Journal of Geo-information Science, Volume. 22, Issue 9, 1814(2020)

Study on Estimation Method of Mongolia Grassland Production based on Sparse Samples

Yanjie WANG1...2, Juanle WANG2,4,*, Haishuo WEI2,3, Ochir ALTANSUKH5, Davaasuren DAVAADORJ6 and Chonokhuu SONOMDAGVA5 |Show fewer author(s)
Author Affiliations
  • 1College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing 100083, China
  • 2State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
  • 3School of Civil and Architectural Engineering, Shandong University of Technology, Zibo 255049, China
  • 4Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
  • 5School of Engineering and Applied Sciences, National University of Mongolia, Ulaanbaatar 210646, Mongolia
  • 6School of the Art & Sciences, National University of Mongolia, Ulaanbaatar 210646, Mongolia
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    Figures & Tables(8)
    200 km buffer zone along the China-Mongolia Railway (Mongolia)
    Comparison of actual value and estimated value of samples by P-BSHADE and Kriging
    Distribution of interpolation samples based on P-BSHADE method
    The spatial distribution of grassland production along the China-Mongolia railway (Mongolia) from 2000 to 2019
    Annual grassland production along the China-Mongolia railway (Mongolia) from 2000 to 2019
    • Table 1. Correlation analysis between grassland production along the China-Mongolia railway (Mongolia) and vegetation indices

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      Table 1. Correlation analysis between grassland production along the China-Mongolia railway (Mongolia) and vegetation indices

      要素EVINDVIPsnNet
      相关系数0.833**0.863**0.845**
      P0.0000.0000.000
    • Table 2. Estimation models of grassland production along the China-Mongolia railway (Mongolia) based on different vegetation indices and accuracy comparison

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      Table 2. Estimation models of grassland production along the China-Mongolia railway (Mongolia) based on different vegetation indices and accuracy comparison

      建模参数模型方程R2Sig.RMSE/(kg/hm2精度/%
      NDVI线性模型Y=-12.687+208.515X10.720.00056.8975
      指数模型Y=10.074exp(3.897X10.640.00042.9180
      EVI线性模型Y=-11.687+316.114X20.660.00063.8972
      指数模型Y=10.582exp(5.799X20.570.00048.0578
      PsnNet线性模型Y=6.887+2989.807X30.680.00081.6569
      指数模型Y=17.236exp(50.095X30.550.00060.0373
    • Table 3. Statistics of annual grassland production along the China-Mongolia Railway (Mongolia) from 2000 to 2019

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      Table 3. Statistics of annual grassland production along the China-Mongolia Railway (Mongolia) from 2000 to 2019

      年份单产/(kg/hm²)总产/104 t
      20004063.231862.97
      20014734.252170.49
      20024178.611915.84
      20034603.982110.93
      20044551.332086.81
      20053982.201825.84
      20064721.282164.76
      20073696.651694.92
      20085054.462317.36
      20094741.862174.14
      20104361.111999.63
      20115143.612358.30
      20125790.502654.97
      20135203.052385.58
      20145431.392490.22
      20153758.041723.11
      20165156.342364.27
      20173294.821510.57
      20185092.152334.79
      20194802.512202.00
      平均4618.072117.38
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    Yanjie WANG, Juanle WANG, Haishuo WEI, Ochir ALTANSUKH, Davaasuren DAVAADORJ, Chonokhuu SONOMDAGVA. Study on Estimation Method of Mongolia Grassland Production based on Sparse Samples[J]. Journal of Geo-information Science, 2020, 22(9): 1814

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    Paper Information

    Received: Nov. 9, 2019

    Accepted: --

    Published Online: Apr. 23, 2021

    The Author Email: WANG Juanle (wangjl@igsnrr.ac.cn)

    DOI:10.12082/dqxxkx.2020.190675

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