Research on Hyperspectral Information Parameters of Chlorophyll Content of Rice Leaf in Cd-Polluted Soil Environment | |
Guan Li ; Liu Xiang-nan ; Cheng Cheng-qi | |
刊名 | 光谱学与光谱分析 |
2009 | |
关键词 | Cd pollution Rice leaf Chlorophyll content Hyperspectral remote sensing DISCRIMINATION REFLECTANCE CANOPIES INDEXES LEAVES WATER CORN |
DOI | 10.3964/j.issn.1000-0593(2009)10-2713-04 |
英文摘要 | 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 rim in Hyperion data and five remote sensing information parameters, including MCARI, NPCI, RVSI, NDVI and Depth671. Experiments indicated that WART 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.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000270346100030&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Spectroscopy; SCI(E); EI; PubMed; 中文核心期刊要目总览(PKU); 中国科技核心期刊(ISTIC); 中国科学引文数据库(CSCD); 2; 10; 2713-2716; 29 |
语种 | 英语 |
内容类型 | 期刊论文 |
源URL | [http://ir.pku.edu.cn/handle/20.500.11897/310883] |
专题 | 地球与空间科学学院 |
推荐引用方式 GB/T 7714 | Guan Li,Liu Xiang-nan,Cheng Cheng-qi. Research on Hyperspectral Information Parameters of Chlorophyll Content of Rice Leaf in Cd-Polluted Soil Environment[J]. 光谱学与光谱分析,2009. |
APA | Guan Li,Liu Xiang-nan,&Cheng Cheng-qi.(2009).Research on Hyperspectral Information Parameters of Chlorophyll Content of Rice Leaf in Cd-Polluted Soil Environment.光谱学与光谱分析. |
MLA | Guan Li,et al."Research on Hyperspectral Information Parameters of Chlorophyll Content of Rice Leaf in Cd-Polluted Soil Environment".光谱学与光谱分析 (2009). |
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