JabRef references

Bernhard P, Haener D and Frey O (2024), "Detection of Railway Track Anomalies Using Interferometric Time Series of TerraSAR-X Satellite Radar Data", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Vol. 17, pp. 11750-11760. Institute of Electrical and Electronics Engineers (IEEE).

[BibTeX] [DOI]

BibTeX:

@article{bernhardHaenerFreyJSTARS2024DetectionOfRailwayTrackAnomaliesByPSIWithTerraSARX,
  author = {Bernhard, Philipp and Haener, David and Frey, Othmar},
  title = {Detection of Railway Track Anomalies Using Interferometric Time Series of TerraSAR-X Satellite Radar Data},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
  year = {2024},
  volume = {17},
  pages = {11750--11760},
  doi = {10.1109/jstars.2024.3405019}
}

Bertone A, Jones N, Mair V, Scotti R, Strozzi T and Brardinoni F (2024), "A climate-driven, altitudinal transition in rock glacier dynamics detected through integration of geomorphological mapping and synthetic aperture radar interferometry (InSAR)-based kinematics", Cryosphere. Vol. 18(5), pp. 2335-2356. Copernicus Publications.

[Abstract] [BibTeX] [DOI]

Abstract: In dry southwestern South Tyrol, Italy, rock glaciers are dominant landforms of the high-mountain cryosphere. Their spatial distribution and degree of activity hold critical information on the current state of discontinuous permafrost and consequently on the response potential to climate warming. Traditional geomorphologic mapping, however, owing to the qualitative expert-based nature, typically displays a high degree of uncertainty and variability among operators with respect to the dynamic classification of intact (permafrost-bearing) and relict (permafrost-devoid) rock glaciers. This limits the reliability of geomorphologic rock glacier inventories for basic and applied purposes. To address this limitation, (i) we conduct a systematic evaluation of the improvements that synthetic aperture radar interferometry (InSAR) can afford to the detection and dynamic classification of rock glaciers and (ii) build an integrated inventory that combines the strengths of geomorphologic-and InSAR-based approaches. To exploit fully InSAR-based information towards a better understanding of the topo-climatic conditions that sustain creeping permafrost, we further explore how velocity and the spatial distribution of moving areas (MAs) within rock glaciers may vary as a function of simple topographic variables known to exert first-order controls on incoming solar radiation, such as elevation and aspect. Starting from a geomorphologic inventory (nCombining double low line789), we characterize the kinematics of InSAR-based MAs and the relevant hosting rock glaciers on 36 Sentinel-1 interferograms in the 2018-2019 period. With respect to the original inventory, InSAR analysis allowed us to identify 14 previously undetected rock glaciers. Further, it confirmed that 246 (76g%) landforms, originally interpreted as intact, do exhibit detectable movement (i.e., â¥1gcmgyr-1) and that 270 (60g%) of the relict labeled counterparts do not, whereas 144 (18g%) were kinematically undefined due to decorrelation. Most importantly, InSAR proved critical for reclassifying 121 (15g%) rock glaciers, clarifying that 41 (13g%) of those interpreted as being intact do not exhibit detectable movement and that 80 (17g%) of the original relict ones do move. Reclassification (i) allowed us to identify a cluster of intact rock glaciers below 2000ga.s.l. associated with positive mean annual air temperature (MAAT), and (ii) by increasing the altitudinal overlap between intact and relict rock glaciers, it depicts a broad transition belt in the aspect-elevation space, which varies from 50gm on west-facing slopes to 500gm on easterly ones. This finding deteriorates the significance of elevation and aspect as topographic proxies for modeling permafrost occurrence and highlights the importance of using InSAR to inform such models. From a process-oriented standpoint, InSAR information proves fundamental for imaging how this altitudinal transition manifests through changing rates and styles of rock glacier surface deformation. Specifically, we find that, as rock glaciers move faster, an increasingly larger proportion of their surface becomes kinematically involved (i.e., percent MA cover) and that this proportion increases with elevation up to 2600-2800gm, beyond which an inflection occurs and consistent average values are attained. Considering that the inflection falls between the-1 and-2gÂ°C MAAT-the lower boundary for discontinuous permafrost-and is independent of slope gradient, we conclude that this altitudinal pattern represents a geomorphic signature: The dynamic expression of increasing permafrost distribution, from sporadic to discontinuous. Â© 2024 Copernicus Publications. All rights reserved.

