• Spectroscopy and Spectral Analysis
  • Vol. 42, Issue 7, 2284 (2022)
Xiao-xuan WANG1、*, Xiao-ping LU1、1; *;, Guo-qing LI2、2;, Jun WANG2、2;, Zen-an YANG1、1;, Yu-shi ZHOU1、1;, and Zhi-li FENG1、1;
Author Affiliations
  • 11. Henan Polytechnic University, Key Laboratory of Spatio-Temporal Information and Ecological Restoration of Mines, Ministry of Natural Resources, Jiaozuo 454000, China
  • 22. Henan Institute of Remote Sensing and Geomatics, Zhengzhou 450000, China
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    DOI: 10.3964/j.issn.1000-0593(2022)07-2284-06 Cite this Article
    Xiao-xuan WANG, Xiao-ping LU, Guo-qing LI, Jun WANG, Zen-an YANG, Yu-shi ZHOU, Zhi-li FENG. Combining the Red Edge-Near Infrared Vegetation Indexes of DEM to Extract Urban Vegetation Information[J]. Spectroscopy and Spectral Analysis, 2022, 42(7): 2284 Copy Citation Text show less
    Remote Sensing Images of worldview-3
    Fig. 1. Remote Sensing Images of worldview-3
    Red-edge band analysis diagram
    Fig. 2. Red-edge band analysis diagram
    Ground feature fitting maps
    Fig. 3. Ground feature fitting maps
    Model interpretation diagram
    Fig. 4. Model interpretation diagram
    Interpretation diagram of a and c calculations
    Fig. 5. Interpretation diagram of a and c calculations
    Graph of distance from sample point to l3
    Fig. 6. Graph of distance from sample point to l3
    Urban vegetations extracted by different indexes(a), (e), (i): reference diagram; (b), (f), (j): NDVI; (c), (g), (k): EVI; (d), (h), (l): RENVI
    Fig. 7. Urban vegetations extracted by different indexes
    (a), (e), (i): reference diagram; (b), (f), (j): NDVI; (c), (g), (k): EVI; (d), (h), (l): RENVI
    光谱指数地物数据用户精度/%生产者精度/%总体精度/(%/%)Kappa系数
    植被非植被总计
    植被1989729567.1260.74
    NDVI非植被1287920538.5344.8755.40/54.230.497 6/0.482 3
    总计326176500
    2037227573.8262.08
    RVI植被非植被12410122544.8958.3860.8/57.260.552 3/0.532 4
    总计327173500
    植被3532838192.6592.89
    RENVI非植被279211977.3176.6789/87.630.852 8/0.843 6
    总计380120500
    Table 1. Evaluation of vegetation extraction accuracy for the first scene
    光谱指数地物数据用户精度/%生产者精度/%总体精度/(%/%)Kappa系数
    植被非植被总计
    植被1928726472.7258
    NDVI非植被1398223634.7448.5254.80/53.260.491 3/0.483 2
    总计331169500
    植被2167526880.6064.86
    RVI非植被1179223228.4855.0961.60/59.230.566 3/0.536 4
    总计333167500
    植被3293237587.7384.35
    RENVI非植被477812562.470.981.4/80.690.791 3/0.775 6
    总计390110500
    Table 2. Evaluation of vegetation extraction accuracy for the second scene
    光谱指数地物数据用户精度/%生产者精度/%总体精度/(%/%)Kappa系数
    植被非植被总计
    植被1986827372.5357.22
    NDVI非植被1488622737.8855.8456.8/54.320.515 5/0.473 6
    总计346154500
    植被2044326576.9858.29
    RVI非植被12810723545.5373.3362.2/60.950.575 6/0.536 9
    总计350150500
    植被3692338994.8695.34
    RENVI非植被189011181.0879.6591.8/88.230.905 2/0.875 3
    总计387113500
    Table 3. Evaluation of vegetation extraction accuracy for the third scene
    Xiao-xuan WANG, Xiao-ping LU, Guo-qing LI, Jun WANG, Zen-an YANG, Yu-shi ZHOU, Zhi-li FENG. Combining the Red Edge-Near Infrared Vegetation Indexes of DEM to Extract Urban Vegetation Information[J]. Spectroscopy and Spectral Analysis, 2022, 42(7): 2284
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