Spectroscopy and Spectral Analysis, Volume. 42, Issue 2, 530(2022)

Research on Inversion of Water Conservation Distribution of Forest Ecosystem in Alpine Mountain Based on Spectral Features

Teng NIU1、1; 3;, Jie LU1、1; 2; *;, Jia-xin YU4、4;, Ying-da WU5、5;, Qian-qian LONG3、3;, and Qiang YU3、3;
Author Affiliations
  • 11. Institute of Tibet Plateau Ecology, Tibet Agriculture & Animal Husbandry University, Linzhi 860000, China
  • 33. Beijing Key Laboratory of Precision Forestry, Beijing Forestry University, Beijing 100083, China
  • 44. Hutuohe State-Owned Forest Farm of Shijiazhuang Forestry Bureau, Shijiazhuang 050000, China
  • 55. Forest and Grassland Fire Fighting Research of China Fire and Rescue Institute, Beijing 102202, China
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    Figures & Tables(9)
    Vegetation type and distribution location of sampling points
    Schematic diagram of spectrometer measuring leaf spectrum
    Reflectance spectrum curve of different vegetation leaves
    First derivative spectral curve of different vegetation types(a): First derivative spectral curve;(b): Reflectance spectrum trilateral parameters
    Distribution of water conservation of forest ecosystem in Bayi district
    Accuracy verification of water conservation forecast model(a): Verification of picea likiangensis var. linzhiensis inversion accuracy; (b): Verification of Pimus densata inversion accuracy;(c): Verification of Quercus aquifolioides inversion accuracy; (d): Verification of Rhododendron nivale inversion accuracy
    • Table 1. Vegetation water conservation(t·hm-2)

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      Table 1. Vegetation water conservation(t·hm-2)

      植被类型林冠层
      截流量
      枯落物
      持水量
      土壤
      含水量
      水源涵
      养总量
      雪层杜鹃13.54±1.3513.51±2.39158.69±10.21185.74±12.21
      林芝云杉54.72±3.2115.36±1.22309.33±28.97379.41±21.65
      高山松49.86±2.5317.74±2.31287.61±15.88355.21±25.36
      高山栎30.33±5.6823.69±1.11450.97±31.74504.99±42.11
    • Table 2. Correlation between vegetation reflectance spectrum and water conservation

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      Table 2. Correlation between vegetation reflectance spectrum and water conservation

      参数描述雪层
      杜鹃
      林芝
      云杉
      高山松高山栎
      R400紫光波段0.3590.2460.3550.329
      R440蓝光波段0.2430.2370.2980.267
      R480青光波段0.3410.3390.3560.374
      R540绿光波段, 可见光绿峰0.3570.457*0.442*0.449*
      R580黄光波段0.3890.3910.3610.312
      R600橙光波段0.2770.3240.3390.341
      R700红光波段0.1670.2580.220.303
      SDr红边0.2930.2870.2580.212
      SDy黄边0.3330.3680.3050.357
      SDb蓝边0.3160.2890.2260.303
      R1 450近红外波段水吸收带-0.387-0.355-0.213-0.372
      R1 950中红外波段水吸收带-0.454*-0.488*-0.571*-0.488*
      R3 450中红外波段水吸收带-0.332-0.371-0.225-0.301
      NDWI归一化水体指数0.567*0.49*0.46*0.467*
      NDVI归一化植被指数0.487*0.471*0.459*0.466*
      LWI叶面水含量指数0.3120.3650.3390.353
    • Table 3. Prediction model for water conservation capacity of different vegetation

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      Table 3. Prediction model for water conservation capacity of different vegetation

      植被类型拟合模型
      林芝云杉W=981.24R540-1 457.66R1 950+792.29NDWI+506.25NDVI-502.38
      高山松W=803.77R540-1 287.65R1 950+578.92NDWI+743.11NDVI-556.67
      高山栎W=1 245.75R540-530.45R1 950+638.21NDWI+744.21NDVI-634.77
      雪层杜鹃W=-878.66R1 950+754.37NDWI+375.92NDVI-366.86
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    Teng NIU, Jie LU, Jia-xin YU, Ying-da WU, Qian-qian LONG, Qiang YU. Research on Inversion of Water Conservation Distribution of Forest Ecosystem in Alpine Mountain Based on Spectral Features[J]. Spectroscopy and Spectral Analysis, 2022, 42(2): 530

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    Paper Information

    Category: Research Articles

    Received: Dec. 17, 2020

    Accepted: Mar. 29, 2021

    Published Online: Apr. 2, 2022

    The Author Email:

    DOI:10.3964/j.issn.1000-0593(2022)02-0530-07

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