• DocumentCode
    3024854
  • Title

    A new method to determine the freeze-thaw erosion

  • Author

    Linna Chai ; Lixin Zhang ; Zhenguo Hao ; Lingmei Jiang ; Shaojie Zhao ; Xiaokang Kou

  • Author_Institution
    State Key Lab. of Remote Sensing Sci., Jointly Sponsored by Beijing Normal Univ., Beijing, China
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    747
  • Lastpage
    750
  • Abstract
    Freeze-thaw erosion is the third largest soil erosion type after water erosion and wind erosion, which is a serious threat to agricultural land and various buildings, especially for water projects. In this paper, a new method based on the passive microwave remote sensing technique was proposed to classify and assess the freeze-thaw erosion. The core of this new method is at two important indices: the freeze-thaw cycling days per year, and the phase transition water content per day. The first index can be used to determine the freeze-thaw erosion region and the second index can be used to evaluate the degree of freeze-thaw erosion. The application of this new method in China shows good result. It indicates that the freeze-thaw erosion regions in China are mainly distributed in Tibet, Mongolia and the province of Qinghai, Xinjiang, Gansu, Sichuan and Heilongjiang. Furthermore, the comparably serious freeze-thaw erosion region is located in Tibet Plateau.
  • Keywords
    erosion; freezing; melting; microwave imaging; remote sensing; soil; China; Gansu; Heilongjiang; Mongolia; Qinghai; Sichuan; Tibet Plateau; Xinjiang; agricultural land; buildings; freeze-thaw cycling days; freeze-thaw erosion determination; passive microwave remote sensing technique; phase transition water content; soil erosion type; water projects; Indexes; Land surface; Microwave imaging; Microwave radiometry; Microwave theory and techniques; Soil; Temperature measurement; AMSR-E; Freeze-thaw; passive microwave remote sensing; soil erosion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6721265
  • Filename
    6721265