Article
Geochemistry & Geophysics
Maria Garcia-Fernandez, Guillermo Alvarez-Narciandi, Yuri Alvarez Lopez, Fernando Las-Heras
Summary: The usage of unmanned aerial vehicles (UAVs)-based ground penetrating radar (GPR) systems has gained interest due to their advantages over ground-based systems in terms of contactless inspection and capability to reach difficult-to-access areas. Improving the scanning throughput while maintaining imaging capabilities is a challenge for these systems. This contribution presents an array-based GPR-SAR system for subsurface imaging, which significantly improves the scanning throughput and provides enhanced detection capabilities through the coherent combination of all transmitting-receiving channels of the array.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Geochemistry & Geophysics
Omkar Pradhan, Albin J. Gasiewski
Summary: This paper presents an endfire synthetic aperture radar (SAR) designed for a cylindrical ice-penetrating cryobot. The SAR is used to detect and map obstacles inside ice for subsurface exploration. The unique feature of this system is the use of paired antennas with fixed baselines to implement multiple coherent monostatic SARs for 3D target position estimation. Experimental validation of the SAR's performance is presented, including radar signal coherency tests and point target estimation.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Computer Science, Interdisciplinary Applications
J. Hunziker, E. C. Slob, J. Irving
Summary: To address the computational cost issue in modeling GPR reflection data on glaciers, the authors propose a semi-analytical method based on the assumption of a homogeneous background medium. By representing scattering surfaces with planar elements and considering the antenna radiation pattern, this method can produce realistic 3D GPR data in a fast and memory efficient way. The algorithm is validated with an analytical solution for a layered model and applied to simulate radar data for the Otemma glacier in Switzerland.
COMPUTERS & GEOSCIENCES
(2023)
Article
Geochemistry & Geophysics
Zacharie Idriss, Raghu G. Raj, Ram M. Narayanan
Summary: This paper presents a feature extraction technique based on the electromagnetic representation of radar signals, focusing on ground-penetrating radar imaging. The proposed modeling framework accurately models the surface current density induced on scattering surfaces. A novel methodology is devised to extract features for classification from radar scenes.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Engineering, Electrical & Electronic
Xianbin Zhao, Weizeng Shao, Zhengzhong Lai, Xingwei Jiang
Summary: The purpose of this study was to develop a method for retrieving rain rate from C-band synthetic aperture radar (SAR) images during tropical cyclones (TCs). Seven dual-polarized Sentinel-1 SAR images were used, and rain rates measured by Microwave Radiometers were compared. Wind speeds were retrieved from SAR images using a geophysical model function. Rain cells were identified based on differences in normalized radar cross section (NRCS). An empirical function named CRAIN_S1 was developed for rain retrieval. Validation of the results showed a root mean square error of 0.58 mm/h and a correlation of 0.89.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Geochemistry & Geophysics
Maxwell Nogueira Peixoto, Michelangelo Villano
Summary: Synthetic aperture radar (SAR) is a high-resolution imaging radar used in satellite remote sensing, with staggered SAR being a novel mode of operation under consideration for future SAR missions. Proposed processing techniques aim to mitigate the impact of nadir echoes in staggered SAR images and recover useful signals through interpolation, leading to improved image quality at a reasonable additional computational cost.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Geochemistry & Geophysics
Sophie Marie Stephan, Niklas Allroggen, Jens Tronicke
Summary: Cost-effective computing capabilities have made it possible to use numerical modeling in the development of advanced methods and applications for ground-penetrating radar (GPR). However, current methods often overlook the inclusion of realistic noise or rely on simplified Gaussian noise models. This study presents an approach to incorporate realistic noise scenarios into the modeling of synthetic GPR data, demonstrating its effectiveness in generating synthetic GPR data with realistic noise characteristics and highlighting the limitations of pure white Gaussian noise models.
