InSAR sensitivity to active layer ground ice content in Adventdalen, Svalbard Lotte Wendt, Line Rouyet, Hanne H. Christiansen, Tom Rune Lauknes, Sebastian Westermann Cryosphere, 2026 Interferometric Synthetic Aperture Radar (InSAR) remote sensing of surface displacement in permafrost environments has the potential to resolve ground ice dynamics and potentially active layer thickness, yet field validation is sparse. Here we present a comparison between in-situ ground ice contents and the seasonal InSAR displacements of the following thawing season at 12 coring sites in Adventdalen, Svalbard. The study is focused on the year 2023, where frozen sediment cores were collected at the end of spring from the active layer and the uppermost permafrost. The sediment cores were analyzed with high resolution for volumetric ground ice and excess ice contents. The active layer thickness was estimated by probing the thaw depth at the end of the thawing season 2023, allowing estimation of the amount of expected subsidence from seasonal ground ice melt. The InSAR vertical displacements for the thawing season were derived from Small Baseline Subset (SBAS) processing of Sentinel-1 imagery. The expected subsidence from ground ice melt within the measured active layer aligned well with the seasonal InSAR maximum vertical displacement. Monte Carlo simulations were performed to include uncertainties in the expected and measured InSAR subsidence, leading to a mean coefficient of determination of 0.72 and a mean absolute error of 14 mm for the correlation between InSAR subsidence and expected subsidence from in-situ ground ice melt. Excess ice is highly variable and is the main source of the expected subsidence during this thawing season, which was exceptionally warm. The expected subsidence and active layer thickness show only a weak relationship due to the observed complex ice content distribution in the active layer and uppermost permafrost. Our results show the significant potential of InSAR for mapping ground ice variability; however, they also suggest that estimating active layer thickness using InSAR requires careful consideration of the complex occurrence of both pore and excess ice in the active layer and uppermost permafrost.
Iceberg Detection With RADARSAT-2 Quad-Polarimetric C-Band SAR in Kongsfjorden, Svalbard-Comparison With a Ground-Based Radar Johnson Bailey, Vahid Akbari, Tao Liu, Tom Rune Lauknes, Armando Marino IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024 Satellite monitoring of icebergs in the Arctic region is paramount for the safety of shipping and maritime activities. The potential of polarimetric synthetic aperture radar data in enhancing detection capabilities of icebergs under interchangeable and challenging conditions is explored in this work. We introduce RADARSAT-2 quad-pol C-band data to detect icebergs in Kongsfjorden, Svalbard. The location contains two tidewater glaciers and is chosen because multiple processes are present in this region, such as ice formation and its relationship with the glaciers, freshwater discharge. Six state-of-the-art detectors are tested for detection performance. These are the dual-intensity polarization ratio anomaly detector, polarimetric notch filter, polarimetric match filter, symmetry, polarimetric whitening filter (PWF), and optimal polarimetric detector (OPD). In addition, we also tested the parameters of the Cloude–Pottier decomposition. In this study, we make use of a ground-based radar for validation and comparison with satellite images. We show that in calm sea-state conditions, the OPD and PWF detectors give high probability of detection (PD) values of 0.7–0.8 when the probability of false alarm (PF) value is 0.01–0.05, compared with choppy sea conditions where the same detectors have degraded performance (PD = 0.5–0.7). Target-to-clutter ratio (TCR) values for each polarization channel is also extracted and compared to the icebergs’ dimensions. The ground-based radar shows higher values in TCR, compared with satellite images. These findings corroborate previous work and show that sea-ice activity, surface roughness, incidence angle, weather, and sea-state conditions all affect the sensitivity of the detectors for this task.
