Near-surface freeze/thaw state mapping over Tibetan Plateau

  • role: First author第一作者
  • Affiliation:

    Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou730000, China

    State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

    University of Chinese Academy of Sciences, Beijing100049, China

  • Email:zhangziqian17@mails.ucas.ac.cn
  • Introduction:张子谦,1995年生,男,硕士研究生,研究方向为微波遥感理论及应用。E-mail: zhangziqian17@mails.ucas.ac.cn
ZHANG Ziqian123,  
  • role: Corresponding author通信作者
  • Affiliation:

    State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

  • Email:zhaotj@aircas.ac.cn
  • Introduction:赵天杰,1985年生,男,副研究员,研究方向为微波遥感理论及应用。E-mail: zhaotj@aircas.ac.cn
ZHAO Tianjie2*,  
  • Affiliation:

    State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

SHI Jiancheng2,  
  • Affiliation:

    Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou730000, China

LI Yulin1,  
  • Affiliation:

    Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou730000, China

RAN Youhua1,  
  • Affiliation:

    Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing100101, China

CHEN Yingying4,  
  • Affiliation:

    State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

ZHAO Shaojie5,  
  • Affiliation:

    State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

WANG Jian6,  
  • Affiliation:

    Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou730000, China

    University of Chinese Academy of Sciences, Beijing100049, China

NING Zhiying13,  
  • Affiliation:

    Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou730000, China

    University of Chinese Academy of Sciences, Beijing100049, China

YANG Hongling13,  
  • Affiliation:

    Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou730000, China

    University of Chinese Academy of Sciences, Beijing100049, China

HAN Dan13

ملخص

The Tibetan Plateau (TP) area is recognized as the “Water Tower of Asia” owing to its significant climatic and hydrological characteristics. However, land surface freeze/thaw transition can hardly be detected in this area because of its harsh and complex geographical environment. This study intends to establish an algorithm to identify near-surface freeze/thaw state using the AMSR-2 satellite data, including discrimination function and seasonal threshold. The 6.925 GHz horizontal polarization Quasi-emissivity with high sensitivity to near-surface freeze/thaw cycle should replace the relative Frost Factor (FFrel). To minimize the effect of small-scale threshold selection, Min-Max normalization can be replaced with a new normalization method, namely, standard deviation normalization method. The parameterization of the discrimination function algorithm to the TP area is proposed to improve algorithm accuracy using four soil moisture and temperature dense observation network data.Results reveal that the classification accuracy of the discriminant function algorithm exhibits the most advantage during ascend period. In addition, this algorithm reduces misclassification points due to complex changes of surface emissivity during summer. The seasonal threshold algorithm based on the standard deviation normalization method shows optimum performance during descend period. Moreover, the amplitude of surface emissivity (initial liquid water content) exhibits an important influence on the algorithm accuracy.

مفهوم

remote sensing;Tibetan Plateau;soil freeze/thaw;microwave remote sensing;AMSR-2;discriminant function algorithm;seasonal threshold algorithm

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