Study on the Spectrum Response of Brassica Campestris L Leaf to the Zinc Pollution
CHEN Si-ning1, LIU Xin-hui1*, HOU Juan1, LIU Su-hong2, CHI Guang-yu1, CUI Bao-shan1, YANG Zhi-feng1
1.State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China 2.College of Geography and Remote Sensing Sciences, Beijing Normal University, Beijing 100875, China
Abstract:In the present paper, the spectrum response of Brassica Campestris L leaf to the stress of heavy metal zinc pollution was studied in three spectral rangess of the red edge position (680-740nm), the visible spectrum (460-680nm) and the near infrared spectrum (750-1000nm). The results indicate that the Zn content in cabbage leaves increases and the chlorophyll level reduces with the increase in Zn concentration in soil. With the Zn content of Brassica Campestris L leaves increasing, the leaf spectral reflectivity in visible light (A1) and the range of red edge shift (S) ascends, the the leaf spectral reflectivity in the near infrared light (A2) decreases. The three indices of A1, A2 and S are fitted much linearly with the logarithm of zinc content in Brassica Campestris L leaves with the high squared regression coefficients of 0.942, 0.981 and 0.969 respectively. The regression models are reliable to estimate the zinc content in Brassica Campestris L leaves.
陈思宁1,刘新会1*,侯 娟1,刘素红2,迟光宇1,崔保山1,杨志峰1 . 重金属锌胁迫的白菜叶片光谱响应研究[J]. 光谱学与光谱分析, 2007, 27(09): 1797-1801.
CHEN Si-ning1, LIU Xin-hui1*, HOU Juan1, LIU Su-hong2, CHI Guang-yu1, CUI Bao-shan1, YANG Zhi-feng1 . Study on the Spectrum Response of Brassica Campestris L Leaf to the Zinc Pollution. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(09): 1797-1801.
[1] XIANG Chang-xing, DONG Ya-wen, QIAN Jun-long, et al(项长兴,董雅文,钱君龙, 等). Soil(土壤),1993, 25: 319. [2] MA Xiang-ping, XIAN Mai-long, L Lu-shi, et al(马向平,仙麦龙,吕录仕, 等). Remote Sensing for Land and Resources(国土资源遥感), 1997, 34: 14. [3] TIAN Guo-liang, BAO Pei-li, LI Jian-jun, et al(田国良,包佩丽,李建军, 等). Remote Sensing of Environment(环境遥感), 1990, 5: 140. [4] LIU Sheng-wei, GAN Fu-ping, WANG Run-sheng(刘圣伟,甘甫平,王润生). Remote Sensing for Land and Resources(国土资源遥感), 2004, 59: 6. [5] Mars J C, Crowley J K. Remote Sensing of Environment, 2003, 84: 422. [6] Schuerger A C, Capelle G A, Di Benedetto J A. Remote Sensing of Environment, 2003, 84: 572. [7] MA Chao-fei, MA Jian-wen, HAN Xiu-zhen(马超飞,马建文,韩秀珍). Journal of Remote Sensing(遥感学报), 2001, 5: 334. [8] Hoque E, Huntzler J S. Remote Sensing of Environment, 1992, 39: 81. [9] WANG Ke, SHEN Zhang-quan, WANG Ren-chao(王 珂,沈掌泉,王人潮). Remote Sensing for Land and Resources(国土资源遥感), 1999, 39: 9. [10] AI Tian-cheng, LI Fang-min, ZHOU Zhi-an, et al(艾天成,李方敏,周治安, 等). Journal of Hubei Agricultral College(湖北农学院学报), 2000, 20: 6. [11] XIE Su-jing, XIE Shu-lian, XIE Bao-mei(谢苏婧,谢树莲,谢宝妹). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2003, 23(3): 615. [12] Yang Z M, Hua Y, Li J. Journal of Environmental Science, 1992, 12: 230. [13] Madeira A C, Mendonca A, Ferreira M E, et al. Soil Science and Plant Analysis, 2000, 31: 631. [14] JIANG Ming-yi, YANG Wen-ying, XU Jiang, et al(蒋明义,杨文英,徐 江,等). Journal of Integrative Plant Biology(植物学报), 1994, 36: 289. [15] Somashekaraiah B V, Padmaja K, Prasad R K. Physiologia Plantarum, 1992, 85: 85. [16] Broge N H, J Vmortensen. Remote Sensing of Environment, 2002, 81: 45. [17] Danidl A S, Gamon J A. Remote Sensing of Environment, 2002, 81: 337. [18] Filella I, Penuelas J. International Journal of Remote Sensing, 1994, 15: 1459.