Remote Sensing Technology and Application, Volume. 39, Issue 5, 1205(2024)

Phenological Changes of Herbaceous Vegetation in Marsh Wetland based on Multiple Methods

Bowen TAN, Yuanqi SHAN, Xiaopeng TAN, and Yunlong YAO
Author Affiliations
  • College of Wildlife and Nature Reserves, Northeast Forestry University, Harbin150000,China
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    Figures & Tables(6)
    Location diagram of plant quadrat in Sanjiang Plain
    The distribution of R2 and RMSE of NDVI data and EVI data under different fitting methods was carried out
    • Table 1. The percentage of screened sample data in the total number of samples

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      Table 1. The percentage of screened sample data in the total number of samples

      VIEVINDVI
      拟合方法AGBeckElmoreGuZhangAGBeckElmoreGuZhang
      R2≥0.9的数据量2 2392 2252 2322 3202 2562 2452 1942 2052 3132 213
      25P2 6492 6492 6492 6492 6492 6122 6122 6122 6122 612
      百分比84.52%83.99%84.26%87.58%85.16%85.95%84.00%84.42%88.55%84.72%
    • Table 2. Correlation table between extracted values and observed values of each genus

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      Table 2. Correlation table between extracted values and observed values of each genus

      参数rp-valueRMSEMAERRSE
      薹草属TRS1.SOS0.620.036.094.791.07
      TRS2.SOS0.620.0316.7516.092.93
      TRS5.SOS0.210.5041.4941.057.26
      DER.SOS-0.170.5950.3749.628.81
      UD0.570.0514.8514.002.60
      Greenup-0.340.2827.0425.064.73
      TRS1.EOS-0.300.34187.76187.5132.85
      TRS2.EOS-0.320.32172.50172.2830.18
      TRS5.EOS-0.410.19147.66147.4825.83
      DER.EOS-0.270.39147.88147.6825.87
      DD-0.470.12118.09117.9120.66
      Senescence-0.250.44124.04123.8621.70
      甜茅属TRS1.SOS0.310.5512.3710.391.58
      TRS2.SOS0.330.5324.4222.883.11
      TRS5.SOS0.250.6345.3844.685.78
      DER.SOS0.520.2951.3950.956.55
      UD0.700.1220.7419.972.64
      Greenup0.720.1126.4725.713.37
      TRS1.EOS0.530.28186.30185.5323.74
      TRS2.EOS0.530.28171.31170.7521.83
      TRS5.EOS0.480.34147.68147.3518.82
      DER.EOS0.410.42146.99146.7718.73
      DD0.120.82119.09118.7315.17
      Senescence-0.760.08115.77115.5114.75
      野青茅属TRS1.SOS0.480.235.064.362.14
      TRS2.SOS0.650.0815.0914.896.37
      TRS5.SOS0.380.3536.7136.6115.50
      DER.SOS0.070.8744.0243.6518.59
      UD0.230.5812.7912.165.40
      Greenup0.290.4921.2220.608.96
      TRS1.EOS-0.600.12189.35189.1779.95
      TRS2.EOS-0.630.09172.97172.8573.03
      TRS5.EOS-0.660.08147.13147.0562.12
      DER.EOS-0.630.09146.71146.6861.95
      DD-0.530.18115.69115.6448.85
      Senescence-0.640.09113.02112.9747.72
    • Table 3. Results of variance analysis of extracted values and observed values

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      Table 3. Results of variance analysis of extracted values and observed values

      参数野青茅属(p值)薹草属(p值)甜茅属(p值)
      TRS1.SOS1.001.000.99
      TRS2. SOS0.000.000.02
      TRS5. SOS0.000.000.00
      DER. SOS0.000.000.00
      UD0.000.000.13
      Greenup0.000.000.01
      TRS1. EOS0.000.000.48
      TRS2. EOS0.000.011.00
      TRS5. EOS0.000.000.01
      DER. EOS0.000.000.01
      DD0.000.000.00
      Senescence0.000.000.00
    • Table 4. Mann-Kendall trend test for each category

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      Table 4. Mann-Kendall trend test for each category

      参数突变年份p-valuezSen's slope
      野青茅属TRS1.SOS/0.07-1.78-0.41
      Senescence/0.291.06-0.63
      薹草属TRS1. SOS/0.02-2.39-0.63
      Senescence/0.590.540.15
      甜茅属TRS1. SOS/0.38-0.88-0.28
      Senescence/0.03-2.11-0.49
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    Bowen TAN, Yuanqi SHAN, Xiaopeng TAN, Yunlong YAO. Phenological Changes of Herbaceous Vegetation in Marsh Wetland based on Multiple Methods[J]. Remote Sensing Technology and Application, 2024, 39(5): 1205

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    Paper Information

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    Received: Jan. 4, 2023

    Accepted: --

    Published Online: Jan. 7, 2025

    The Author Email:

    DOI:10.11873/j.issn.1004-0323.2024.5.1205

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