Laser & Optoelectronics Progress, Volume. 62, Issue 12, 1228004(2025)

Estimation of Soil Organic Carbon Content in Farmland Based on Sentinel-2 Imagery: Case Study of a Typical Area in the Huangshui River Basin

Chengzhuo Yin1,2, Xiaohong Gao1,2、*, Qi Song1,2, and Yanjun Huang1,2
Author Affiliations
  • 1Key Laboratory of Tibetan Plateau Land Surface Processes and Ecological Conservation (Ministry of Education), Qinghai Normal University, Xining 810008, Qinghai , China
  • 2Qinghai Provincial Key Laboratory of Physical Geography and Environmental Process, College of Geographical Science, Qinghai Normal University, Xining 810008, Qinghai , China
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    Figures & Tables(11)
    Overview of the study area and distribution of sampling points
    Soil primary spectra obtained by different methods. (a) Laboratory-measured primary spectra; (b) field-measured in situ primary spectra; (c) Sentinel-2 primary spectra
    Reflectance curves of indoor spectra for soil after different mathematical transformations. (a) FD; (b) SNV; (c) Log; (d) SG
    Correlation coefficient curves for SOC content with spectra transformed by different methods. (a) RSR; (b) FD; (c) Log; (d) SNV; (e) SG
    Accuracies comparison of different combination models. Modeling results of field-measured in situ spectra by (a) XGBoost, (b) RF, and (c) PLSR; modeling results of indoor spectra by (d) XGBoost, (e) RF, and (f) PLSR; modeling results of Sentinel-2 spectra by (g) XGBoost, (h) RF, and (i) PLSR
    Scatter plots of measured values and predicted values for combination models after characteristic band selected for spectra with FD transform. Modeling results of field-measured in situ spectra by (a) XGBoost, (b) RF, and (c) PLSR; modeling results of indoor spectra by (d) XGBoost, (e) RF, and (f) PLSR
    Land use/land cover types and the extracted bare soil information from Sentinel-2 imagery in the study area. (a) Image of land use/land cover types; (b) image of bare soil information
    Distribution of SOC content based on Sentinal-2 imagery in the study area
    Digital elevation map and soil type map of the study area. (a) Digital elevation map; (b) soil type map
    • Table 1. Statistics of SOC mass fractions for southern area of the Huangzhong District

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      Table 1. Statistics of SOC mass fractions for southern area of the Huangzhong District

      Dataset of sampleNumber of sampleMass fraction /(g·kg-1SkewnessKurtosisCoefficient of variation /%
      MinimumMaximumMeanStandard deviation
      Total samples10015.704.619.822.030.260.5720.67
      Training set6715.704.619.862.070.340.7420.99
      Validation set3314.535.149.761.950.050.3220.00
    • Table 2. Best band range for estimating SOC content under different spectral transformations

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      Table 2. Best band range for estimating SOC content under different spectral transformations

      Spectral transformation methodNumber of characteristic bandSpectral range /nmMaximum correlation coefficient
      RSR364530‒893-0.50
      FD218422, 429, 430, 440, 496‒498, 501‒503, 506‒512, 515‒518, 521‒522, 524‒525, 532, 805, 813‒814, 818, 822‒903, 934, 1002, 1008‒1065, 1073, 1104‒1110, 1113, 1116‒1123, 1415‒1419, 2351‒2374-0.62
      SNV479402‒835, 1390‒14340.54
      Log112594‒705-0.50
      SG364530‒893-0.50
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    Chengzhuo Yin, Xiaohong Gao, Qi Song, Yanjun Huang. Estimation of Soil Organic Carbon Content in Farmland Based on Sentinel-2 Imagery: Case Study of a Typical Area in the Huangshui River Basin[J]. Laser & Optoelectronics Progress, 2025, 62(12): 1228004

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Oct. 28, 2024

    Accepted: Dec. 25, 2024

    Published Online: Jun. 9, 2025

    The Author Email: Xiaohong Gao (gaoxiaohong@qhnu.edu.cn)

    DOI:10.3788/LOP242171

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