends in motive, sensor type and subsurface anomaly characteristic are discussed and a short review of the major ground-truthing techniques used to verify airborne and spaceborne observations is considered. To close, we take a brief look at future research opportunities with very high resolution (VHR) datasets, multi-branch convolutional neural networks (CNNs) and active remote sensing in variable potential fields.http://www.sciencedirect.com/science/article/pii/S2666017224000713Remote sensingSubsurfaceAirborneSpacebornePhotogrammetryMultispectral
spellingShingle Adam M. Morley
Tamsin A. Mather
David M. Pyle
J-Michael Kendall
Detecting shallow subsurface anomalies with airborne and spaceborne remote sensing: A review
Science of Remote Sensing
Remote sensing
Subsurface
Airborne
Spaceborne
Photogrammetry
Multispectral
title Detecting shallow subsurface anomalies with airborne and spaceborne remote sensing: A review
title_full Detecting shallow subsurface anomalies with airborne and spaceborne remote sensing: A review
title_fullStr Detecting shallow subsurface anomalies with airborne and spaceborne remote sensing: A review
title_full_unstemmed Detecting shallow subsurface anomalies with airborne and spaceborne remote sensing: A review
title_short Detecting shallow subsurface anomalies with airborne and spaceborne remote sensing: A review
title_sort detecting shallow subsurface anomalies with airborne and spaceborne remote sensing a review
topic Remote sensing
Subsurface
Airborne
Spaceborne
Photogrammetry
Multispectral
url http://www.sciencedirect.com/science/article/pii/S2666017224000713
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AT tamsinamather detectingshallowsubsurfaceanomalieswithairborneandspaceborneremotesensingareview
AT davidmpyle detectingshallowsubsurfaceanomalieswithairborneandspaceborneremotesensingareview
AT jmichaelkendall detectingshallowsubsurfaceanomalieswithairborneandspaceborneremotesensingareview