BibTeX:

@article{Bertone2024,
  author = {Bertone, A. and Jones, N. and Mair, V. and Scotti, R. and Strozzi, T. and Brardinoni, F.},
  title = {A climate-driven, altitudinal transition in rock glacier dynamics detected through integration of geomorphological mapping and synthetic aperture radar interferometry (InSAR)-based kinematics},
  journal = {Cryosphere},
  publisher = {Copernicus Publications},
  year = {2024},
  volume = {18},
  number = {5},
  pages = {2335-2356},
  doi = {10.5194/tc-18-2335-2024}
}

Brangers I, Marshall H-P, De Lannoy G, Dunmire D, Mätzler C and Lievens H (2024), "Tower-based C-band radar measurements of an alpine snowpack", Cryosphere. Vol. 18(7), pp. 3177-3193. Copernicus Publications.

[Abstract] [BibTeX] [DOI]

Abstract: To better understand the interactions between C-band radar waves and snow, a tower-based experiment was set up in the Idaho Rocky Mountains for the period of 2021-2023. The experiment objective was to improve understanding of the sensitivity of Sentinel-1 C-band backscatter radar signals to snow. The data were collected in the time domain to measure the backscatter profile from the various snowpack and ground surface layers. The data show that scattering is present throughout the snow volume, although it is limited for low snow densities. Contrasting layer interfaces, ice features and metamorphic snow can have considerable impact on the backscatter signal. During snowmelt periods, wet snow absorbs the signal, and the soil backscatter becomes negligible. A comparison of the vertically integrated tower radar data with Sentinel-1 data shows that both systems have similar temporal behavior, and both feature an increase in backscatter during the dry-snow period in 2021-2022, even during weeks of nearly constant snow depth, likely due to morphological changes in the snowpack. The results demonstrate that C-band radar is sensitive to the dominant seasonal patterns in snow accumulation but that changes in microstructure, stratigraphy, melt-freeze cycles and snow wetness may complicate satellite-based snow depth retrievals. Â© Copyright:

BibTeX:

@article{Brangers2024,
  author = {Brangers, I. and Marshall, H.-P. and De Lannoy, G. and Dunmire, D. and Mätzler, C. and Lievens, H.},
  title = {Tower-based C-band radar measurements of an alpine snowpack},
  journal = {Cryosphere},
  publisher = {Copernicus Publications},
  year = {2024},
  volume = {18},
  number = {7},
  pages = {3177-3193},
  doi = {10.5194/tc-18-3177-2024}
}

Deeb E, Meehan T, Hoppinen Z, Werner C, Frey O, Forster R and LeWinter A (2024), "Use of mobile L-Band interferometric synthetic aperture radar observations to inform snow property estimation", In EGU General Assembly 2024, EGUsphere. , pp. EGU24-22452. Copernicus.

[BibTeX] [DOI]

BibTeX:

@conference{Deeb2024,
  author = {Deeb, Elias and Meehan, Tate and Hoppinen, Zach and Werner, Charles and Frey, Othmar and Forster, Richard and LeWinter, Adam},
  title = {Use of mobile L-Band interferometric synthetic aperture radar observations to inform snow property estimation},
  booktitle = {EGU General Assembly 2024, EGUsphere},
  publisher = {Copernicus},
  year = {2024},
  pages = {EGU24-22452},
  note = {EGU General Assembly 2024; Conference Location: Vienna, Austria; Conference Date: April 14-19, 2024; Poster presented on April 19, 2024},
  doi = {10.3929/ethz-b-000700486}
}

Dong W, Mitchard E, Santoro M, Chen M and Wheeler C (2024), "A new circa 2007 biomass map for China differs significantly from existing maps", Scientific Data. Vol. 11(1) Nature Research.

[Abstract] [BibTeX] [DOI]

Abstract: The forest area of China is the fifth largest of any country, and unlike in many other countries, in recent decades its area has been increasing. However, there are substantial differences in estimates of the amount of carbon this forest contains, ranging from 3.92 to 17.02 Pg C for circa 2007. This makes it unclear how the changes in Chinaâs forest area contribute to the global carbon cycle. We generate a circa 2007 aboveground biomass (AGB) map at a resolution of 50 m using optical, radar and LiDAR satellite data. Our estimates of total carbon stored in the forest in China was 9.52 Pg C, with an average forest AGB of 104 Mg haâ1. Compared with three existing AGB maps, our AGB map showed better correlation with a distributed set of forest inventory plots. In addition, our high resolution AGB map provided more details on spatial distribution of forest AGB, and is likely to help understand the carbon storage changes in Chinaâs forest. Â© The Author(s) 2024.

