4.7 Article

Monitoring surface deformation over permafrost with an improved SBAS-InSAR algorithm: With emphasis on climatic factors modeling

期刊

REMOTE SENSING OF ENVIRONMENT
卷 184, 期 -, 页码 276-287

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.rse.2016.07.019

关键词

Permafrost; Qinghai-Tibet Plateau; SBAS-InSAR; Climatic factors; Deformation model

资金

  1. State Key Development Program of Basic Research of China [2013CB733303]
  2. Nature Science Foundation of China [41404013, 41474007, 41404011, 41574005, 41222027]
  3. Hunan Provincial Natural Science Foundation of China [13JJ1006]
  4. Project of Innovation-driven Plan of Central South University [2016CX004]
  5. Fundamental Research Funds for the Central Universities of Central South University [2016zzts083]
  6. provision of the ENVISAT ASAR data, European Space Agency through ESA EO Project [14662]

向作者/读者索取更多资源

Changes of permafrost not only affect regional and global water circulation, carbon deposit and climate warming, but also influence ground ecological, geophysical, and biogeochemical processes in cold region. Monitoring surface deformation over permafrost will help to understand the dynamics of these processes, assess climate changes, and prevent potential damages to engineering structures underlain by permafrost. This article employs an improved small baseline subset lnterferometric Synthetic Aperture Radar (SBAS-InSAR) technique to monitor the surface deformation over the Danxiong-Yangbajing area in the southern Qinghai-Tibet Plateau (QTP), with emphasis on climatic factors modeling. A new deformation model considering both the external (mainly climatic) and internal factors (such as tectonic activities and thermal character of frozen soil) is constructed and introduced into the SBAS-InSAR to estimate the surface deformation over permafrost. The results show that the peak-to-peak annual deformation over natural surface is 3.6-5.0 cm, while that along the Qinghai-Tibet Highway (QTH) and the Qinghai-Tibet Railway (QTR) is 2.8-3.7 cm. We also find that the surface deformation over frozen soil is negatively correlated to air temperature and precipitation, with the correlation being -0.80 to -0.45 and -0.95 to -0.75, respectively. The root mean squares (RMSs) of the residual (un-modeled) deformation got by the proposed method are much smaller than that by the existing methods. We also successfully examine a time lag of about 60 days between the retrieved maximal subsidence and the highest air temperature in warm seasons (from May to September). After compensating for this time lag, the RMSs of the residual deformation reduce significantly and the correlation between the deformation and the temperature rises considerably, varying from -0.95 to -0.65. The method presented in this paper is more suitable to model and analyze the surface deformation in permafrost areas. (C) 2016 Elsevier Inc. All rights reserved.

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