| 光谱学与光谱分析 |
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| Impacts of Different Alkaline Soil on Canopy Spectral Characteristics of Overlying Vegetation |
| JIA Ke-li1,2, ZHANG Jun-hua3* |
1. College of Resource and Environment, Ningxia University, Yinchuan 750021, China
2. Ningxia Key Laboratory of Intelligent Sensing for Desert Information, Yinchuan 750021, China
3. The Applied Research and Development Center for New Technology, Ningxia University, Yinchuan 750021, China |
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Abstract The relationship between alkalinity and pH of the soil, reflectance spectra and red-edge parameters of the sunflower canopy in different growth periods under different alkalinity soil were analyzed, respectively. The results showed that the spectral reflectance of the sunflower canopy in different stage under different alkalinity soil is the same as the spectral reflectance characters of the other greenery canopy. Along with the advancement of the sunflower growth period, sunflower canopy spectral reflectance increases gradually at different stages, the spectral reflectance is higher at flowering stage than 7-leaf stage and budding stage, and there exists a high reflection peak at 809nm at flowering period. At the same time, the spectral reflectance is affected by salinity-alkalinity stress at different stages, in the near infrared shortwave band, the spectral reflectance of the sunflower canopy in different stage increases with the decreases in soil alkalinity. When the derivatives are applied to determine the wavelength of the red-edge, there is a shift phenomenon of the red edge. The red edges were at 702～720 nm during every growth period of the sunflower. The “blue shift” phenomenon is also emerged for red edge position and red edge sloped with the increase in the soil alkalinity. Conversely, at the same growth periods, the red edge positions and red edge slope move to longer wave bands with the decrease in soil alkalinity. There is a “red shift” phenomenon before flowering period and “blue shift” phenomenon after flowering period for the red edge position and red edge slope of canopy spectrum at the same soil alkalinity. Respectively. The red edges at different growth stages of the sunflower show very significant positive correlation and quadratic polynomial to alkalinity and pH of the soil. Therefore, we thought used the red edge features of greenery could indicate the soil alkalization degree, it providing scientific basis for monitoring soil alkalization degree by remote sensing.
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Received: 2013-05-21
Accepted: 2013-07-18
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Corresponding Authors:
ZHANG Jun-hua
E-mail: zhangjunhua728@163.com
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[1] Ju Changhua, Tian Yongchao, Yao Xia, et al. Pedosphere, 2010, 20(5): 633.
[2] TANG Yan-lin, HUANG Jing-feng, WANG Xiu-zhen, et al(唐延林，黄敬峰，王秀珍，等). Scientia Agricultura Sinica(中国农业科学), 2004，37 (1) ：29.
[3] XIE Xiao-jin, SHEN Shuang-he, LI Ying-xue, et al(谢晓金，申双和，李映雪，等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报)，2010, 2(3)：183.
[4] SUN Peng-sen, LIU Shi-rong, LIU Jing-tao, et al(孙鹏森，刘世荣，刘京涛，等). Acta Ecologica Sinica(生态学报)，2006, 26(11)：3826.
[5] YAN Yan, LIU Qin-huo, LIU Qiang, et al(闫 岩，柳钦火，刘 强，等). Journal of Remote Sensing(遥感学报)，2006, 10(5)：804.
[6] LIU Feng, LI Cun-jun, DONG Ying-ying, et al(刘 峰，李存军，董莹莹，等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报)，2011, 27(10): 101.
[7] QIAN Yong-lan, HOU Ying-yu, YAN Hao, et al(钱永兰，侯英雨，延 昊，等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报)，2012, 28(13): 166.
[8] HUANG Jing-feng, WANG Yuan, WANG Fu-min, et al(黄敬峰，王 渊，王福民，等). Transaction of the Chinese Society of Agricultural Engineering(农业工程学报), 2006, 22(8): 22.
[9] YAO Xia, TIAN Yong-chao, LIU Xiao-jun, et al(姚 霞，田永超，刘小军，等). Scientia Agricultura Sinica(中国农业科学)，2010, 43(13): 2661.
[10] Lamb D W, Steyn-Ross M, Schaare P, et al. International Journal of Remote Sensing, 2002, 23: 3619.
[11] JIANG Jin-bao, CHEN Yun-hao, HUANG Wen-jiang, et al(蒋金豹，陈云浩，黄文江，等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报)，2008, 24(1): 35.
[12] Miller J R, Hare E W, Wu J. International Journal of Remote Sensing, 1990, 11: 1755.
[13] Guyot G, Baret F, Jacquemoud S. Fundamentals and Prospective Applications. Kluwer Academic Publishers(Dordrecht), 1992. 145.
[14] Baret F, Jacquemoud S, Guyot G, et al. Remote Sensing of Environment, 1992, 41: 133.
[15] Dawson T P, Curran P J. IEEE Transaction on Geoscience and Remote Sensing, 2003, 41(4): 9l6.
[16] Cho M A, Skidmore A K. Remote Sensing of Environment, 2006, 101: 181.
[17] GU Yan-fang, DING Sheng-yan, CHEN Hai-sheng, et al(谷艳芳，丁圣彦，陈海生，等). Acta Ecologica Sinica(生态学报)，2008, 28(6)：2690.
[18] XIE Xiao-jin, SHEN Shuang-he, LI Ying-xue, et al(谢晓金，申双和，李映雪，等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报)，2010，26(3)：183.
[19] REN Hong-yan, ZHUANG Da-fang, PAN Jian-jun, et al(任红艳, 庄大方, 潘剑君, 等). Chinese Journal of Soil Science(土壤通报), 2008, 39(6): 1326.
[20] ZHANG Jun-hua, ZHANG Jia-bao, QIN Sheng-wu(张俊华，张佳宝，钦绳武). Plant Nutrition and Fertilizer Science(植物营养与肥料学报), 2010, 16(4): 874.
[21] LIU Zhan-yu, HUANG Jing-feng, WU Xin-hong, et al(刘占宇，黄敬峰，吴新宏，等). Chinese Journal of Applied Ecology(应用生态学报), 2006, 17(6): 997.
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