The Response of Tidewater Glacier Termini Positions in Hornsund (Svalbard) to Climate Forcing, 1992–2020 Małgorzata Błaszczyk, Mateusz Moskalik, Mariusz Grabiec, Jacek Jania, Waldemar Walczowski, et al. Journal of Geophysical Research Earth Surface, 2023 Many Arctic marine‐terminating glaciers have undergone rapid retreats in recent decades. Seasonal and year‐to‐year variations in terminus position act on all tidewater glaciers, but the key controls on those changes vary from region to region. Here, we examined seasonal and decadal changes in termini positions of seven tidewater glaciers in the inner part of Hornsund, the southernmost fjord of Spitsbergen (Svalbard Archipelago), based on a variety of data from 1992 to 2020. Combining satellite imagery, basic meteorological data (air temperature, positive degree day index (PDD), liquid precipitation), sea surface temperature (SST), mean temperature in the glacier forefield bays, fast sea ice cover, and bathymetry near the glacier front, we examined the influence of potential controlling parameters on interannual and seasonal variability of the glacier termini. We found regional synchrony between terminus advance/retreat and climate variables. At a regional scale, annual fluctuation changes are related to PDD and SST, while summer fluctuations are linked to PDD, although individual glaciers are shown to have differing sensitivities to potential climate drivers. We also found that the retreat period in Hornsund generally lasts from June to October‐December. Onset of the retreat is related to sea and air temperature, and in some cases follows the disappearance of the ice cover. These results indicate that the expected increase in meltwater runoff in Svalbard, the input of relatively warm Atlantic water to the fjord, and the increasing trend of longer summer and warmer winter periods will have implications for glacier velocity and frontal ablation.
Permafrost in monitored unstable rock slopes in Norway-New insights from temperature and surface velocity measurements, geophysical surveying, and ground temperature modelling Bernd Etzelmüller, Justyna Czekirda, Florence Magnin, Pierre-Allain Duvillard, Ludovic Ravanel, et al. Earth Surface Dynamics, 2022 The warming and subsequent degradation of mountain permafrost within alpine areas represent an important process influencing the stability of steep slopes and rock faces. The unstable and monitored slopes of Mannen (Møre and Romsdal county, southern Norway) and Gámanjunni-3 (Troms and Finnmark county, northern Norway) were classified as high-risk sites by the Norwegian Geological Survey (NGU). Failure initiation has been suggested to be linked to permafrost degradation, but the detailed permafrost distribution at the sites is unknown. Rock wall (RW) temperature loggers at both sites have measured the thermal regime since 2015, showing mean rock surface temperatures between 2.5 and −1.6 ∘C depending on site and topographic aspect. Between 2016 and 2019 we conducted 2D and 3D electrical resistivity tomography (ERT) surveys on the plateau and directly within the rock wall back scarp of the unstable slopes at both sites. In combination with geophysical laboratory analysis of rock wall samples from both sites, the ERT soundings indicate widespread permafrost areas, especially at Gámanjunni-3. Finally, we conducted 2D thermal modelling to evaluate the potential thermal regime, along with an analysis of available displacement rate measurements based on Global Navigation Satellite System (GNSS) and ground- and satellite-based interferometric synthetic aperture radar (InSAR) methods. Surface air and ground temperatures have increased significantly since ca. 1900 by 1 and 1.5 ∘C, and the highest temperatures have been measured and modelled since 2000 at both study sites. We observed a seasonality of displacement, with increasing velocities during late winter and early spring and the highest velocities in June, probably related to water pressure variations during snowmelt. The displacement rates of Gámanjunni-3 rockslide co-vary with subsurface resistivity and modelled ground temperature. Increased displacement rates seem to be associated with sub-zero ground temperatures and higher ground resistivity. This might be related to the presence of ground ice in fractures and pores close to the melting point, facilitating increased deformation. The study demonstrates and discusses the possible influence of permafrost, at least locally, on the dynamics of large rock slope instabilities.