BibTeX:

@article{Dong2024,
  author = {Dong, W. and Mitchard, E.T.A. and Santoro, M. and Chen, M. and Wheeler, C.E.},
  title = {A new circa 2007 biomass map for China differs significantly from existing maps},
  journal = {Scientific Data},
  publisher = {Nature Research},
  year = {2024},
  volume = {11},
  number = {1},
  doi = {10.1038/s41597-024-03092-8}
}

Fransson J, Börnberg D, Holmström A, Lazo J, Löve W, Nilsson M, Salo J, Santoro M, Sertel E, Soomro S, Wallerman J, Ünsalan C and Zarins J (2024), "Applying Machine Learning for Forest Attribute Mapping in Latvia - Sharing Insights from the Swedish Approach", International Geoscience and Remote Sensing Symposium (IGARSS). , pp. 5320-5323. Institute of Electrical and Electronics Engineers Inc..

[Abstract] [BibTeX] [DOI]

Abstract: In this study, a novel approach to map forest attributes has been investigated for boreal forests in Sweden. The methodology relies on machine learning, utilizing a combination of remote sensing data and field data for both training and evaluating the proposed models. To ensure the accuracy in estimating forest attributes at any given time, the approach incorporates a broad range of available remote sensing data including airborne laser scanning (ALS) data, weekly satellite data from Sentinel-1 and Sentinel-2, and global forest map data. However, in this study focus has been on utilizing ALS data. The field data utilized in the study are derived from the Swedish National Forest Inventory and encompass measurements of key forest variables such as above-ground biomass, stem volume, basal area-weighted mean tree height, basal area-weighted mean diameter at breast height, and basal area. The potential of exporting knowledge gained from mapping Sweden to other forested landscapes such as in Latvia, using model updating with limited reference data from the new targeted area will be the next step to investigate. Here, data from Sweden were used to take the first steps towards developing a mapping methodology. The results demonstrate a promising potential of the proposed approach that will showcase new possibilities to share knowledge of updated forest mapping using the increasing flow of high-precision remote sensing data. Â© 2024 IEEE.

BibTeX:

@conference{Fransson2024,
  author = {Fransson, J.E.S. and Börnberg, D. and Holmström, A. and Lazo, J.F. and Löve, W. and Nilsson, M. and Salo, J. and Santoro, M. and Sertel, E. and Soomro, S. and Wallerman, J. and Ünsalan, C. and Zarins, J.},
  title = {Applying Machine Learning for Forest Attribute Mapping in Latvia - Sharing Insights from the Swedish Approach},
  journal = {International Geoscience and Remote Sensing Symposium (IGARSS)},
  publisher = {Institute of Electrical and Electronics Engineers Inc.},
  year = {2024},
  pages = {5320-5323},
  doi = {10.1109/IGARSS53475.2024.10641620}
}

Frey O, Werner C and Caduff R (2024), "Dual-frequency high-resolution mobile mapping of ground motion of the Brinzauls landslide in Switzerland with a car-based interferometric SAR system at L- and Ku-band", In EGU General Assembly 2024, EGUsphere., March, 2024. , pp. EGU24-17107. Copernicus.

[Abstract] [BibTeX] [DOI]

Abstract: Geohazards related to ground motion are widespread in mountainous regions. Time series of spaceborne SAR data are commonly used to retrieve maps of ground motion with extensive spatial coverage. However, there are situations where terrestrial radar systems are more suitable or even necessary for measuring ground motion. Such situations include slopes facing north or south, where the line of sight of current space-based SAR systems is nearly perpendicular to the prevalent direction of ground motion; slopes that lie in radar shadow or layover for current spaceborne SAR geometries; fast-moving landslides requiring shorter interferometric measurement intervals; and cases demanding higher spatial resolution or higher frequencies (e.g., Ku-band) with better sensitivity to line-of-sight motion.Terrestrial stationary radar/SAR systems, typically operating at Ku- or X-band, have been employed for many years to address these challenges. However, their limited synthetic aperture (or antenna size in the case of real-aperture radars) result in a constant angular resolution in the azimuth direction, leading to a reduced spatial azimuth resolution with increasing distance.Monitoring a landslide from a moving car or a UAV with a longer synthetic aperture allows using lower frequencies such as L-band, offering good spatial resolution at the meter level. Aperture synthesis from a car or UAV at higher frequencies (e.g., Ku-band) with smaller radar antennas can significantly improve the azimuth resolution to sub-meter or even decimeter level compared to stationary terrestrial radar systems which typically have azimuth resolutions in the order of 10m and more at range distances of several kilometers.In our previous work, we had demonstrated mobile mapping of ground motion using a compact repeat-pass L-band interferometric SAR system on a car and a UAV. Recently, a Ku-band SAR system (a modified version of the Gamma Portable Radar Interferometer (GPRI)) was added to the car-borne InSAR measurement setup. The new configuration allows simultaneous data acquisitions at both frequencies during repeat-pass SAR measurements while driving along a road.Frequency diversity proves to be advantageous in mountainous areas with varying land cover and motion processes with different velocities and scales. In this contribution, we present recent results from car-borne mobile mapping campaigns in the Swiss Alps showcasing the dual-frequency car-borne SAR setup (Gamma L-band SAR and modified GPRI at Ku-band). In particular, we present ground motion measurements of the Brinzauls landslide in Switzerland taken in fall 2023 at both frequencies, Ku- and L-band, and at different time intervals. The case study strikingly shows the complementary properties of the two frequencies in terms of sensitivity to motion and temporal decorrelation. The unprecedented high-resolution SAR imagery and interferograms obtained with the car-borne Ku-band SAR (decimeter-level azimuth resolution) allows discriminating different bodies of the landslide moving at different velocities in detail.

