Study on Canopy Spectral Characteristics of Paddy Polluted by Heavy Metals
REN Hong-yan1, ZHUANG Da-fang2, 3*, PAN Jian-jun3, SHI Xue-zheng1, SHI Run-he4, WANG Hong-jie1
1. State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China 2. Resource and Environmental Science Data Center, Chinese Academy of Sciences, Beijing 100101, China 3. College of Resource and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, China 4. Key Laboratory of Geographic Information Science for Ministry of Education, East China Normal University, Shanghai 200062, China
Abstract：Because of frequent mining, heavy metals are brought into environment like soils, water and atmosphere, resulting heavy metal contamination in the agricultural region beside mines. Heavy metals contamination causes vegetation stress like destruction of chloroplast structure, chlorophyll content decrease, blunt photosynthesis, etc. Spectral responses to changes in chlorophyll content and photosynthesis make it possible that remote sensing is applied in monitoring heavy metals stress on paddy plants. Field spectroradiometer was used to acquire canopy reflectance spectra of paddy plants contaminated by heavy metals released from local mining. The present study was conducted to (1) investigate discrimination of canopy reflectance spectra of heavy metal polluted and normal paddy plants; (2) extract spectral characteristics of contaminated paddy plants and compare them. By means of correlation analysis, sensitive bands (SB) were firstly picked out from canopy spectra. Secondly, on the basis of these sensitive bands, normalized difference vegetation indices (NDVI) were established, and then red edge position (REP) was extracted from canopy spectra via curve fitting of inverted Gaussian model. As a result of correlation analysis, 460, 560, 660 and 1 100 nm were considered respectively as sensitive band for Pb, Zn, Cu and As concentration in paddy leaves. Furthermore, heavy metal concentrations (Pb, Zn, Cu and As) were significantly correlated with NDVIs (Pb, NDVI(510, 810);Zn, NDVI(510, 870);Cu, NDVI(660, 870); As, NDVI(510, 810)). Heavy metals were also significantly correlated with REP, however, the inflexion termed as spectral critical value (SCV) between low and high heavy metals concentrations should be considered during applying REP in remote sensing monitoring. Moreover, NDVI and REP are much better than SB in terms of capability of expressing spectral information. Therefore, heavy metals contamination in paddy plants can be remotely monitored via ground spectroradiometer when NDVI and REP are selected as spectral characteristics.
Key words：Heavy metal;Paddy;Canopy reflectance;Spectral characteristics;Spectral critical value
任红艳1, 庄大方2, 3*, 潘剑君3, 史学正1, 施润和4, 王洪杰1 . 重金属污染水稻的冠层反射光谱特征研究[J]. 光谱学与光谱分析, 2010, 30(02): 430-434.
REN Hong-yan1, ZHUANG Da-fang2, 3*, PAN Jian-jun3, SHI Xue-zheng1, SHI Run-he4, WANG Hong-jie1 . Study on Canopy Spectral Characteristics of Paddy Polluted by Heavy Metals . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2010, 30(02): 430-434.
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