Regional Morpho-Kinematic Inventory of Slope Movements in Northern Norway Line Rouyet, Karianne Staalesen Lilleøren, Martina Böhme, Louise Mary Vick, Reynald Delaloye, et al. Frontiers in Earth Science, 2021 Mountain slopes in periglacial environments are affected by frost- and gravity-driven processes that shape the landscape. Both rock glaciers and rockslides have been intensively inventoried worldwide. Although most inventories are traditionally based on morphologic criteria, kinematic approaches based on satellite remote sensing have more recently been used to identify moving landforms at the regional scale. In this study, we developed simplified Interferometric Synthetic Aperture Radar (InSAR) products to inventory ground velocity in a region in Northern Norway covering approximately 7,500 km2. We used a multiple temporal baseline InSAR stacking procedure based on 2015–2019 ascending and descending Sentinel-1 images to take advantage of a large set of interferograms and exploit different detection capabilities. First, moving areas are classified according to six velocity brackets, and morphologically associated to six landform types (rock glaciers, rockslides, glaciers/moraines, talus/scree deposits, solifluction/cryoturbation and composite landforms). The kinematic inventory shows that the velocity ranges and spatial distribution of the different types of slope processes vary greatly within the study area. Second, we exploit InSAR to update pre-existing inventories of rock glaciers and rockslides in the region. Landform delineations and divisions are refined, and newly detected landforms (54 rock glaciers and 20 rockslides) are incorporated into the databases. The updated inventories consist of 414 rock glacier units within 340 single- or multi-unit(s) systems and 117 rockslides. A kinematic attribute assigned to each inventoried landform documents the order of magnitude of the creep rate. Finally, we show that topo-climatic variables influence the spatial distribution of the rock glaciers. Their mean elevation increases toward the continental interior with a dominance of relict landforms close to the land-sea margin and an increased occurrence of active landforms further inland. Both rock glaciers and rockslides are mostly located on west-facing slopes and in areas characterised by strongly foliated rocks, which suggests the influence of geological preconditioning factors. The study demonstrates the value of semi-quantitative InSAR products to characterise kinematic information at large scale and exploit the results for periglacial research. It highlights the complementarity of both kinematic and morphologic approaches for inventorying slope processes.
Seasonal insar displacements documenting the active layer freeze and thaw progression in central-western spitsbergen, svalbard Guodong Zhang, Zhichao Xu, Feng Wang, Dongkai Yang, Jin Xing Remote Sensing, 2021 The elevation angle influence on coastal GNSS-R ocean code-based altimetry for GPS signals (L1 C/A and L5) and BDS B1 signals is investigated, and the corresponding correction method is presented. The study first focuses on the coastal ocean altimetry method, including the general experiment geometry and the code delay estimation using the single-point tracking algorithm. The peak power and the maximum first derivative are used as the location of the specular point. Then, the sensitivity of the height retrieved using the above coastal ocean altimetry method to elevation angle is analyzed based on the Z-V model. It can be seen that the elevation angle has a significant influence on the height retrieval, which will affect the precision of the coastal GNSS-R ocean altimetry. Finally, two correction methods, the model-driven method and the data-driven method, are proposed. The coastal altimetry experiments demonstrate that the correction methods can correct the elevation angle influence, and the data-driven method is more effective. The experimental results show that, after correcting the elevation angle influence, the code-based altimetry precision of the GPS L1 C/A signal, L5 signal, and BDS B1 signal can be up to the meter level, decimeter level (less than 4 decimeters), and meter level with respect to a reference tide gauge (TG) data set, respectively, without smoothing over time. These results provide information to guide the sea surface height retrieval using coastal GNSS-R, especially multi-satellite observation and GNSS signal with a higher chipping rate.
Environmental Controls of InSAR-Based Periglacial Ground Dynamics in a Sub-Arctic Landscape L. Rouyet, O. Karjalainen, P. Niittynen, J. Aalto, M. Luoto, et al. Journal of Geophysical Research Earth Surface, 2021 Periglacial environments are characterized by highly dynamic landscapes. Freezing and thawing lead to ground movement, associated with cryoturbation and solifluction. These processes are sensitive to climate change and variably distributed depending on multiple environmental factors. In this study, we used multi‐geometry Sentinel‐1 Synthetic Aperture Radar Interferometry (InSAR) to investigate the spatial distribution of the mean annual ground velocity in a mountainous landscape in Northern Norway. Statistical modeling was employed to examine how periglacial ground velocity is related to environmental variables characterizing the diverse climatic, geomorphic, hydrological and biological conditions within a 148 km2 study area. Two‐dimensional (2D) InSAR results document mean annual ground velocity up to 15 mm/yr. Vertical and horizontal velocity components in the East–West plane show variable spatial distribution, which can be explained by the characteristics of cryoturbation and solifluction operating differently over flat and sloping terrain. Statistical modeling shows that slope angle and mean annual air temperature variables are the most important environmental factors explaining the distribution of the horizontal and vertical components, respectively. Vegetation and snow cover also have a local influence, interpreted as indicators of the ground material and moisture conditions. The results show contrasted model performance depending on the velocity component used as a response variable. In general, our study highlights the potential of integrating radar remote sensing and statistical modeling to investigate mountainous regions and better understand the relations between environmental factors, periglacial processes and ground dynamics.