BibTeX:

@conference{Frey2024,
  author = {Frey, Othmar and Werner, Charles and Caduff, Rafael},
  title = {Dual-frequency high-resolution mobile mapping of ground motion of the Brinzauls landslide in Switzerland with a car-based interferometric SAR system at L- and Ku-band},
  booktitle = {EGU General Assembly 2024, EGUsphere},
  publisher = {Copernicus},
  year = {2024},
  pages = {EGU24-17107},
  note = {EGU General Assembly 2024; Conference Location: Vienna, Austria; Conference Date: April 14-19, 2024; Conference lecture held on April 16, 2024.},
  doi = {10.5194/egusphere-egu24-17107}
}

Frey O, Werner C and Caduff R (2024), "Simultaneous Car-Borne SAR Imaging at L-Band and Ku-Band for DInSAR-Based Mobile Mapping of Ground Motion in Alpine Terrain", In Proc. of EUSAR 2024 - 15th European Conference on Synthetic Aperture Radar. Munich, Germany, April, 2024. , pp. 1259-1264.

[Abstract] [BibTeX] [URL]

Abstract: In this contribution, we present high-resolution car-borne DInSAR imagery of a fast-moving landslide, simultaneously acquired at Ku-band and L-band. Recently, we have developed and implemented a car-borne and UAV-borne DInSAR end-to-end system at L-band also including INS/GNSS-based navigation, SAR focusing, and interferometric processing. Using this L-band SAR system we have demonstrated car-borne and UAV-borne measurements of ground motion at various sites. We then enhanced the car-based setup by adding a Ku-band SAR system alongside the Gamma L-Band SAR. In October 2023, we revisited the Brinzauls landslide in Switzerland, where we acquired high-resolution car-borne repeat-pass DInSAR data at Ku-band and L-band. This active landslide consists of various compartments with different kinematic behavior and with different land cover. Our car-borne DInSAR imagery obtained at Ku-band and L-band provides critical information at high spatial resolution to localize and distinguish landslide compartments moving at different velocities for a more detailed mapping of geological-kinematic features within the landslide.

BibTeX:

@inproceedings{freyEtAlEUSAR2024CarborneDInSARBrinzaulsKuAndLBand,
  author = {Othmar Frey and Charles Werner and Rafael Caduff},
  title = {Simultaneous Car-Borne SAR Imaging at L-Band and Ku-Band for DInSAR-Based Mobile Mapping of Ground Motion in Alpine Terrain},
  booktitle = {Proc. of EUSAR 2024 - 15th European Conference on Synthetic Aperture Radar},
  year = {2024},
  pages = {1259-1264},
  url = {https://www.gamma-rs.ch/uploads/media/freyEtAlEUSAR2024CarborneDInSARBrinzaulsKuAndLBand.pdf}
}

Frey O, Wiesmann A, Werner C, Caduff R, Löwe H and Jaggi M (2024), "High-resolution snow parameter/structure retrieval from tower-based radar time series of seasonal snow obtained with the ESA SnowScat and the ESA Wideband Scatterometer in SAR tomographic profiling mode", In EGU General Assembly 2024, EGUsphere. , pp. EGU24-17561. Copernicus.

