2021
DOI: 10.3389/feart.2021.750298
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Thermokarst Landscape Development Detected by Multiple-Geospatial Data in Churapcha, Eastern Siberia

Abstract: Thermokarst is a typical process that indicates widespread permafrost degradation in yedoma landscapes. The Lena-Aldan interfluvial area in Central Yakutia in eastern Siberia is now facing extensive landscape changes with surface subsidence due to thermokarst development during the past few decades. To clarify the spatial extent and rate of subsidence, multiple spatial datasets, including GIS and remote sensing observations, were used to analyze the Churapcha rural locality, which has a typical yedoma landscap… Show more

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Cited by 8 publications
(5 citation statements)
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“…The GSD in this paper is similar to the GSD of IWP areas monitored by Iijima et al [75]. Both theirs and ours have achieved a wide range of monitoring, and cannot achieve accuracy of a single IWP research.…”
Section: Gsd Of Ice-wedge Polygons (Iwps) and Permafrost Dynamicssupporting
confidence: 68%
See 1 more Smart Citation
“…The GSD in this paper is similar to the GSD of IWP areas monitored by Iijima et al [75]. Both theirs and ours have achieved a wide range of monitoring, and cannot achieve accuracy of a single IWP research.…”
Section: Gsd Of Ice-wedge Polygons (Iwps) and Permafrost Dynamicssupporting
confidence: 68%
“…Because ice wedges are typically developed near the top of attached permafrost, polygonal terrain is particularly susceptible to thermokarsting. Thermokarst ponding affects the permafrost terrains when the thawing of ice-rich permafrost and the ensued meltwater drainage and enhanced soil erosion causes the loss of structural integrity of IWPs and the subsequent collapse of the ground [11,[71][72][73][74][75].…”
Section: Changes In the Permafrost Environmentmentioning
confidence: 99%
“…Our InSAR processing procedures were similar to those used in previous studies (Abe et al., 2020; Iijima et al., 2021; Strozzi et al., 2018; Yanagiya & Furuya, 2020). We generated single‐look complex (SLC) data from ALOS‐2 level 1.1 data.…”
Section: Methodsmentioning
confidence: 99%
“…InSAR is a unique tool to examine surface displacement using two SAR images at different times with an accuracy of a few centimeters (Hanssen, 2001). InSAR has been used for detecting surface deformations related to permafrost such as seasonal freeze‐thaw cycles (e.g., Daout et al., 2017; Liu et al., 2010; Rouyet et al., 2019; Short et al., 2011; Strozzi et al., 2018), thermokarst (Abe et al., 2020; Antonova et al., 2018; Chen et al., 2018; Iijima et al., 2021; Liu et al., 2015), and wildfires (Iwahana et al., 2016; Liu et al., 2014; Michaelides et al., 2019; Molan et al., 2018; Yanagiya, 2022; Yanagiya & Furuya, 2020). L‐band InSAR is more suitable than C‐and X‐band InSAR to examine long‐term displacement such as thermokarst subsidence, with respect to coherence (Abe et al., 2020; Strozzi et al., 2018; Wang et al., 2017; Yanagiya, 2022; Yanagiya & Furuya, 2020).…”
Section: Methodsmentioning
confidence: 99%
“…RT lakes exhibited the strongest spatial clustering of the three lake types and these lakes frequently formed adjacent to roads and in recently cleared land. Removal of forest cover causes a rapid deepening of the active layer and can quickly induce permafrost thawing and thermokarst lake formation in areas of ice-rich permafrost [12,61]. Direct impacts of land cover removal and infrastructure development are usually limited to within 100 m of the disturbance, but the effects can last for decades despite revegetation [62].…”
Section: Recent Thermokarst Lake Dynamics and Environmental Variablesmentioning
confidence: 99%