Sios’s earth observation (Eo), remote sensing (rs), and operational activities in response to covid-19 Shridhar D. Jawak, Bo N. Andersen, Veijo A. Pohjola, Øystein Godøy, Christiane Hübner, et al. Remote Sensing, 2021 Svalbard Integrated Arctic Earth Observing System (SIOS) is an international partnership of research institutions studying the environment and climate in and around Svalbard. SIOS is developing an efficient observing system, where researchers share technology, experience, and data, work together to close knowledge gaps, and decrease the environmental footprint of science. SIOS maintains and facilitates various scientific activities such as the State of the Environmental Science in Svalbard (SESS) report, international access to research infrastructure in Svalbard, Earth observation and remote sensing services, training courses for the Arctic science community, and open access to data. This perspective paper highlights the activities of SIOS Knowledge Centre, the central hub of SIOS, and the SIOS Remote Sensing Working Group (RSWG) in response to the unprecedented situation imposed by the global pandemic coronavirus (SARS-CoV-2) disease 2019 (COVID-19). The pandemic has affected Svalbard research in several ways. When Norway declared a nationwide lockdown to decrease the rate of spread of the COVID-19 in the community, even more strict measures were taken to protect the Svalbard community from the potential spread of the disease. Due to the lockdown, travel restrictions, and quarantine regulations declared by many nations, most physical meetings, training courses, conferences, and workshops worldwide were cancelled by the first week of March 2020. The resumption of physical scientific meetings is still uncertain in the foreseeable future. Additionally, field campaigns to polar regions, including Svalbard, were and remain severely affected. In response to this changing situation, SIOS initiated several operational activities suitable to mitigate the new challenges resulting from the pandemic. This article provides an extensive overview of SIOS’s Earth observation (EO), remote sensing (RS) and other operational activities strengthened and developed in response to COVID-19 to support the Svalbard scientific community in times of cancelled/postponed field campaigns in Svalbard. These include (1) an initiative to patch up field data (in situ) with RS observations, (2) a logistics sharing notice board for effective coordinating field activities in the pandemic times, (3) a monthly webinar series and panel discussion on EO talks, (4) an online conference on EO and RS, (5) the SIOS’s special issue in the Remote Sensing (MDPI) journal, (6) the conversion of a terrestrial remote sensing training course into an online edition, and (7) the announcement of opportunity (AO) in airborne remote sensing for filling the data gaps using aerial imagery and hyperspectral data. As SIOS is a consortium of 24 research institutions from 9 nations, this paper also presents an extensive overview of the activities from a few research institutes in pandemic times and highlights our upcoming activities for the next year 2021. Finally, we provide a critical perspective on our overall response, possible broader impacts, relevance to other observing systems, and future directions. We hope that our practical services, experiences, and activities implemented in these difficult times will motivate other similar monitoring programs and observing systems when responding to future challenging situations. With a broad scientific audience in mind, we present our perspective paper on activities in Svalbard as a case study.
Consistent ice and open water classification combining historical synthetic aperture radar satellite images from ERS-1/2, Envisat ASAR, RADARSAT-2 and Sentinel-1A/B A. Malin Johansson, Eirik Malnes, Sebastian Gerland, Anca Cristea, Anthony P. Doulgeris, et al. Annals of Glaciology, 2020 Synthetic Aperture Radar (SAR) satellite images are used to monitor Arctic sea ice, with systematic data records dating back to 1991. We propose a semi-supervised classification method that separates open water from sea ice and can utilise ERS-1/2, Envisat ASAR, RADARSAT-2 and Sentinel-1 SAR images. The classification combines automatic segmentation with a manual segment selection stage. The segmentation algorithm requires only the backscatter intensities and incidence angle values as input, therefore can be used to establish a consistent decadal sea ice record. In this study we investigate the sea ice conditions in two Svalbard fjords, Kongsfjorden and Rijpfjorden. Both fjords have a seasonal ice cover, though Rijpfjorden has a longer sea ice season. The satellite image dataset has weekly to daily records from 2002 until now, and less frequent records between 1991 and 2002. Time overlap between different sensors is investigated to ensure consistency in the reported sea ice cover. The classification results have been compared to high-resolution SAR data as well as in-situ measurements and sea ice maps from Ny-Ålesund. For both fjords the length of the sea ice season has shortened since 2002 and for Kongsfjorden the maximum sea ice coverage is significantly lower after 2006.