[BibTeX] [DOI]

BibTeX:

@conference{Frey2024a,
  author = {Frey, Othmar and Wiesmann, Andreas and Werner, Charles and Caduff, Rafael and Löwe, Henning and Jaggi, Matthias},
  title = {High-resolution snow parameter/structure retrieval from tower-based radar time series of seasonal snow obtained with the ESA SnowScat and the ESA Wideband Scatterometer in SAR tomographic profiling mode},
  booktitle = {EGU General Assembly 2024, EGUsphere},
  publisher = {Copernicus},
  year = {2024},
  pages = {EGU24-17561},
  note = {EGU General Assembly 2024; Conference Location: Vienna, Austria; Conference Date: April 14-19, 2024; Conference lecture held on April 19, 2024},
  doi = {10.5194/egusphere-egu24-17561}
}

Heimpel M, Hajnsek I and Frey O (2024), "Altitude-Adaptive Coregistration for Differential SAR Tomography", In Proc. of EUSAR 2024 - 15th European Conference on Synthetic Aperture Radar. Munich, Germany, April, 2024. , pp. 757-762.

[BibTeX]

BibTeX:

@inproceedings{heimpelHajnsekFreyEUSAR2024TomoHeightDependentCoregMountainousAreas,
  author = {Magnus Heimpel and Irena Hajnsek and Othmar Frey},
  title = {Altitude-Adaptive Coregistration for Differential SAR Tomography},
  booktitle = {Proc. of EUSAR 2024 - 15th European Conference on Synthetic Aperture Radar},
  year = {2024},
  pages = {757-762}
}

Holmberg M, Lemmetyinen J, Schwank M, Kontu A, Rautiainen K, Merkouriadi I and Tamminen J (2024), "Retrieval of ground, snow, and forest parameters from space borne passive L band observations. A case study over Sodankylä, Finland", Remote Sensing of Environment. Vol. 306 Elsevier Inc..

[Abstract] [BibTeX] [DOI]

Abstract: Previous studies have indicated and shown the feasibility of retrieving snow density from ground based passive microwave measurements at the L band (1â2 GHz) from theoretical and experimental viewpoints. This paper expands the previous studies by presenting a case study of the retrieval problem with space borne brightness temperature measurements from the SMOS satellite over Sodankylä, Finland. To successfully retrieve snow density, also ground and forest parameters were included to the retrieval process. The retrieved variables were validated against in-situ ground, snow, and forest measurements made around the Sodankylä area over 12 winters from 2010 to 2022. A Bayesian framework was used to account for and quantify the uncertainties associated with the retrieval process. The results show good agreement between the retrieved ground and forest variables with the respective reference values. The snow density retrievals were seen to suffer from multiple sources of geophysical noise. However, the monthly average bulk snow density was successfully retrieved under stable midwinter conditions. The best agreement with the in-situ measurements was found for February, with a bias of -0.4 kg/m3, an unbiased root mean square difference of 12.2 kg/m3, and a correlation coefficient of 0.75. Â© 2024 The Author(s)

BibTeX:

@article{Holmberg2024,
  author = {Holmberg, M. and Lemmetyinen, J. and Schwank, M. and Kontu, A. and Rautiainen, K. and Merkouriadi, I. and Tamminen, J.},
  title = {Retrieval of ground, snow, and forest parameters from space borne passive L band observations. A case study over Sodankylä, Finland},
  journal = {Remote Sensing of Environment},
  publisher = {Elsevier Inc.},
  year = {2024},
  volume = {306},
  doi = {10.1016/j.rse.2024.114143}
}

Hong S-H, Werner C and Lee S-K (2024), "ALOS-2 Stripmap + ScanSAR MTInSAR for Ground Subsidence Monitoring", IEEE Geoscience and Remote Sensing Letters. Vol. 21, pp. 1-5. Institute of Electrical and Electronics Engineers Inc..

[Abstract] [BibTeX] [DOI]

