Research on Hyperspectral Information Parameters of Chlorophyll Content of Rice Leaf in Cd-Polluted Soil Environment
GUAN Li1, LIU Xiang-nan2, CHENG Cheng-qi1
1. Institute of Remote Sensing and GIS, Peking University, Beijing 100871, China 2. School of Information Engineering, China University of Geosciences, Beijing 100083, China
摘要： 农田重金属污染是当今世界面临的重大生态环境问题之一，与环境质量、人类生存和粮食安全关系密切，是普遍关注的重要课题。利用Hyperion高光谱卫星遥感数据和大量地面实验测量数据，系统分析受镉污染的水稻叶片中叶绿素含量变化及其与高光谱遥感数据的响应关系，建立基于水稻叶绿素变化的农田镉污染遥感监测模型。利用多重判别分析法，确定监测水稻叶绿素变化的敏感遥感参数，作为镉污染的响应因子，进行农田污染遥感监测信息机理分析，并建立了污染监测机理遥感模型。研究结果表明，众多的遥感参数中，MCARI(modified chlorophyll absorption in reflectance index) 对镉污染的水稻叶绿素含量变化最为敏感，响应系数达到0.59。因此，可以通过该高光谱遥感参数的变化初步监测大面积土壤镉污染，但估算精度还有待进一步提高。
关键词：镉污染;水稻叶片;叶绿素;高光谱遥感
Abstract：The remote sensing pollution mechanism in Cd-polluted soil is discussed depending on the research into the chlorophyll content of Cd-polluted rice leaf in the present paper. The response models of remote sensing information parameters, which reflected chlorophyll content variety of rice canopy with soil Cd pollution degree, were established based on Hyperion satellite data and a great number of ground experiment data. To extract sensitive remote sensing parameters for Cd pollution, multiple discriminant analysis (MDA) was applied to the reflectivity of 447-925 nm in Hyperion data and five remote sensing information parameters，including MCARI, NPCI, RVSI, NDVI and Depth671. Experiments indicated that MCARI is the most sensitive parameter to the chlorophyll content of Cd-polluted rice, whose response coefficient is 0.59. In the extent of 1.0-2.0 mg·kg-1 of Cd pollution concentration in soil, MCARI curve shows a small decline. In the extent of 2.0-3.0 mg·kg-1 of Cd pollution concentration in soil, MCARI curve is horizontal. Above 3.0 mg·kg-1, MCARI shows a significant drop trend and so on. The research results showed that the chlorophyll content is a good indicator for nutrition situation of plant, capacity of photosynthesis and each developmental stage. And the chlorophyll remote sensing parameters in crop have a great significance for monitoring heavy metal pollution. This study will help improve the precision and limitation of statistical methods and provide theoretical basis for and technical approach to monitoring soil Cd pollution in large area using hyperspectral remote sensing technology. However, the precision of pollution model needs to be improved.
关 丽1,刘湘南2,程承旗1 . 土壤镉污染环境下水稻叶片叶绿素含量监测的高光谱遥感信息参数[J]. 光谱学与光谱分析, 2009, 29(10): 2713-2716.
GUAN Li1, LIU Xiang-nan2, CHENG Cheng-qi1. Research on Hyperspectral Information Parameters of Chlorophyll Content of Rice Leaf in Cd-Polluted Soil Environment . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2009, 29(10): 2713-2716.
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