胡琳, 甘淑, 袁希平, 李雁, 付承彪, 宋春雨, 闫馨方. 滇池不同空间分布水体的高光谱特征差异分析[J]. 云南大学学报(自然科学版), 2020, 42(4): 695-700. doi: 10.7540/j.ynu.20190548
引用本文: 胡琳, 甘淑, 袁希平, 李雁, 付承彪, 宋春雨, 闫馨方. 滇池不同空间分布水体的高光谱特征差异分析[J]. 云南大学学报(自然科学版), 2020, 42(4): 695-700. doi: 10.7540/j.ynu.20190548
HU Lin, GAN Shu, YUAN Xi-ping, LI Yan, FU Cheng-biao, SONG Chun-yu, YAN Xin-fang. Difference analyses on hyperspectral characteristics of spatial distribution of different water bodies in Dianchi Lake[J]. Journal of Yunnan University: Natural Sciences Edition, 2020, 42(4): 695-700. DOI: 10.7540/j.ynu.20190548
Citation: HU Lin, GAN Shu, YUAN Xi-ping, LI Yan, FU Cheng-biao, SONG Chun-yu, YAN Xin-fang. Difference analyses on hyperspectral characteristics of spatial distribution of different water bodies in Dianchi Lake[J]. Journal of Yunnan University: Natural Sciences Edition, 2020, 42(4): 695-700. DOI: 10.7540/j.ynu.20190548

滇池不同空间分布水体的高光谱特征差异分析

Difference analyses on hyperspectral characteristics of spatial distribution of different water bodies in Dianchi Lake

  • 摘要: 滇池作为污染十分严重的高原湖泊之一,其水质监测工作备受关注. 利用高光谱遥感监测水质,便于动态长期监测并能找出污染源及其空间分布差异. 因此,文章基于珠海一号高光谱卫星数据,从空间尺度上,分别选取滇池内部不同区域的水体进行高光谱试验分析比较. 试验结果认为:①研究区草海和外海水体在近红外波段内反射率差异最大,可用于2类水体的识别与提取,以及对水体内叶绿素含量进行初判断;②研究区入湖口和出湖口位置的水体光谱曲线在880~940 nm范围内变化异常,可用于2处水体的识别与提取,并推测因水体中悬浮物颗粒影响改变了变化趋势;③湖心和湖岸带水体在近红外波段内,反射率差值先增至最大再逐渐减小,可根据此光谱特征实现2个区域水体的识别与提取,并推测可能是由于水体内悬浮物体积浓度影响导致光谱差异. 综上所述,近红外波段有很好的光谱响应特征,可以较好地反映并识别湖泊的不同空间分布差异. 同时,对于水环境条件差异也可以进行更好地判断.

     

    Abstract: Dianchi Lake is one of the seriously polluted plateau lakes and water quality monitoring in Dianchi Lake has attracted much attention. Monitoring water quality by hyperspectral remote sensing is convenient for long-term dynamic monitoring and the spatial distribution difference and migration characteristics of pollution sources. In this paper, ZH-1 hyperspectral satellite data were used to select, from the spatial scale, water bodies in different regions of Dianchi Lake for hyperspectral test analysis and comparison. The test results show: ① The difference of reflectivity between Caohai and offshore water bodies in the study area is the largest in the near-infrared band, which can be used for the identification and extraction of two kinds of water bodies, as well as the preliminary determination of chlorophyll content in water bodies. ② The spectral curves of the water bodies at the inlet and outlet in the study area varied abnormally within the range of 880—940 nm, which could be used for the identification and extraction of the two water bodies, and it was speculated that the change trend was caused by the influence of suspended particles in the water. ③ In the near infrared band, the reflectivity difference between the water bodies in the lake center and the shore zone first increases to the maximum and then decreases gradually. According to this spectral feature, the identification and extraction of water bodies in the two regions can be realized, and it is speculated that the spectral difference is caused by the influence of suspended matter concentration in the water. In conclusion, near-infrared band has good spectral response characteristics, which can better reflect and identify the spatial distributive difference within lakes, and can also make a good judgment on the difference of water environment conditions.

     

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