Abstract: L-Band data from the PALSAR-2 instrument on the ALOS-2 satellite have been collected globally following the basic observation plan. The sparse archive of either Stripmap or ScanSAR mode data is often an obstacle to obtain an adequately sampled interferometric phase history for applying multitemporal synthetic aperture radar interferometry (MTInSAR). In this study, we evaluate the feasibility of ALOS-2 Stripmap + ScanSAR MTInSAR, using both acquisition modes, to enhance the small baseline subset (SBAS) network by filling temporal gaps. We combined 11 Stripmap and 21 ScanSAR acquisitions during 2015-2020 to monitor ground subsidence in Busan, South Korea. This improved the observation frequency, thereby reducing errors due to geometric and temporal decorrelation. Due to the differences in the azimuth spectral patterns, common-band filtering was not performed when processing the Stripmap + ScanSAR dataset. The subsidence pattern of the surface deformation time series derived from each acquisition mode appeared similar. Although the mean coherence of the Stripmap + ScanSAR (0.77) interferometric pairs was slightly lower than that of the Stripmap (0.83) and ScanSAR (0.84) only pairs, the standard deviation of the coherence in the Stripmap + ScanSAR dataset was the lowest. The mean difference in the displacement rate among the three datasets was 0.1 cm/year, with a standard deviation of 0.3-0.4 cm/year. The means of the standard deviation of the deformation, proportional to the residual phase in the time-series deformation of the Stripmap, ScanSAR, and Stripmap + ScanSAR dataset, were 0.7, 0.9, and 0.8 cm, respectively. The results show that the ALOS-2 Stripmap + ScanSAR SBAS applications provide a useful method to increase the frequency of observations and reduce errors in the deformation time series. Â© 2004-2012 IEEE.

BibTeX:

@article{Hong2024,
  author = {Hong, S.-H. and Werner, C. and Lee, S.-K.},
  title = {ALOS-2 Stripmap + ScanSAR MTInSAR for Ground Subsidence Monitoring},
  journal = {IEEE Geoscience and Remote Sensing Letters},
  publisher = {Institute of Electrical and Electronics Engineers Inc.},
  year = {2024},
  volume = {21},
  pages = {1-5},
  doi = {10.1109/LGRS.2023.3349302}
}

Hunka N, Duncanson L, Armston J, Dubayah R, Healey S, Santoro M, May P, Araza A, Bourgoin C, Montesano P, Neigh C, Grantham H, Potapov P, Turubanova S, Tyukavina A, Richter J, Harris N, Urbazaev M, Pascual A, Suarez D, Herold M, Poulter B, Wilson S, Grassi G, Federici S, Sanz M and Melo J (2024), "Intergovernmental Panel on Climate Change (IPCC) Tier 1 forest biomass estimates from Earth Observation", Scientific Data. Vol. 11(1) Nature Research.

[BibTeX] [DOI]

BibTeX:

@article{Hunka2024,
  author = {Hunka, N. and Duncanson, L. and Armston, J. and Dubayah, R. and Healey, S.P. and Santoro, M. and May, P. and Araza, A. and Bourgoin, C. and Montesano, P.M. and Neigh, C.S.R. and Grantham, H. and Potapov, P. and Turubanova, S. and Tyukavina, A. and Richter, J. and Harris, N. and Urbazaev, M. and Pascual, A. and Suarez, D.R. and Herold, M. and Poulter, B. and Wilson, S.N. and Grassi, G. and Federici, S. and Sanz, M.J. and Melo, J.},
  title = {Intergovernmental Panel on Climate Change (IPCC) Tier 1 forest biomass estimates from Earth Observation},
  journal = {Scientific Data},
  publisher = {Nature Research},
  year = {2024},
  volume = {11},
  number = {1},
  doi = {10.1038/s41597-024-03930-9}
}

Izumi Y, Nico G, Frey O, Baffelli S, Hajnsek I and Sato M (2024), "Kriging-Based Atmospheric Phase Screen Compensation Incorporating Time-Series Similarity in Ground-Based Radar Interferometry", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Vol. 17, pp. 17626-17636. Institute of Electrical and Electronics Engineers (IEEE).

[Abstract] [BibTeX] [DOI]

Abstract: Accuracy of radar interferometry is often hindered by the atmospheric phase screen (APS). To address this limitation, the geostatistical approach known as Kriging has been employed to predict APS from sparse observations for compensation purposes. In this article, we propose an enhanced Kriging approach to achieve more accurate APS predictions in ground-based radar interferometry applications. Specifically, the Kriging system is augmented with a time-series measure through correlation analysis, effectively leveraging spatio-temporal information for APS prediction. The validity of the introduced Kriging method in the APS compensation framework was tested with Ku-band ground-based radar datasets collected over two different mountainous sites. A comparison of this method with simple Kriging (SK) reveals a noticeable improvement in APS prediction accuracy and temporal phase stability.

