Advances in Earth Science ›› 2018, Vol. 33 ›› Issue (2): 141-151. doi: 10.11867/j.issn.1001-8166.2018.02.0141

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Study on Retrieving Key Ecological Parameters in Mountainous Regions by Remote Sensing Methods and Evaluating Their Spatio-temporal Representativeness

Ainong Li( ), Jinhu Bian, Gaofei Yin, Huaan Jin, Wei Zhao, Zhengjian Zhang, Xi Nan, Guangbin Lei   

  1. Research Center for Digital Mountain & Remote Sensing Application, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China
  • Received:2017-11-07 Revised:2018-01-10 Online:2018-02-20 Published:2018-04-02
  • About author:

    First author:Li Ainong (1974-), male, Lujiang County, Anhui Province, Professor. Research areas include mountain remote sensing and its integrated application.E-mail:ainongli@imde.ac.cn

  • Supported by:
    Project supported by the National Natural Science Foundation of China “A study on retrieving key ecological parameters in mountainous regions by remote sensing methods and evaluating their spatio-temporal representativeness”(No.41631180)

Ainong Li, Jinhu Bian, Gaofei Yin, Huaan Jin, Wei Zhao, Zhengjian Zhang, Xi Nan, Guangbin Lei. Study on Retrieving Key Ecological Parameters in Mountainous Regions by Remote Sensing Methods and Evaluating Their Spatio-temporal Representativeness[J]. Advances in Earth Science, 2018, 33(2): 141-151.

Focusing on the Key Project of National Natural Science Foundation of China “A study on retrieving key ecological parameters in mountainous regions by remote sensing methods and evaluating their spatio-temporal representativeness”, this paper introduced the project background, objectives, research status, the key scientific questions, main contents of the research, the overall methodology and the deliverables. Choosing different topographic gradient and vegetation background, this project will conduct researches on retrieving key ecological parameters such as LAI and NPP in mountainous areas, evaluating their spatio-temporal representativeness, analyzing the influence of complex terrain on remote sensing signals and the remote sensing products, and finally trying to make a breakthrough in the theory and methodology of ecological parameters retrieving in mountains area.

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