Comparison of ALOS PALSAR interferometry and field geodetic leveling for marshy soil thaw/freeze monitoring, case study from the Baikal lake region, Russia

Чимитдоржиев, Т. Н.; Dagurov, P. N.; Быков, М Е; Дмитриев, А. В.; Kirbizhekova, Irina

doi:10.1117/1.jrs.10.016006

Cited by 11 publications

(4 citation statements)

References 27 publications

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“…The subsidence values are similar to those on the ice-rich Eboling Mountain in the northeastern region of the Tibetan Plateau [28], and those in the Hohxil region from Wudaoliang to Tuotuohe [29]. In comparison to other permafrost areas in Arctic and subarctic regions [18][19][20][22][23][24]27,30,46,47,54,55,[57][58][59][60][61][62][63][64][65][66][67][68][69], generally, the seasonal deformation value on the Tibetan Plateau is smaller, but the intra-annual subsidence rate is not a small value. (3) We compared two important deformation indices over permafrost terrain, i.e., longterm deformation trend and seasonal deformation magnitude, derived by direct calculation of deformation time series and model approximations using the sinusoidal and degree-day models.…”

Section: Discussionmentioning

confidence: 61%

Permafrost Ground Ice Melting and Deformation Time Series Revealed by Sentinel-1 InSAR in the Tanggula Mountain Region on the Tibetan Plateau

et al. 2022

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In this study, we applied small baseline subset-interferometric synthetic aperture radar (SBAS-InSAR) to monitor the ground surface deformation from 2017 to 2020 in the permafrost region within an ~400 km × 230 km area covering the northern and southern slopes of Mt. Geladandong, Tanggula Mountains on the Tibetan Plateau. During SBAS-InSAR processing, we inverted the network of interferograms into a deformation time series using a weighted least square estimator without a preset deformation model. The deformation curves of various permafrost states in the Tanggula Mountain region were revealed in detail for the first time. The study region undergoes significant subsidence. Over the subsiding terrain, the average subsidence rate was 9.1 mm/a; 68.1% of its area had a subsidence rate between 5 and 20 mm/a, while just 0.7% of its area had a subsidence rate larger than 30 mm/a. The average peak-to-peak seasonal deformation was 19.7 mm. There is a weak positive relationship (~0.3) between seasonal amplitude (water storage in the active layer) and long-term deformation velocity (ground ice melting). By examining the deformation time series of subsiding terrain with different subsidence levels, we also found that thaw subsidence was not restricted to the summer and autumn thawing times but could last until the following winter, and in this circumstance, the winter uplift was greatly weakened. Two import indices for indicating permafrost deformation properties, i.e., long-term deformation trend and seasonal deformation magnitude, were extracted by direct calculation and model approximations of deformation time series and compared with each other. The comparisons showed that the long-term velocity by different calculations was highly consistent, but the intra-annual deformation magnitudes by the model approximations were larger than those of the intra-annual highest-lowest elevation difference. The findings improve the understanding of deformation properties in the degrading permafrost environment.

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Section: Discussionmentioning

confidence: 61%

Permafrost Ground Ice Melting and Deformation Time Series Revealed by Sentinel-1 InSAR in the Tanggula Mountain Region on the Tibetan Plateau

et al. 2022

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“…Global products have been developed using active microwave data, such as from the Advanced Scatterometer (ASCAT; Naeimi et al, ), or passive microwave data at either high frequencies (e.g., 37‐GHz records from SMMR, SSMI, and SSMIS at 25‐km resolution from 1970 to 2016 (Kim et al, ) and 19‐ to 37‐GHz records from AMSR‐E and AMSR2) or very low frequencies (L band; 1.4 GHz) with the Soil Moisture and Ocean Salinity (SMOS 35‐ to 50‐km resolution; Rautiainen et al, ) and Soil Moisture Active Passive (SMAP 3‐ to 9‐km resolution; Dunbar et al, ; Derksen et al, ) missions. Additionally, many studies are concentrating on regional scale freeze/thaw detection using both high spatial resolution SAR instruments and lower resolution radiometers and scatterometers (Chimitdorzhiev et al, ; Colliander et al, ; Du et al, ; Du et al, ; Jagdhuber et al, ; Podest et al, ; Roy et al, ; Xu et al, ). The L‐band missions, SMOS (2010‐present), Aquarius (2011–2015) and SMAP (2015‐present), have shown the greatest potential for monitoring the surface soil state globally (Brucker et al, , b; Roy et al, ; Rautiainen et al, ; Derksen et al, ).…”