BibTeX:

@article{izumiNicoFreyBaffelliHajnsekMotoyukiJSTARS2024KrigingBasedAtmosphericCompensationInGBInterferometry,
  author = {Izumi, Yuta and Nico, Giovanni and Frey, Othmar and Baffelli, Simone and Hajnsek, Irena and Sato, Motoyuki},
  title = {Kriging-Based Atmospheric Phase Screen Compensation Incorporating Time-Series Similarity in Ground-Based Radar Interferometry},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
  year = {2024},
  volume = {17},
  pages = {17626--17636},
  doi = {10.1109/jstars.2024.3469158}
}

Kneib M, Dehecq A, Brun F, Karbou F, Charrier L, Leinss S, Wagnon P and Maussion F (2024), "Mapping and characterization of avalanches on mountain glaciers with Sentinel-1 satellite imagery", Cryosphere. Vol. 18(6), pp. 2809-2830. Copernicus Publications.

[Abstract] [BibTeX] [DOI]

Abstract: Avalanches are important contributors to the mass balance of glaciers located in mountain ranges with steep topographies. Avalanches result in localized over-accumulation that is seldom accounted for in glacier models due to the difficulty of quantifying this contribution, let alone the occurrence of avalanches in these remote regions. Here, we developed an approach to semi-automatically map avalanche deposits over long time periods and at scales of multiple glaciers, utilizing imagery from Sentinel-1 synthetic aperture radar (SAR). This approach performs particularly well for scenes acquired in winter and in the morning but can also be used to identify avalanche events throughout the year. We applied this method to map 16 302 avalanche deposits over a period of 5 years at a 6 to 12 d interval over the Mt Blanc massif (European Alps), the Everest (central Himalaya) region, and the Hispar (Karakoram) region. These three survey areas are all characterized by steep mountain slopes but also present contrasting climatic characteristics. Our results enable the identification of avalanche hotspots on these glaciers and allow us to quantify the avalanche activity and its spatio-temporal variability across the three regions. The avalanche deposits are preferentially located at lower elevations relative to the hypsometry of the glacierized catchments and are also constrained to a smaller elevation range at the Asian sites, where they have a limited influence on their extensive debris-covered tongues. Avalanche events coincide with solid precipitation events, which explains the high avalanche activity in winter in the Mt Blanc massif and during the monsoon in the Everest region. However, there is also a time lag of 1â2 months, visible especially in the Everest region, between the precipitation and avalanche events, indicative of some snow retention on the mountain headwalls. This study therefore provides critical insights into these mass redistribution processes and tools to account for their influence on glacier mass balance. Â© Author(s) 2024.

BibTeX:

@article{Kneib2024,
  author = {Kneib, M. and Dehecq, A. and Brun, F. and Karbou, F. and Charrier, L. and Leinss, S. and Wagnon, P. and Maussion, F.},
  title = {Mapping and characterization of avalanches on mountain glaciers with Sentinel-1 satellite imagery},
  journal = {Cryosphere},
  publisher = {Copernicus Publications},
  year = {2024},
  volume = {18},
  number = {6},
  pages = {2809-2830},
  doi = {10.5194/tc-18-2809-2024}
}

Kumawat D, Ebtehaj A, Schwank M, Li X and Wigneron J-P (2024), "Global estimates of L-band vegetation optical depth and soil permittivity of snow-covered boreal forests and permafrost landscape using SMAP satellite data", Remote Sensing of Environment., May, 2024. Vol. 306(114145), pp. 1-17. Elsevier BV.

[BibTeX] [DOI]

BibTeX:

@article{kumawat2024global,
  author = {Kumawat, Divya and Ebtehaj, Ardeshir and Schwank, Mike and Li, Xiaojun and Wigneron, Jean-Pierre},
  title = {Global estimates of L-band vegetation optical depth and soil permittivity of snow-covered boreal forests and permafrost landscape using SMAP satellite data},
  journal = {Remote Sensing of Environment},
  publisher = {Elsevier BV},
  year = {2024},
  volume = {306},
  number = {114145},
  pages = {1-17},
  doi = {10.1016/j.rse.2024.114145}
}

Manconi A, Jones N, Loew S, Strozzi T, Caduff R and Wegmueller U (2024), "Monitoring surface deformation with spaceborne radar interferometry in landslide complexes: insights from the Brienz/Brinzauls slope instability, Swiss Alps", Landslides. Vol. 21(10), pp. 2519-2533. Springer Science and Business Media Deutschland GmbH.