Learning Target Dynamics while Tracking Using Gaussian Processes Clas Veiback, Jonatan Olofsson, Tom Rune Lauknes, Gustaf Hendeby IEEE Transactions on Aerospace and Electronic Systems, 2020 Tracked targets often exhibit common behaviors due to influences from the surrounding environment, such as wind or obstacles, which are usually modeled as noise. Here, these influences are modeled using sparse Gaussian processes that are learned online together with the state inference using an extended Kalman filter. The method can also be applied to time-varying influences and identify simple dynamic systems. The method is evaluated with promising results in a simulation and a real-world application.
Integrating field mapping, satellite and ground based InSAR to understand the failure mechanism of Oksfjellet, northern Norway ISRM International Symposium Eurock 2020, 2020
Systematic mapping of large unstable rock slopes in norway Reginald L. Hermanns, Lars H. Blikra, Einar Anda, Aline Saintot, Halgeir Dahle, et al. Landslide Science and Practice Landslide Inventory and Susceptibility and Hazard Zoning, 2013
Landslide monitoring in western norway using high resolution terrasar-x and radarsat-2 insar Landslides and Engineered Slopes Protecting Society Through Improved Understanding Proceedings of the 11th International and 2nd North American Symposium on Landslides and Engineered Slopes 2012, 2012
Characterization of coherent scatterers in natural terrain using SAR polarimetry European Space Agency Special Publication ESA SP, 2007
A comparison of SBAS and PS ERS InSAR for subsidence monitoring in Oslo, Norway European Space Agency Special Publication ESA SP, 2006
A generic differential interferometric SAR processing system, with applications to land subsidence and snow-water equivalent retrieval European Space Agency Special Publication ESA SP, 2006
Long-term subsidence monitoring of city areas at nordic latitudes using ERS SAR data European Space Agency Special Publication ESA SP, 2004
RECENT SCHOLAR PUBLICATIONS
Brief Communication–InSAR Svalbard Ground Motion Service: Observing Surface Displacements in the High Arctic M Bredal, L Rouyet, L Wendt, H Hindberg, D Stødle, TR Lauknes, ... EGUsphere 2026, 1-12 , 2026 2026
InSAR Svalbard Ground Motion Service: Product Description and User Manual M Bredal, L Rouyet, L Wendt, H Hindberg, D Stødle, TR Lauknes, ... 2026
Remote Sensing of Sea Ice Drift and Ice–Ocean Interactions in the Arctic Ocean TR Lauknes, A Sivertsen, S Løkse, SN Anfinsen 2026 Ocean Sciences Meeting , 2026 2026
InSAR sensitivity to active layer ground ice content in Adventdalen, Svalbard L Wendt, L Rouyet, HH Christiansen, TR Lauknes, S Westermann The Cryosphere 20 (2), 1179-1197 , 2026 2026 Citations: 1
ARCANA: Integrating Aerial and Satellite Observations for Enhanced Maritime Navigation in Ice-Infested Arctic Waters TR Lauknes, S Løkse, SN Anfinsen, A Sivertsen AGU25 , 2025 2025
Assessing permafrost thawing hazard and risk for modern infrastructure and cultural heritage in Svalbard. L Rouyet, L Rubensdotter, IC Nicu, A Sinitsyn, HH Christiansen, ... Revista de Geomorfologie 27 , 2025 2025
ALOS-2 L-band InSAR for Ground Motion Mapping in Norway, with Focus on Landslides and Periglacial Processes TR Lauknes, L Rouyet, Y Larsen, H Hindberg, L Wendt, J Dehls, M Bredal AGU Fall Meeting Abstracts 2024 (122), GC51M-0122 , 2024 2024
Operationalising Ionospheric Corrections for InSAR Processing H Hindberg, L Macotela, J van Oostveen, TR Lauknes, Y Larsen, ... AGU Fall Meeting Abstracts 2024 (3522), G43B-3522 , 2024 2024
