• Spectroscopy and Spectral Analysis
  • Vol. 41, Issue 11, 3595 (2021)
Yao WANG1; 2;, Shi-xin WANG1; 2; *;, Yi ZHOU1; 2;, Fu-tao WANG1; 2; *;, and Zhen-qing WANG1; 2;
Author Affiliations
  • 1. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
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    DOI: 10.3964/j.issn.1000-0593(2021)11-3595-07 Cite this Article
    Yao WANG, Shi-xin WANG, Yi ZHOU, Fu-tao WANG, Zhen-qing WANG. Research on Fire Point Monitoring Based on GaoFen-4 Satellite Data With Bright Temperature Difference Correction[J]. Spectroscopy and Spectral Analysis, 2021, 41(11): 3595 Copy Citation Text show less
    Flowchart of fire point detection method
    Fig. 1. Flowchart of fire point detection method
    Scatter plots of surface brightness temperature before and during the disaster in Qinyuan, Shanxi province
    Fig. 2. Scatter plots of surface brightness temperature before and during the disaster in Qinyuan, Shanxi province
    Comparison chart of fitted background brightness temperature with different interpolation methods
    Fig. 3. Comparison chart of fitted background brightness temperature with different interpolation methods
    Histogram and probability distribution of background brightness temperature fitting in potential fire points(a): Histogram and probability distribution AT fitting; (b): Histogram and probability distribution IDW fitting;(c): Histogram and probability distribution OK fitting; (d): Histogram and probability distribution SK fitting
    Fig. 4. Histogram and probability distribution of background brightness temperature fitting in potential fire points
    (a): Histogram and probability distribution AT fitting; (b): Histogram and probability distribution IDW fitting;(c): Histogram and probability distribution OK fitting; (d): Histogram and probability distribution SK fitting
    Results of forest fires detection of New Barhu Right Bannerin Inner Mongolia on April 21, 2019(a): Results of AT; (b): Results of IDW; (c): Results of simple Kriging; (d): Results of ordinary Kriging
    Fig. 5. Results of forest fires detection of New Barhu Right Bannerin Inner Mongolia on April 21, 2019
    (a): Results of AT; (b): Results of IDW; (c): Results of simple Kriging; (d): Results of ordinary Kriging
    Results of forest fires detection of Qinyuan, Shanxi province on March 31, 2019(a): Results of AT; (b): Results of IDW; (c): Results of simple Kriging; (d): Results of ordinary Kriging
    Fig. 6. Results of forest fires detection of Qinyuan, Shanxi province on March 31, 2019
    (a): Results of AT; (b): Results of IDW; (c): Results of simple Kriging; (d): Results of ordinary Kriging
    参数可见光波段中红外波段
    0.45~0.90 μm
    0.45~0.52 μm
    光谱范围0.52~0.59 μm3.50~4.1 μm
    0.63~0.69 μm
    0.77~0.89 μm
    瞬时视场50 m400 m
    单景成像区域500 km×500 km400 km×400 km
    视场角(FOV)0.8°×0.8°0.66°×0.66°
    观察能力分钟级秒级
    Table 1. Parameters of GaoFen-4 satellite
    亮温拟合方法平均值标准差最大值最小值
    PreAT292.944.17301.70286.25
    PreIDW309.933.78317.85296.74
    PreOK309.693.65318.05298.70
    PreSK315.808.10337.33289.76
    Table 2. Statistical table of adaptive threshold method and three interpolation methods about fitting bright temperature values
    自适应阈
    值分割
    反距离
    加权
    简单克
    里金
    普通克
    里金
    目视
    解译
    火点数323304198230276
    非火点数144163269237-
    漏分1927453-
    错分664757-
    Table 3. GF-4/PMI Fire point detection of dual phase methods and single phase methods in New Barhu Right Bannerin Inner Mongolia
    自适应阈
    值分割
    反距离
    加权
    简单克
    里金
    普通克
    里金
    目视
    解译
    火点数193187163172171
    非火点数16224637-
    漏分22174-
    错分241895-
    Table 4. GF-4/PMI Fire point detection of dual phase methods and single phase methods in Qinyuan, Shanxi Province
    内蒙古山西
    ATIDWOKSKATIDWOKSK
    P0.931 10.931 20.807 90.699 270.988 30.988 30.976 60.900 5
    R0.795 60.845 40.969 50.974 740.875 60.903 70.970 90.944 7
    M0.204 30.154 60.030 50.025 250.129 40.096 30.02900.055 2
    Fβ0.819 50.861 20.932 20.903 550.891 70.925 90.973 10.93 67
    Table 5. The validation result of forest fire points detection in different methods
    Yao WANG, Shi-xin WANG, Yi ZHOU, Fu-tao WANG, Zhen-qing WANG. Research on Fire Point Monitoring Based on GaoFen-4 Satellite Data With Bright Temperature Difference Correction[J]. Spectroscopy and Spectral Analysis, 2021, 41(11): 3595
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