[Abstract] [BibTeX] [DOI]

Abstract: We performed an extensive analysis of C-band SAR datasets provided by the European Space Agency (ESA) satellites ERS-1/2, Envisat ASAR, and Sentinel-1 in the period 1992â2020 aiming at reconstructing the multi-decadal spatial and temporal evolution of the surface displacements at the Brienz/Brinzauls landslide complex, located in canton GraubÃ¼nden (Switzerland). To this end, we analyzed about 1000 SAR images by applying differential interferometry (InSAR), multitemporal stacking, and persistent scatterer interferometry (PSI) approaches. Moreover, we jointly considered digital image correlation (DIC) on high-resolution multi-temporal digital terrain models (DTM) generated from airborne surveys and InSAR results to compute 3-D surface deformation fields. The extensive network of GNSS stations across the Brienz landslide complex allowed us to extensively validate the deformation results obtained in our remote sensing analyses. Here, we illustrate the limitations occurring when relying on InSAR and/or PSI measurements for the analysis and interpretation of complex landslide scenarios, especially in cases of relevant spatial and temporal heterogeneities of the deformation field. The joint use of InSAR and DIC can deliver a better picture of the evolution of the deformation field, however, not for all displacement components. Since InSAR, PSI and DIC measurements are nowadays routinely used in the framework of local investigations, as well as in regional, national, and/or continental monitoring programs, our results are of major importance for users aiming at a comprehensive understanding of these datasets in landslide scenarios. Â© The Author(s) 2024.

BibTeX:

@article{Manconi2024,
  author = {Manconi, A. and Jones, N. and Loew, S. and Strozzi, T. and Caduff, R. and Wegmueller, U.},
  title = {Monitoring surface deformation with spaceborne radar interferometry in landslide complexes: insights from the Brienz/Brinzauls slope instability, Swiss Alps},
  journal = {Landslides},
  publisher = {Springer Science and Business Media Deutschland GmbH},
  year = {2024},
  volume = {21},
  number = {10},
  pages = {2519-2533},
  doi = {10.1007/s10346-024-02291-z}
}

Nitze I, Van der Sluijs J, Barth S, Bernhard P, Huang L, Kizyakov A, Lara M, Nesterova N, Runge A, Veremeeva A, Ward Jones M, Witharana C, Xia Z and Liljedahl A (2024), "A Labeling Intercomparison of Retrogressive Thaw Slumps by a Diverse Group of Domain Experts", Permafrost and Periglacial Processes. John Wiley and Sons Ltd.

[Abstract] [BibTeX] [DOI]

Abstract: Deep-learning (DL) models have become increasingly beneficial for the detection of retrogressive thaw slumps (RTS) in the permafrost domain. However, comparing accuracy metrics is challenging due to unstandardized labeling guidelines. To address this, we conducted an experiment with 12 international domain experts from a broad range of scientific backgrounds. Using 3 m PlanetScope multispectral imagery, they digitized RTS footprints in two sites. We evaluated label uncertainty by comparing manually outlined RTS labels using Intersection-over-Union (IoU) and F1 metrics. At the Canadian Peel Plateau site, we see good agreement, particularly in the active parts of RTS. Differences were observed in the interpretation of the debris tongue and the stable vegetated sections of RTS. At the Russian Bykovsky site, we observed a larger mismatch. Here, the same differences were documented, but several participants mistakenly identified non-RTS features. This emphasizes the importance of site-specific knowledge for reliable label creation. The experiment highlights the need for standardized labeling procedures and definition of their scientific purpose. The most similar expert labels outperformed the accuracy metrics reported in the literature, highlighting human labeling capabilities with proper training, site knowledge, and clear guidelines. These findings lay the groundwork for DL-based RTS monitoring in the pan-Arctic. Â© 2024 The Author(s). Permafrost and Periglacial Processes published by John Wiley & Sons Ltd.

BibTeX:

@article{Nitze2024,
  author = {Nitze, I. and Van der Sluijs, J. and Barth, S. and Bernhard, P. and Huang, L. and Kizyakov, A. and Lara, M. and Nesterova, N. and Runge, A. and Veremeeva, A. and Ward Jones, M. and Witharana, C. and Xia, Z. and Liljedahl, A.},
  title = {A Labeling Intercomparison of Retrogressive Thaw Slumps by a Diverse Group of Domain Experts},
  journal = {Permafrost and Periglacial Processes},
  publisher = {John Wiley and Sons Ltd},
  year = {2024},
  doi = {10.1002/ppp.2249}
}

Santoro M, Cartus O, Antropov O and Miettinen J (2024), "Estimation of Forest Growing Stock Volume with Synthetic Aperture Radar: A Comparison of Model-Fitting Methods", Remote Sensing. Vol. 16(21)