InSAR sensitivity to active layer ground ice content in Adventdalen, Svalbard L Wendt, L Rouyet, HH Christiansen, TR Lauknes, S Westermann EGUsphere 2024, 1-26 , 2024 2024 Citations: 3
Deliverable 1.1 New possibilities in research in the Arctic Ocean, outcome of workshop with Research Infrastructures. A Sundfjord, H Sagen, M Dzieciuch, L Freitag, C Lee, ... < bound method Organization. get_name_with_acronym of< Organization: EU Open … , 2024 2024
Iceberg Detection With RADARSAT-2 Quad-Polarimetric C -Band SAR in Kongsfjorden, Svalbard—Comparison With a Ground-Based Radar J Bailey, V Akbari, T Liu, TR Lauknes, A Marino IEEE Journal of Selected Topics in Applied Earth Observations and Remote … , 2024 2024 Citations: 6
The response of tidewater glacier termini positions in Hornsund (Svalbard) to climate forcing, 1992–2020 M Błaszczyk, M Moskalik, M Grabiec, J Jania, W Walczowski, ... Journal of Geophysical Research: Earth Surface 128 (5), e2022JF006911 , 2023 2023 Citations: 16
Strategies for Multi-Temporal InSAR Processing Using Large Stacks TR Lauknes, Y Larsen AGU Fall Meeting Abstracts 2022, G42D-0258 , 2022 2022
Observations of Sea Ice in the Arctic Using Multi-Sensor Data From Recent Scientific Cruises in the Arctic Ocean TR Lauknes, A Sivertsen, RO Rydeng Jenssen, D Petrocelli, T Hamre, ... AGU Fall Meeting Abstracts 2022, C22A-54 , 2022 2022
Permafrost in monitored unstable rock slopes in Norway–new insights from temperature and surface velocity measurements, geophysical surveying, and ground temperature modelling B Etzelmüller, J Czekirda, F Magnin, PA Duvillard, L Ravanel, E Malet, ... Earth Surface Dynamics 10 (1), 97-129 , 2022 2022 Citations: 38
Regional morpho-kinematic inventory of slope movements in northern Norway L Rouyet, KS Lilleøren, M Böhme, LM Vick, R Delaloye, B Etzelmüller, ... Frontiers in Earth Science 9, 681088 , 2021 2021 Citations: 20
Seasonal InSAR displacements documenting the active layer freeze and thaw progression in Central-Western Spitsbergen, Svalbard L Rouyet, L Liu, SM Strand, HH Christiansen, TR Lauknes, Y Larsen Remote Sensing 13 (15), 2977 , 2021 2021 Citations: 30
Environmental controls of InSAR‐based periglacial ground dynamics in a sub‐arctic landscape L Rouyet, O Karjalainen, P Niittynen, J Aalto, M Luoto, TR Lauknes, ... Journal of Geophysical Research: Earth Surface 126 (7), e2021JF006175 , 2021 2021 Citations: 29
SIOS’s earth observation (EO), remote sensing (RS), and operational activities in response to COVID-19 SD Jawak, BN Andersen, VA Pohjola, Ø Godøy, C Hübner, I Jennings, ... Remote Sensing 13 (4), 712 , 2021 2021 Citations: 16
Permafrost in monitored unstable rock slopes in Norway–new insights from rock wall temperature monitoring, geophysical surveying and numerical modelling B Etzelmüller Deutsche Nationalbibliothek , 2021 2021 Citations: 10
MOST CITED SCHOLAR PUBLICATIONS
The glaciers climate change initiative: Methods for creating glacier area, elevation change and velocity products F Paul, T Bolch, A Kääb, T Nagler, C Nuth, K Scharrer, A Shepherd, ... Remote Sensing of Environment 162, 408-426 , 2015 2015 Citations: 411
Detailed rockslide mapping in northern Norway with small baseline and persistent scatterer interferometric SAR time series methods TR Lauknes, AP Shanker, JF Dehls, HA Zebker, IHC Henderson, ... Remote Sensing of Environment 114 (9), 2097-2109 , 2010 2010 Citations: 194
InSAR Deformation Time Series Using an -Norm Small-Baseline Approach TR Lauknes, HA Zebker, Y Larsen IEEE transactions on geoscience and remote sensing 49 (1), 536-546 , 2010 2010 Citations: 172
Seasonal dynamics of a permafrost landscape, Adventdalen, Svalbard, investigated by InSAR L Rouyet, TR Lauknes, HH Christiansen, SM Strand, Y Larsen Remote Sensing of Environment 231, 111236 , 2019 2019 Citations: 159
