Abstract

The dynamic changes of the thawing and freezing processes of the active layer cause seasonal subsidence and uplift over a large area on the Qinghai–Tibet Plateau due to ongoing climate warming. To analyze and investigate the seasonal freeze–thaw process of the active layer, we employ the new small baseline subset (NSBAS) technique based on a piecewise displacement model, including seasonal deformation, as well as linear and residual deformation trends, to retrieve the surface deformation of the Beiluhe basin. We collect 35 Sentinel-1 images with a 12 days revisit time and 9 TerraSAR-X images with less-than two month revisit time from 2018 to 2019 to analyze the type of the amplitude of seasonal oscillation of different ground targets on the Beiluhe basin in detail. The Sentinel-1 results show that the amplitude of seasonal deformation is between −62.50 mm and 11.50 mm, and the linear deformation rate ranges from −24.50 mm/yr to 5.00 mm/yr (2018–2019) in the study area. The deformation trends in the Qinghai–Tibet Railway (QTR) and Qinghai–Tibet Highway (QTH) regions are stable, ranging from −18.00 mm to 6 mm. The InSAR results of Sentinel-1 and TerraSAR-X data show that seasonal deformation trends are consistent, exhibiting good correlations 0.78 and 0.84, and the seasonal and linear deformation rates of different ground targets are clearly different on the Beiluhe basin. Additionally, there are different time lags between the maximum freezing uplift or thawing subsidence and the maximum or minimum temperature for the different ground target areas. The deformation values of the alpine meadow and floodplain areas are higher compared with the alpine desert and barren areas, and the time lags of the freezing and thawing periods based on the Sentinel-1 results are longest in the alpine desert area, that is, 86 days and 65 days, respectively. Our research has important reference significance for the seasonal dynamic monitoring of different types of seasonal deformation and the extensive investigations of permafrost in Qinghai Tibet Plateau.

Highlights

  • The total area of permafrost on the Qinghai–Tibet plateau (QTP) is approximately 1.06 ± 0.09 km2 [1], which is the largest area of high-altitude discontinuous permafrost in the middle and low latitudesSensors 2020, 20, 4464; doi:10.3390/s20164464 www.mdpi.com/journal/sensorsSensors 2020, 20, 4464 of the world

  • The freeze–thaw cycles of the frozen soil in permafrost areas can lead to extensive surface deformation and seriously affects human engineering activities and infrastructure, such as the Qinghai–Tibet Railway (QTR) and Qinghai–Tibet Highway (QTH) [6,7,8]

  • We the new small baseline subset (NSBAS) method based on the deformation model, including seasonal and long-term deformation adopted the NSBAS method based on the deformation model, including seasonal and long-term changes, to retrieve the surface deformation of freeze–thaw cycles

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Summary

Introduction

The total area of permafrost on the Qinghai–Tibet plateau (QTP) is approximately 1.06 ± 0.09 km2 [1], which is the largest area of high-altitude discontinuous permafrost in the middle and low latitudesSensors 2020, 20, 4464; doi:10.3390/s20164464 www.mdpi.com/journal/sensorsSensors 2020, 20, 4464 of the world. The active layer can cause seasonal uplift and subsidence of the surface during freeze–thaw cycles. These phenomena will have important impacts on the formation of underground ice and organic carbon, water resources, ecology and even the global climate system in permafrost areas [5]. Traditional methods of deformation monitoring in frozen areas include drilling [9], Global Positioning System (GPS) [10], leveling, and ground penetrating radar (GPR) [11]. These measurements are usually sparse and unevenly distributed

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