Advances in Earth Science ›› 2021, Vol. 36 ›› Issue (12): 1215-1223. doi: 10.11867/j.issn.1001-8166.2022.003

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On the Construction of China's Fiducial Reference Measurement Network for Land Surface Remote Sensing Product Validation

Hongliang FANG 1 , 12( ), Tao CHE 2 , 12, Rui JIN 2 , 12, Ainong LI 3 , 4, Xin LI 5 , 12, Zengyuan LI 6 , 7, Shaomin LIU 8, Mingguo MA 9 , 10, Qing XIAO 11 , 12, Yongguang ZHANG 13   

  1. 1.State Key Laboratory of Resources and Environment Information System,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China
    2.Heihe Remote Sensing Experimental Research Station,Key Laboratory of Remote Sensing of Gansu Province,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China
    3.Research Center for Digital Mountain and Remote Sensing Application,Institude of Mountain Hazard and Environment,Chinese Academy of Sciences,Chengdu 610041,China
    4.Wanglang Mountain Remote Sensing Observation and Research Station of Sichuan Province,Mianyang Sichuan 621000,China
    5.Institute of Tibetan Plateau Research,Chinese Academy of Sciences,Beijing 100101,China
    6.Institute of Forest Resource Information Techniques,Chinese Academy of Forestry,Beijing 100091,China
    7.Key Laboratory of Forestry Remote Sensing and Information System,National Forestry and Grassland Administration,Beijing 100091,China
    8.State Key Laboratory of Earth Surface Processes and Resource Ecology,Faculty of Geographical Science,Beijing Normal University,Beijing 100875,China
    9.Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station,School of Geographical Sciences,Southwest University,Chongqing 400715,China
    10.Chongqing Engineering Research Center for Remote Sensing Big Data Application,School of Geographical Sciences,Southwest University,Chongqing 400715,China
    11.State Key Laboratory of Remote Sensing Science,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100101,China
    12.University of Chinese Academy of Sciences,Beijing 100049,China
    13.International Institute for Earth System Science,Nanjing University,Nanjing 210023,China
  • Received:2021-06-18 Revised:2021-11-17 Online:2021-12-10 Published:2022-01-20
  • About author:FANG Hongliang (1971-), male, Chun'an County, Zhejiang Province, Professor. Research areas include land surface biophysical parameter estimation, radiative transfer modellings, calibration and validation studies, and in situ measurements. E-mail:

Hongliang FANG, Tao CHE, Rui JIN, Ainong LI, Xin LI, Zengyuan LI, Shaomin LIU, Mingguo MA, Qing XIAO, Yongguang ZHANG. On the Construction of China's Fiducial Reference Measurement Network for Land Surface Remote Sensing Product Validation[J]. Advances in Earth Science, 2021, 36(12): 1215-1223.

A series of land surface parameter products have been generated by various satellite remote sensing data over the globe. These products have been widely applied in Earth system science research and national decision-making support. In order to make better use of these products, it is necessary to understand the quality and accuracy information of the products. The purpose of land surface validation is to provide an independent assessment of the accuracy of the remote sensing products with land surface reference measurements. Fiducial Reference Measurement (FRM) provides independent, standard and regular field measurements, which are indispensable for the validation of land surface remote sensing products. FRM data are of profound significance for understanding the history, present conditions and future changes of the land surface system. This paper started with a brief overview of recent advancement in the construction of surface reference networks over the globe and analyzed the construction of the validation networks for land surface remote sensing products in China. Based on the overview, the paper put forward the basic ideas on building a FRM for the validation of land surface remote sensing products in China. The design scheme, station selection, instrument selection, organization and management of the FRM were described. Combining the land surface FRM with atmospheric, oceanic, altimetry and earth gravity FRMs, a national FRM framework can be constructed. In addition, a national land surface supersite network, with multiple observed variables at each site, can be built out of existing core sites and FRM sites. Construction of the national land surface FRM will greatly help the validation of remote sensing products, facilitate Earth system science studies, and improve serving the decision support with remote sensing products.

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