| 光谱学与光谱分析 |
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| Spectral Characteristics Analysis of Wheat Damaged by Subsurface Waterlogging |
| XIONG Qin-xue1, 2, WANG Xiao-ling1,2*, WANG You-ning2，3 |
| 1. Agricultural College of Yangtze University, Jinzhou 434025, China2. Hubei Collaborative Innovation Center for Grain Industry, Jinzhou 434025, China3. Hubei Engineering University, Xiaogan 432000, China |
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Abstract Spectrum analysis of crop that affected by subsurface waterlogging is the foundation of surface waterlogging monitoring by remote sensing in large scale. It is also the prerequisite of achieving non-destructive, quick identification of wheat subsurface waterlogging damage with spectral features. But there is no papers report about spectrum analysis of crop affected by subsurface waterlogging so far. The paper analysis the spectral features difference of 8 species (zenmai9023, xinong223, luo6010, fumai168, emai23, emai19, guangyuang11-2, nongda195) between affected subsurface waterlogging and normal in leaf and canopy model using field experiment. The results shows that the leaf spectrum reflectivity value of wheat affected by subsurface waterlogging is high in 645～680 and 1 428～1 456 while it is lower in 757～917 and 1 641～1 684 nm. The main reason is that the subsurface waterlogging causes the leaf chlorophyll photosynthetic capacity decreased and leaf water loss. It is suggested to use NDWI (normal differential water index) value to indicate the damage degree of wheat subsurface waterlogging disaster. The changes of the NDWI index value is analyzed with time when difference wheat species demerged by subsurface waterlogging. It is found that the main factors caused the changes of the NDWI index value with time is related with resistance of variety. The canopy spectrum reflectivity value of wheat affected by subsurface waterlogging is low in all spectrum area. It is suggested to use average value in 670～240 nm to indicate the degree of wheat subsurface waterlogging disaster.
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Received: 2015-05-19
Accepted: 2015-08-30
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Corresponding Authors:
WANG Xiao-ling
E-mail: wangxl309@yangtzeu.edu.cn
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[1] YU Guang-ming(喻光明). Acta Ecologica Sinica(生态学报), 1993, 13(3): 252.
[2] ZHU Jian-qiang(朱建强). The Basic Research on the Application of Water Drainage in the Surface and Sub-Surface Waterlogged Cropland(易涝易渍农田排水应用基础研究). Beijing：Science Press(北京: 科学出版社). 2007.
[3] Singh A. Journal of Hydrology，2011, 406(3-4)：245.
[4] Ram S. Proceeding of National Workshop on Reclamation of Waterlogged Saline and Alkalinity Lands and Prevention Thereof., Ministry of Water Resources New Delhi, Government of India, 1996.
[5] Gitelson A A, Garbuzov G, Szilagyi F, et al. Int J Remote Sensing, 1993, 14(7): 1269.
[6] YAN Chun-yan, LIU Qiang, NIU Zheng, et al(颜春燕, 刘 强, 牛 铮, 等). Science in China D(中国科学D辑地球科学)，2005, 35(9): 881.
[7] Anna Sandaka, Jakub Sandaka, Leszek Babiński, et al. Polymer Degradation and Stability, 2014, 99: 68.
[8] Chowdary V M, Chandran R Vinu, Neeti N, et al. Agricultural Water Management, 2008, 95: 754.
[9] LI Yuan-zheng, WU Sheng-jun, DU Yun, et al(李元征, 吴胜军, 杜 耘, 等). Resources and Environment in the Yangtze Basin(长江流域资源与环境), 2012, 21(10): 1287.
[10] Gao Bocai. Remote Sens. Environ., 1996, 58: 257. |
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