Hyperspectral Features of Typical Plants in Different Mining Disturbance Zones Caused by Coal Mining Collapse in Semi-Arid Areas
WANG Li1,2, LEI Shao-gang1*, BIAN Zheng-fu1, WANG Kai2, PENG Jian2,3, WU Jian2
1. School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
2. Geography Information and Tourism College, Chuzhou University, Chuzhou 239000, China
3. Tourism College, Hunan Normal University, Changsha 410081, China
Abstract：The use of hyperspectral technology to invert and monitor vegetation is based on the identification of its spectral characteristics. The spectral reflectance and the SPAD values of leaves of typical plants, collected in different mining disturbance zones of Coal mining subsidence areas in semi-arid regiens, were simultaneous measured by Field Spec 3 spectrometer and the SPAD-502 chlorophyll meter to explore the spectral characteristics of the plants in the same zone with the SPAD values changing and the spectral differences of typical plants in different mining disturbance zones when the SPAD values was in the same interval. Furthermore, the correlations between SPAD values of leaves of typical plants and the spectral index were analyzed by using Matlab software. The results showed that the spectral characteristics of the same plant species in different mining disturbance zones were distinct with the SPAD values changing, and the spectral curves of different sample zones were clearly distinguished in visible band. In visible band, the green peak of spectral curves of Cleistogenes squarrosa, Artemisia ordosica, Caragana microphylla and Populus tremula in the non-mining zone were absent when the SPAD values was very low, and it appeared with the increase of SPAD value, but the position was red-shifted, when the SPAD value was above 30, the spectral features of the blue valley, green peak, red valley and red edge were obvious, and the higher the SPAD value of leaves of Chinese pine, the lower the spectral reflectance, while no rule was observed in the other zones. In addition, the spectral reflectance of samples with lower SPAD values of Cleistogenes squarrosa, Artemisia ordosica, Chinese pine and Caragana microphylla in the different mining disturbance zones was significantly higher than that of the samples with higher SPAD values from 400 to 700 nm band in general, but the trend of leaves of Populus tremula was just the opposite. The reflectance of the higher and lower groups of SPAD values of Cleistogenes squarrosa in the drawing zone, Artemisia ordosica and Caragana microphylla in the non-mining zone, and Chinese pine and Populus tremula in the compression zone were similar. Compared with the non-mining zone, the differences between the reflectance of the higher and lower groups of SPAD values of the Cleistogenes squarrosa, Artemisia ordosica, and Caragana microphylla in the mining disturbance zones significantly reduced. Moreover, the correlation between the SPAD value and the spectral index of the samples in the mining disturbance zones was enhanced in some bands than that in non-mining zone. The maximum correlation coefficient values between the SPAD value and the spectral index of Artemisia ordosica, Chinese pine, Caragana microphylla and Populus tremula had become lager in neutral zone than that in the non-mining zone, while that of Cleistogenes squarrosa was just opposite. At the same time, the maximum correlation coefficient between SPAD value and NDVI in non-mining zone was higher than that of DI, and the band combinations were mostly in the near infrared, but in the other zones, the band combinations were mostly in visible band. The results of this study provided theoretical support for identifying the differences in the spectral characteristics of typical plants in different mining disturbance zones, further monitoring the health status of plants and accurately controlling the ecological environment in mining area.
王 丽，雷少刚，卞正富，王 凯，彭 建，吴 见. 半干旱采煤塌陷不同应力区典型植物高光谱特征分析[J]. 光谱学与光谱分析, 2019, 39(01): 216-222.
WANG Li, LEI Shao-gang, BIAN Zheng-fu, WANG Kai, PENG Jian, WU Jian. Hyperspectral Features of Typical Plants in Different Mining Disturbance Zones Caused by Coal Mining Collapse in Semi-Arid Areas. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(01): 216-222.
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