Section: Observing Properties Of the Abz Landmentioning

confidence: 99%

Space‐Based Observations for Understanding Changes in the Arctic‐Boreal Zone

Duncan

Ott

Abshire

et al. 2020

Reviews of Geophysics

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Observations taken over the last few decades indicate that dramatic changes are occurring in the Arctic‐Boreal Zone (ABZ), which are having significant impacts on ABZ inhabitants, infrastructure, flora and fauna, and economies. While suitable for detecting overall change, the current capability is inadequate for systematic monitoring and for improving process‐based and large‐scale understanding of the integrated components of the ABZ, which includes the cryosphere, biosphere, hydrosphere, and atmosphere. Such knowledge will lead to improvements in Earth system models, enabling more accurate prediction of future changes and development of informed adaptation and mitigation strategies. In this article, we review the strengths and limitations of current space‐based observational capabilities for several important ABZ components and make recommendations for improving upon these current capabilities. We recommend an interdisciplinary and stepwise approach to develop a comprehensive ABZ Observing Network (ABZ‐ON), beginning with an initial focus on observing networks designed to gain process‐based understanding for individual ABZ components and systems that can then serve as the building blocks for a comprehensive ABZ‐ON.

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“…The deformation is usually measured “in situ” by leveling (Chimitdorzhiev et al., 2016), differential global positioning system (DGPS; Streletskiy et al., 2017), Linear Variable Differential Transformer (LVDT)‐based measurements (Harris et al., 2007), thaw‐tubes (Mollinga et al., 2007; Antonova et al., 2018). Leveling is the direct and reliable method of elevation measurement, widely used in road maintenance and engineering construction in cold areas.…”

Section: Introductionmentioning

confidence: 99%

Intra‐Annual Ground Surface Deformation Detected by Site Observation, Simulation and InSAR Monitoring in Permafrost Site of Xidatan, Qinghai‐Tibet Plateau

Liu

Zhao

Wang

et al. 2022

Geophysical Research Letters

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Permafrost is defined as a thickness of soil or other superficial deposit, or even of bedrock, at a variable depth beneath the surface of the earth in which a temperature below freezing has existed continuously for two or more consecutive years (Washburn, 1979). The active layer is the soil layer above the permafrost, which freezes and thaws seasonally (Romanovsky & Osterkamp, 1995). The density difference between water and ice causes a periodic seasonal upward and downward ground motion; with climate warming, thawing of the permafrost results in long-term thaw settlement. The seasonal deformation varies spatially and temporally depending on the hydrothermal state and underlying surface (

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Comparison of ALOS PALSAR interferometry and field geodetic leveling for marshy soil thaw/freeze monitoring, case study from the Baikal lake region, Russia

Cited by 11 publications

References 27 publications

Permafrost Ground Ice Melting and Deformation Time Series Revealed by Sentinel-1 InSAR in the Tanggula Mountain Region on the Tibetan Plateau

Permafrost Ground Ice Melting and Deformation Time Series Revealed by Sentinel-1 InSAR in the Tanggula Mountain Region on the Tibetan Plateau

Space‐Based Observations for Understanding Changes in the Arctic‐Boreal Zone

Intra‐Annual Ground Surface Deformation Detected by Site Observation, Simulation and InSAR Monitoring in Permafrost Site of Xidatan, Qinghai‐Tibet Plateau

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