• Spectroscopy and Spectral Analysis
  • Vol. 42, Issue 1, 229 (2022)
Qian-qian LONG1、*, Ren-hao ZHOU2、2;, De-peng YUE1、1;, Teng NIU1、1;, Xue-qing MAO1、1;, Peng-chong WANG3、3;, and Qiang YU1、1; *;
Author Affiliations
  • 11. Beijing Key Research Office of Precision Forestry, Beijing Forestry University, Beijing 100083, China
  • 22. Cyberspace Security Academy, Chengdu University of Information Technology, Chengdu 610200, China
  • 33. Beijing Linmiao Ecological Environment Technology Co., Ltd., Beijing 100085, China
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    DOI: 10.3964/j.issn.1000-0593(2022)01-0229-07 Cite this Article
    Qian-qian LONG, Ren-hao ZHOU, De-peng YUE, Teng NIU, Xue-qing MAO, Peng-chong WANG, Qiang YU. Research on Inversion of Water Conservation Capacity of Forest Litter in Yarlung Zangbo Grand Canyon Based on Spectral Features[J]. Spectroscopy and Spectral Analysis, 2022, 42(1): 229 Copy Citation Text show less
    Surface profile and sampling points distribution in the study area
    Fig. 1. Surface profile and sampling points distribution in the study area
    Spectral reflectance of leaves
    Fig. 2. Spectral reflectance of leaves
    First derivative of spectrum(a): The visible light band; (b): The red-edged band
    Fig. 3. First derivative of spectrum
    (a): The visible light band; (b): The red-edged band
    Water conservation and distribution of forest litter in Grand Canyon
    Fig. 4. Water conservation and distribution of forest litter in Grand Canyon
    Precision evaluation of water conservation capacity for different species litter layer in model(a): Pinus densata; (b): Picea Linzhi; (c): Quercusaqui folioides
    Fig. 5. Precision evaluation of water conservation capacity for different species litter layer in model
    (a): Pinus densata; (b): Picea Linzhi; (c): Quercusaqui folioides
    植被指数计算方法
    NDVIρNIR-ρRρNIR+ρR
    EVI2.5×ρNIR-ρRρNIR+(6×ρR-7.5×ρB)+1
    VOGρRE2ρRE1
    LCIρNIR-ρRE1ρNIR-ρR
    GVMI(ρNIR+0.1)-(ρMIR+0.02)(ρNIR+0.1)+(ρMIR+0.02)
    NRIρGρR
    PWPρGρG-ρR
    PSRIρR-ρBρRE2
    Table 1. Characteristic spectral parameters and calculation method
    树种蓝边位
    置/nm
    黄边位
    置/nm
    红边位
    置/nm
    红边
    斜率
    红边峰
    值面积
    高山松5245677210.009 50.404 1
    林芝云杉5225727170.006 30.307 6
    川滇高山栎5245687210.011 90.523 0
    Table 2. Parameter of blue edge, yellow edge and red edge
    树种蓄积量自然
    含水
    率/%
    未分解层
    占比/%
    半分解层
    占比/%
    总量
    /(t·ha-1)
    高山松53.6846.3217.5330.84
    林芝云杉29.1870.8226.4669.06
    川滇高山栎41.1758.8325.1462.89
    Table 3. Litter Stock volume and natural water content
    树种最大持水
    率/%
    最大持水量
    /(t·ha-1)
    有效拦蓄
    率/%
    有效拦蓄量
    /(t·ha-1)
    高山松253.1944.38184.3732.32
    林芝云杉296.2578.39182.7548.36
    川滇高山栎257.6164.76156.0839.24
    Table 4. Water holding capacity of litter
    植被指数Person相关系数
    高山松林芝云杉川滇高山栎
    NDVI0.481*0.2770.204
    EVI0.2880.331*0.231
    VOG0.3450.312*0.358*
    GVMI0.507*0.546**0.407*
    LCI0.396*0.2350.375*
    NRI0.1940.363*0.289
    PWP-0.623**-0.437*-0.565**
    PSRI-0.519**-0.544*-0.442**
    Table 5. Person correlation coefficient analysis
    植被类型反演模型R2
    高山松WL=-13.78PWP**-10.69PSRI*+8.24GVMI*+5.51NDVI*+2.82LCI*+69.030.691
    林芝云杉WL=21.43GVMI**-15.77PWP**-10.81PSRI*+9.38NRI*+7.88EVI*+2.51VOG*+20.140.779
    川滇高山栎WL=-15.16PWP**-12.73PSRI*+12.62GVMI*+9.64LCI*+6.79VOG*+72.110.743
    Table 6. Inversion model of water conservation in litter layer of different tree species
    Qian-qian LONG, Ren-hao ZHOU, De-peng YUE, Teng NIU, Xue-qing MAO, Peng-chong WANG, Qiang YU. Research on Inversion of Water Conservation Capacity of Forest Litter in Yarlung Zangbo Grand Canyon Based on Spectral Features[J]. Spectroscopy and Spectral Analysis, 2022, 42(1): 229
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