• Spectroscopy and Spectral Analysis
  • Vol. 42, Issue 5, 1614 (2022)
Qing-qing PENG1、*, Song-chao CHEN2、2;, Ming-hua ZHOU3、3;, and Shuo LI1、1; *;
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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    DOI: 10.3964/j.issn.1000-0593(2022)05-1614-06 Cite this Article
    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 Copy Citation Text show less
    Locations of 677 sites from the Global Soil Spectral Library
    Fig. 1. Locations of 677 sites from the Global Soil Spectral Library
    The scheme of calculating the spectral dissimilarity
    Fig. 2. 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
    Fig. 3. 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
    Fig. 4. Prediction accuracies of 9 sample sizes of Local datasets and PCA plots developed by ED, MD, and SAM
    Data setSample sizeMinimum/%Maximum/%Mean/%Standard deviation/%Coefficient of variation/%
    Test5880.0114.281.131.78158
    SSL3 1670.0060.001.202.78232
    Table 1. Statistics of SOC content in the Test and SSL datasets
    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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