Spectroscopy and Spectral Analysis, Volume. 42, Issue 5, 1614(2022)

Developing of Local Model From Soil Spectral Library With Spectral Dissimilarity

Qing-qing PENG1,*... Song-chao CHEN2,2;, Ming-hua ZHOU3,3; and Shuo LI1,1; *; |Show fewer author(s)
Author Affiliations
  • 11. Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan 430079, China
  • 22. ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou 311200, China
  • 33. Key Laboratory of Mountain Surface Processes and Ecological Regulation, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China
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    Figures & Tables(5)
    Locations of 677 sites from the Global Soil Spectral Library
    The scheme of calculating the spectral dissimilarity
    Averaged absorbance with standard deviation of SSL (a) and Test (b) and their eigenvectors of the first three PCs
    Prediction accuracies of 9 sample sizes of Local datasets and PCA plots developed by ED, MD, and SAM
    • Table 1. Statistics of SOC content in the Test and SSL datasets

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      Table 1. Statistics of SOC content in the Test and SSL datasets

      Data setSample sizeMinimum/%Maximum/%Mean/%Standard deviation/%Coefficient of variation/%
      Test5880.0114.281.131.78158
      SSL3 1670.0060.001.202.78232
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    Qing-qing PENG, Song-chao CHEN, Ming-hua ZHOU, Shuo LI. Developing of Local Model From Soil Spectral Library With Spectral Dissimilarity[J]. Spectroscopy and Spectral Analysis, 2022, 42(5): 1614

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    Paper Information

    Category: Research Articles

    Received: Aug. 25, 2021

    Accepted: --

    Published Online: Nov. 10, 2022

    The Author Email: PENG Qing-qing (1085873892@qq.com)

    DOI:10.3964/j.issn.1000-0593(2022)05-1614-06

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