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Monitoring displacement of Laohugou glacier No. 12 based on Landsat 8 and TerraSAR-X images

  • role： First author第一作者
  • Affiliation：

    College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China

  • Email：xiaobozhang1989@hotmail.com
  • Introduction：张晓博(1989—　)，女，博士研究生，研究方向为InSAR技术和地表形变监测。E-mail：xiaobozhang1989@hotmail.com
Xiaobo ZHANG1,  
  • Affiliation：

    College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China

Xuesheng ZHAO1,  
  • Affiliation：

    China Aero Geophysical Survey and Remote Sensing for Land and Resources, Beijing 100083, China

Daqing GE2,  
  • Affiliation：

    China Aero Geophysical Survey and Remote Sensing for Land and Resources, Beijing 100083, China

Bin LIU2,  
  • Affiliation：

    China Aero Geophysical Survey and Remote Sensing for Land and Resources, Beijing 100083, China

Ling ZHANG2,  
  • Affiliation：

    China Aero Geophysical Survey and Remote Sensing for Land and Resources, Beijing 100083, China

Man LI2,  
  • Affiliation：

    China Aero Geophysical Survey and Remote Sensing for Land and Resources, Beijing 100083, China

Yan WANG2

resumen

The flow velocity of a glacier is not uniform in time and space. Thus, the flow characteristics of glaciers should be detected to fully monitor their situation through satellite images. In this study, we use the Normalized Cross Correlation (NCC) algorithm and the intensity tracking method to study the spatial distribution characteristics of Laohugou glacier No. 12 in Gansu province, to explore the relationship between glacier flow velocity and temperature, and to evaluate error sources and precision using Landsat 8 and SAR images. The flow velocities of different seasons between 2014 and 2016 are obtained from Landsat 8 images in the NCC registration algorithm. The land surface temperature is inversed from the TIRS band. Flow velocities from April to October 2008 are retrieved from TerraSAR-X images under an intensity tracking method. Results of the two types of data show that the velocity at the glacier terminal is lower than that in the central area and that it decreases from the axis to both sides. Flow velocity is faster in summer than in winter, and its trend is consistent with temperature changes. Moreover, the velocity at the west branch is relatively large, and the maximum velocities extracted from Landsat 8 and TerraSAR-X are 2.56 m·d-1 and 2.74 m·d-1, respectively. Finally, the reliability of monitoring glacier flow based on the two types of data is demonstrated by using the mean and standard deviation in the stable zones. Considering these values, we find that the velocity accuracy for Landsat 8 is between 1 and 9 cm·d-1 and that it is better than the other type of data by approximately 2 cm·d-1. Our methods can effectively monitor glacier flow conditions, and reliability evaluation shows that the velocity accuracy is up to several centimeters per day. The comparisons indicate that radar images are especially sensitive to surface deformation due to their high spatial resolution. The SNR of optical images is also relatively high to improve integrity. Therefore, the two types of data can be used in combination to extract glacier flow information comprehensively.

palabra clave

glacier motion;NCC ( Normalized Cross Correlation);image registration;Landsat 8;TerraSAR-X

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