The Hyperspectral Diagnosis Model for Acid Stress of Cinnamomum camphora
LI Xin-hui1, ZHANG Xiu-ying1*, MA Yuan-dan2, JIN Jia-xin1*, CHENG Min1, 3, ZHANG Xiao-min1, JIANG Hong1, 2
1. International Institute for Earth System of Science Nanjing University, Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing 210023, China
2. Nurturing Station for the State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Lin’an 311300，China
3. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
Abstract：The hyperspectral technique plays an important role in detecting the response of plant under the acid stress. Taking Cinnamomum camphora as the subject, the hyperspectral information at leaf scale under 419 days of acid disposals was measured. Differing from other kinds of environmental stresses, the responses of plants under acid stress are more complicated due to the fertilizer effect of sulfur and nitrogen. Based on the hyperspectral monitoring on the leaf of Cinnamomum camphora under four grades of acid rains (pH 5.6，pH 4.5，pH 3.0，pH 2.0), the aim of this study is to find the turning point from promoting to inhibiting growth by acid rain. Based on the 16 terms of hyperspectral data, the pretreatments were firstly conducted and the abnormal values were removed; and then the typical spectrals were selected based on the temporal variations of leaf response (the differences of the spectral values under pH 5.6 minus those under pH 4.5, pH 3.0, pH 2.0, respectively) under acid stresses; finally the diagnostic models were constructed using the typical spectral. The results showed that the typical bands to reflect the response of Cinnamomum camphora under acid stresses were mainly within 470~520 and 565~700 nm, based on which the difference of blue edge index and the difference of yellow edge index were built. The acid rain with pH 4.5 and pH 3.0 first promoted and then inhibited the growth of Cinnamomum camphora, with the turning point at 100 days and 50 days of spraying acid rain, respectively. The acid rain with pH 2.0 inhibited the growth of Cinnamomum camphora at the beginning of acid treatments, and this inhibition had been strengthened with time increasing. This study showed that the long term of hyperspectral monitoring could indicate the temporal variations of the responses of Cinnamomum camphora under acid treatments. These results could provide scientific information for monitoring the plant responses under acid rain at a regional scale, which also provide scientific suggestions for the government to enact environmental protection plans.
李新会，张秀英，马元丹，金佳鑫, 程 敏，张小敏，江 洪. 香樟受酸胁迫影响的高光谱诊断模型[J]. 光谱学与光谱分析, 2017, 37(06): 1872-1878.
LI Xin-hui, ZHANG Xiu-ying, MA Yuan-dan, JIN Jia-xin, CHENG Min, ZHANG Xiao-min, JIANG Hong. The Hyperspectral Diagnosis Model for Acid Stress of Cinnamomum camphora. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(06): 1872-1878.