Visualizing and interpreting surface displacement patterns on unstable slopes using multi-geometry satellite SAR interferometry (2D InSAR) HØ Eriksen, TR Lauknes, Y Larsen, GD Corner, SG Bergh, J Dehls, ... Remote Sensing of Environment 191, 297-312 , 2017 2017 Citations: 111
Surge dynamics in the Nathorstbreen glacier system, Svalbard M Sund, TR Lauknes, T Eiken The Cryosphere 8 (2), 623-638 , 2014 2014 Citations: 97
Recent acceleration of a rock glacier complex, Adjet, Norway, documented by 62 years of remote sensing observations HØ Eriksen, L Rouyet, TR Lauknes, I Berthling, K Isaksen, H Hindberg, ... Geophysical Research Letters 45 (16), 8314-8323 , 2018 2018 Citations: 95
Structurally controlled rock slope deformation in northern Norway LM Vick, M Böhme, L Rouyet, SG Bergh, GD Corner, TR Lauknes Landslides 17 (8), 1745-1776 , 2020 2020 Citations: 87
INSAR. No: A national insar deformation mapping/monitoring service in Norway--From concept to operations JF Dehls, Y Larsen, P Marinkovic, TR Lauknes, D Stødle, DA Moldestad IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium … , 2019 2019 Citations: 84
High quality InSAR data linked to seasonal change in hydraulic head for an agricultural area in the San Luis Valley, Colorado JA Reeves, R Knight, HA Zebker, WA Schreüder, P Shanker Agram, ... Water Resources Research 47 (12) , 2011 2011 Citations: 71
Space-borne and ground-based InSAR data integration: the Åknes test site F Bardi, F Raspini, A Ciampalini, L Kristensen, L Rouyet, TR Lauknes, ... Remote Sensing 8 (3), 237 , 2016 2016 Citations: 69
A generic differential interferometric SAR processing system, with applications to land subsidence and snow-water equivalent retrieval Y Larsen, G Engen, TR Lauknes, E Malnes, KA Høgda Fringe 2005 Workshop 610 , 2006 2006 Citations: 60
Active normal fault control on landscape and rock-slope failure in northern Norway PT Osmundsen, I Henderson, TR Lauknes, Y Larsen, TF Redfield, J Dehls Geology 37 (2), 135-138 , 2009 2009 Citations: 59
Evidence of rock slope breathing using ground-based InSAR L Rouyet, L Kristensen, MH Derron, C Michoud, LH Blikra, M Jaboyedoff, ... Geomorphology 289, 152-169 , 2017 2017 Citations: 47
Large slope deformations detection and monitoring along shores of the Potrerillos dam reservoir, Argentina, based on a small-baseline InSAR approach C Michoud, V Baumann, TR Lauknes, I Penna, MH Derron, M Jaboyedoff Landslides 13 (3), 451-465 , 2016 2016 Citations: 47
Systematic mapping of large unstable rock slopes in Norway RL Hermanns, LH Blikra, E Anda, A Saintot, H Dahle, T Oppikofer, ... Landslide science and practice: Volume 1: Landslide inventory and … , 2013 2013 Citations: 44
Fault-controlled alpine topography in Norway PT Osmundsen, TF Redfield, BHW Hendriks, S Bergh, JA Hansen, ... Journal of the Geological Society 167 (1), 83-98 , 2010 2010 Citations: 43
Permafrost in monitored unstable rock slopes in Norway–new insights from temperature and surface velocity measurements, geophysical surveying, and ground temperature modelling B Etzelmüller, J Czekirda, F Magnin, PA Duvillard, L Ravanel, E Malet, ... Earth Surface Dynamics 10 (1), 97-129 , 2022 2022 Citations: 38
A comparison of SBAS and PS ERS InSAR for subsidence monitoring in Oslo, Norway T Lauknes 2006 Citations: 38
Seasonal InSAR displacements documenting the active layer freeze and thaw progression in Central-Western Spitsbergen, Svalbard L Rouyet, L Liu, SM Strand, HH Christiansen, TR Lauknes, Y Larsen Remote Sensing 13 (15), 2977 , 2021 2021 Citations: 30