NEAR SURFACE GEOPHYSICS
(2023)
Article
Environmental Sciences
Kersten Schmidt, Marco Schwerdt, Guillaume Hajduch, Pauline Vincent, Andrea Recchia, Muriel Pinheiro
Summary: SAR data products for Sentinel-1 have been freely available since 2014, and this paper introduces a method for correcting changes due to updates without reprocessing SAR data products. The method was applied to data acquisitions at the DLR calibration site and showed improved radiometric accuracy for almost five years.
Review
Forestry
Brunela Pollastrelli Rodrigues, Christopher Adam Senalik, Xi Wu, James Wacker
Summary: This paper is a review of studies on the use of ground penetrating radar (GPR) for wood structures, highlighting its advantages as an inspection tool and the gaps in knowledge for its practical application. Despite laboratory studies, the use of GPR on large wood structures remains limited. Key knowledge gaps include distinguishing internal feature types and identifying internal decay.
Article
Geochemistry & Geophysics
Lapo Miccinesi, Alberto Michelini, Massimiliano Pieraccini
Summary: This article proposes an acquisition modality and image processing technique to mitigate blurring in GBSAR images caused by moving clutter. By filtering out high-frequency clutter and using high-frequency sampling, the authors have demonstrated the effectiveness of these methods in a realistic quarry scenario.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Geochemistry & Geophysics
Bin Liu, Yuxiao Ren, Hanchi Liu, Hui Xu, Zhengfang Wang, Anthony G. Cohn, Peng Jiang
Summary: GPRInvNet is a deep neural network architecture for inverting subsurface structures from ground-penetrating radar (GPR) B-Scan data, capable of effectively reconstructing complex defects in tunnel linings. By fusing features from adjacent traces to enhance each trace and further condensing features, it achieves accurate spatial alignment.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Remote Sensing
Tess Luo, Song Zhu, Yiliminuer Yikeremu, Jiasong Zhu, John van Genderen
Summary: This study proposes a method for preliminary diagnosing large-scale culverts based on GPR wave attributes, which includes evaluating soil compactness, investigating soil moisture, and overlaying the results to pinpoint potential degradations. The method was validated through case studies on two long-distance culverts. The results indicate that this method can provide quick reference to improve GPR survey efficiency and reduce workload, facilitating large-scale GPR culvert surveys and safeguarding the water system.
GEO-SPATIAL INFORMATION SCIENCE
(2023)
Article
Remote Sensing
Benyamin Hosseiny, Jalal Amini, Hossein Aghababaei
Summary: This study develops a ground-based synthetic aperture radar (GBSAR) imaging system and interferometric processing framework for structural health monitoring (SHM). The proposed GBSAR system can monitor sub-millimeter displacements with high spatial resolution and 0.02 mm precision in the LOS direction. It also demonstrates high potential for measuring continuous sub-second LOS displacements and long-term 3D displacement vectors.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Article
Environmental Sciences
Pratima Pandey, Rupendra Singh, Ashutosh Venkatesh Prasad, Anirudha Mahagaonkar, S. Nawaz Ali
Summary: This study classified the glacier facies or radar glacier zones of surge-type glaciers in the Karakoram Himalaya based on the differences in backscatter values using multi-temporal SAR data from the Sentinel-1 satellite. The results showed a distinct distribution pattern of facies on surge-type glaciers, different from non-surge-type glaciers, and not correlated with glacier elevation.
GEOCARTO INTERNATIONAL
(2022)
Article
Chemistry, Analytical
Mengda Wu, Laurent Ferro-Famil, Frederic Boutet, Yide Wang
Summary: This paper investigates the performance of various radar imaging modes for the inspection and characterization of roadways. It evaluates the ability of each configuration to detect shallow underground defects and estimate geophysical parameters. The results show the potential of forward-scattering tomographic configuration in detecting and characterizing roadways.
