Post-wildfire surface deformation near Batagay, Eastern Siberia, detected by L-band and C-band InSAR

Yanagiya, Kazuki; Furuya, Masato

doi:10.1002/essoar.10501390.2

Cited by 6 publications

(30 citation statements)

References 9 publications

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“…This is particularly true if one observation is made during late summer, when the thaw front is near its deepest extent. Finally, neither the Liu model (Liu et al., 2012 ) nor the model presented here explicitly consider late autumn refreeze and uplift of the active layer, which has been observed by both Global navigation satellite system and InSAR (Chen et al., 2020 ; Yanagiya & Furuya, 2020 ; Yufeng et al., 2018 ). When relying on SAR scenes acquired during autumn refreeze (unlike in the 2017 ABoVE campaign), an explicit treatment of surface uplift may also be necessary.…”

Section: Discussionmentioning

confidence: 96%

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Permafrost Dynamics Observatory—Part I: Postprocessing and Calibration Methods of UAVSAR L‐Band InSAR Data for Seasonal Subsidence Estimation

Michaelides

Chen

Zhao

et al. 2021

Earth and Space Science

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Section: Discussionmentioning

confidence: 96%

“…All rights reserved. nor the model presented here explicitly consider late Autumn refreeze and uplift of the active layer, which has been observed by both GNSS and InSAR (Yufeng et al, n.d.;Yanagiya & Furuya, 2020;J. Chen et al, 2020).…”

Section: Accepted Articlementioning

confidence: 99%

Permafrost Dynamics Observatory—Part I: Postprocessing and Calibration Methods of UAVSAR L‐Band InSAR Data for Seasonal Subsidence Estimation

Michaelides

Chen

Zhao

et al. 2021

Earth and Space Science

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“…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). On the contrary, C‐band SAR Sentinel‐1 has performed high‐frequency observations over the study area at an interval of 12 or 24 days, which enabled us to investigate seasonal thaw settlement and frost heave.…”

Section: Methodsmentioning

confidence: 99%

Ground Surface Displacement After a Forest Fire Near Mayya, Eastern Siberia, Using InSAR: Observation and Implication for Geophysical Modeling

Abe

Iwahana

Tadono

et al. 2022

Earth and Space Science

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Forest fires significantly impact permafrost degradation in the subarctic regions. However, interannual and seasonal variations in surface deformation due to permafrost thawing in burned areas were poorly understood. Measuring the ground surface displacement in fire scars helps us understand the freeze‐thaw dynamics of near‐surface ground and predict the future state, particularly in ice‐rich permafrost regions. This study used the L‐ and C‐band interferometric synthetic aperture radar technique to reveal interannual subsidence and seasonal thaw settlement/frost heave in a fire scar near Mayya, Sakha Republic in Eastern Siberia burned in 2013. We found that the cumulative subsidence was up to 7 cm between 2014 and 2020, most of which had occurred by 2016. The magnitude of seasonal thaw settlement and frost heave varied each year from 2017 to 2020 after the fire, but the interannual change in frost heave corresponded to the temporal variation in precipitation during the thawing season from 2017 to 2020. This suggests that the precipitation amount during the thawing season is related to the magnitude of segregation‐ice formation in the sediments, which determines the frost heave amount. The observed seasonal displacements could not be quantitatively explained by models inferred from the Stefan's equation and volume changes associated with ice‐water phase change. This implies that other models associated with segregated ice (ice lens) formation/thaw are required to explain the observed seasonal displacement.

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“…InSAR measures the ground deformation based on SAR phase differences between repeat passes. Time‐series InSAR analysis has been used to monitor the ground deformation in multiple geohazards, for example, landslides, volcanoes, wildfires, and groundwater depletion (e.g., Handwerger et al., 2019; Lu & Dzurisin, 2014; Shi et al., 2021; Yanagiya & Furuya, 2020). SAR coherence quantifies the phase stability and has been used to select persistent scatterers where the deformation measurements are more reliable (Massonnet & Feigl, 1998).…”

Section: Introductionmentioning

confidence: 99%

Machine‐Learning Estimation of Snow Depth in 2021 Texas Statewide Winter Storm Using SAR Imagery

Wang

et al. 2022

Geophysical Research Letters

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Climate change has been modifying our Earth system with an increasing number of extreme precipitation events, such as droughts, floods, tropical cyclones (hurricanes or typhoons), and winter storms (Stott, 2016). The National Oceanic and Atmospheric Administration (NOAA) reported 308 climate disasters in the U.S. from 1980 to 2021 that cost more than $2 trillion (US dollars) (NOAA, 2021; https://www.ncdc.noaa.gov/billions/). The 2000s witnessed 63 climate events with a loss of $538.7 billion and 3,091 deaths, and the 2010s experienced 123 climate events with a loss of $844.7 billion and 5,224 deaths (NOAA). In the past year of 2021, there have been 20 lethal climate disasters in the U.S. that claimed 688 lives, in which 14 events occurred around the western and southern coasts, including the winter storm Uri in February 2021. Informing the mitigation measures for extreme precipitation events has become an urgent socioeconomic mission.Winter storms are listed as one of the most catastrophic hazards in the U.S., especially to the agriculture, public health, transportation, and critical lifelines (Zhang & Liang, 2021). The mid-and high-latitude areas are more vulnerable to winter storms with high severity and frequency (Vose et al., 2014). Winter storm damage estimations often consider the precipitation distribution, intensity, frequency, wind, temperature, power outage, and death toll (e.g.,

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Post-wildfire surface deformation near Batagay, Eastern Siberia, detected by L-band and C-band InSAR

Cited by 6 publications

References 9 publications

Permafrost Dynamics Observatory—Part I: Postprocessing and Calibration Methods of UAVSAR L‐Band InSAR Data for Seasonal Subsidence Estimation

Permafrost Dynamics Observatory—Part I: Postprocessing and Calibration Methods of UAVSAR L‐Band InSAR Data for Seasonal Subsidence Estimation

Ground Surface Displacement After a Forest Fire Near Mayya, Eastern Siberia, Using InSAR: Observation and Implication for Geophysical Modeling

Machine‐Learning Estimation of Snow Depth in 2021 Texas Statewide Winter Storm Using SAR Imagery

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