A Novel Method for Extracting Leaf-Level Solar-Induced Fluorescence of Typical Crops under Cu Stress
QU Ying1, 2, 3, LIU Su-hong1, 2, 3*, LI Xiao-wen1, 2, 3
1. School of Geography, Beijing Normal University, Beijing 100875, China 2. State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China 3. Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing 100875, China
Abstract:The leaf-level solar-induced fluorescence changes when the typical crops are under Cu stress, which can be considered as a sensitive indicator to estimate the stress level. In the present study, wheat (TritiZnm aestivum L.), pea (Pisum sativum L.) and Chinese cabbage (Brassica campestris L.) were selected and cultured with copper solutions or copper polluted soil with different Cu stress. The apparent reflectance of leaves was measured by an ASD Fieldspec spectrometer and an integrating sphere. As the apparent reflectance was seldom affected by the fluorescence emission at 580~650 and 800~1 000 nm, so the apparent solar-induced fluorescence can be separated from the apparent reflectance based on PROSPECT model. The re-absorption effect of chlorophyll was corrected by three methods, called GM (Gitelson et al.’s model), AM (Agati et al.’s model) and LM (Lagorio et al.’s model). After the re-absorption correction, the solar-induced fluorescence under different Cu stress was obtained, and a positive relationship was found between the height of far RED fluorescence (FRF) and the copper contents in leaves.
Key words:Solar-induced fluorescence;Heavy metal stress;Re-absorption correction;Leaf spectra
[1] Maksymiec W. Acta Physiologiae Plantarum, 2007, 29(3): 177. [2] Chen B, Zhu Y G, Duan J, et al. Environmental Pollution, 2007, 147(2): 374. [3] Yang L, Zhang Y, Gao Y, et al. Chinese Journal of Analytical Chemistry(分析化学), 2002, 30(9): 1143. [4] Wu D, Wu Y, Ma H. Remote Sensing Technology and Application(遥感技术与应用), 2009, 24(2): 238. [5] Liu S H, Liu X H, Hou J, et al. Science in China Series E: Technological Sciences, 2008, 51(2): 202. [6] Chi G Y, Chen X, Shi Y, et al. Science in China Series C: Life Sciences, 2009, 52(8): 747. [7] Qu Y, Liu S, Xia J. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2010. 2780. [8] Baker N R. Annu. Rev. Plant Biol., 2008, 59: 89. [9] Joiner J, Yoshida Y, Vasilkov A, et al. Biogeosciences, 2011, 8: 637. [10] Zarco-Tejada P J, Miller J R, Mohammed G H, et al. Remote Sensing of Environment, 2000, 74(3): 582. [11] Zhang Y J, Zhao C J, Liu L Y, et al. Journal of Integrative Plant Biology, 2005, 47(10): 1228. [12] Jacquemoud S, Baret F. Remote Sensing of Environment, 1990, 34(2): 75. [13] Feret J B, Franois C, Asner G P, et al. Remote Sensing of Environment, 2008, 112(6): 3030. [14] Cordón G B, Lagorio M G. Photochemical & Photobiological Sciences, 2006, 5(8): 735. [15] Gitelson A A, Buschmann C, Lichtenthaler H. Journal of Plant Physiology, 1998, 152(2-3): 283. [16] Ramos M E, Lagorio M G. Photochemical & Photobiological Sciences, 2006, 5(5): 508. [17] Ramos M E, Lagorio M G. Photochemical & Photobiological Sciences, 2004, 3(11-12): 1063. [18] Pedrós R, Goulas Y, Jacquemoud S, et al. Remote Sensing of Environment, 2010, 114(1): 155.