Article
Geosciences, Multidisciplinary
Anja Diez, Kenichi Matsuoka, Fausto Ferraccioli, Tom A. Jordan, Hugh F. Corr, Jack Kohler, Arne V. Olesen, Rene Forsberg
GEOPHYSICAL RESEARCH LETTERS
(2018)
Article
Geosciences, Multidisciplinary
Heidi Sevestre, Douglas I. Benn, Adrian Luckman, Christopher Nuth, Jack Kohler, Katrin Lindback, Rickard Pettersson
JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
(2018)
Article
Environmental Sciences
Bart Peeters, Ashild Onvik Pedersen, Leif Egil Loe, Ketil Isaksen, Vebjorn Veiberg, Audun Stien, Jack Kohler, Jean-Charles Gallet, Ronny Aanes, Brage Bremset Hansen
ENVIRONMENTAL RESEARCH LETTERS
(2019)
Article
Geosciences, Multidisciplinary
Anja Diez, Kenichi Matsuoka, Tom A. Jordan, Jack Kohler, Fausto Ferraccioli, Hugh F. Corr, Arne V. Olesen, Rene Forsberg, Tania G. Casal
JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
(2019)
Article
Biology
Charmain D. Hamilton, Jade Vacquie-Garcia, Kit M. Kovacs, Rolf A. Ims, Jack Kohler, Christian Lydersen
Article
Geography, Physical
Cesar Deschamps-Berger, Christopher Nuth, Ward van Pelt, Etienne Berthier, Jack Kohler, Bas Altena
JOURNAL OF GLACIOLOGY
(2019)
Article
Marine & Freshwater Biology
Tomas Torsvik, Jon Albretsen, Arild Sundfjord, Jack Kohler, Anne Dagrun Sandvik, Jofrid Skarohamar, Katrin Lindback, Alistair Everett
ESTUARINE COASTAL AND SHELF SCIENCE
(2019)
Article
Ecology
Ankit Pramanik, Jack Kohler, Thomas Schuler, Ward van Pelt, Lana Cohen
Article
Geosciences, Multidisciplinary
Thomas Schuler, Jack Kohler, Nelly Elagina, Jon Ove M. Hagen, Andrew J. Hodson, Jacek A. Jania, Andreas M. Kaab, Bartlomiej Luks, Jakub Malecki, Geir Moholdt, Veijo A. Pohjola, Ireneusz Sobota, Ward J. J. Van Pelt
FRONTIERS IN EARTH SCIENCE
(2020)
Article
Multidisciplinary Sciences
Brice Noel, C. L. Jakobs, W. J. J. van Pelt, S. Lhermitte, B. Wouters, J. Kohler, J. O. Hagen, B. Luks, C. H. Reijmer, W. J. van de Berg, M. R. van den Broeke
NATURE COMMUNICATIONS
(2020)
Review
Astronomy & Astrophysics
Svein-Erik Hamran, David A. Paige, Hans E. F. Amundsen, Tor Berger, Sverre Brovoll, Lynn Carter, Leif Damsgard, Henning Dypvik, Jo Eide, Sigurd Eide, Rebecca Ghent, Oystein Helleren, Jack Kohler, Mike Mellon, Daniel C. Nunes, Dirk Plettemeier, Kathryn Rowe, Patrick Russell, Mats Jorgen oyan
SPACE SCIENCE REVIEWS
(2020)
Article
Geography, Physical
Ward van Pelt, Veijo Pohjola, Rickard Pettersson, Sergey Marchenko, Jack Kohler, Bartlomiej Luks, Jon Ove Hagen, Thomas V. Schuler, Thorben Dunse, Brice Noel, Carleen Reijmer
Article
Geosciences, Multidisciplinary
Katrin Lindback, Jack Kohler, Rickard Pettersson, Christopher Nuth, Kirsty Langley, Alexandra Messerli, Dorothee Vallot, Kenichi Matsuoka, Ola Brandt
EARTH SYSTEM SCIENCE DATA
(2018)
Article
Geography, Physical
Dorothee Vallot, Jan Astrom, Thomas Zwinger, Rickard Pettersson, Alistair Everett, Douglas I. Benn, Adrian Luckman, Ward J. J. van Pelt, Faezeh Nick, Jack Kohler
Article
Geosciences, Multidisciplinary
Marco Moeller, Jack Kohler
FRONTIERS IN EARTH SCIENCE
(2018)