光谱学与光谱分析 |
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Study on Relationship between New Characteristic Parameters of Spectral Curve and Chlorophyll Content for Rice |
XU Xin-gang1, ZHAO Chun-jiang1, WANG Ji-hua1, HUANG Wen-jiang2, LI Cun-jun1, LIU Huan-jun1, 2 |
1. National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China 2. College of Resources and Environmental Sciences, Northeast Agricultural University, Harbin 150030, China |
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Abstract It is of significance to monitor chlorophyll content with hyperspectral data for crop growth diagnosis in field. In the study, with the point of view that spectral curve shapes display “tall, low, fat and thin” morphological changes, we proposed some new characteristic parameters from spectral curve such as the ascensive or degressive velocities of segments composing peak or valley shapes in spectral curve, and angles formed by the lines fitting the segments of two sides of peak or valley curves, and used the normalized spectra to analyze correlation between these parameters and rice chlorophyll content. The result shows that (1) there is a good negative correlation between rice chlorophyll content and normalized reflectance spectra from 520-740 nm ; (2) characteristic parameters from green peak region of spectral curve display better correlation with rice chlorophyll content, which makes it possible to utilize the parameters to monitor crop chlorophyll content, and will provide new ideas and methods for carrying out crop growth diagnosis with hyperspectral data.
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Received: 2010-02-26
Accepted: 2010-05-28
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Corresponding Authors:
XU Xin-gang
E-mail: xxgpaper@126.com
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[1] Gitelson A A, Gritz Y, Merzlyak M N. Journal of Plant Physiology, 2003, 160(3): 271. [2] Datt B. International Journal of Remote Sensing, 1999, 20(14): 2741. [3] Daughtry C S, Walthall C L, Kim M S. Remote Sensing of Enviro nment, 2000, 74: 229. [4] TANG Yan-lin, HUANG Jing-feng, WANG Ren-chao(唐延林,黄敬峰,王人潮). Chinese Journal of Rice Science(中国水稻科学), 2004, 18(1): 59. [5] XUE Li-hong, LU Ping, YANG Lin-zhang(薛利红,卢 萍,杨林章). Journal of Plant Ecology(植物生态学报), 2006, 30(4): 675. [6] Madeira A C, Mendonca A, Ferreira M E, et al. Soil Science and Plant Analysis, 2000, 31(5): 631. [7] WANG Xiu-zhen, WANG Ren-chao, HUANG Jing-feng(王秀珍,王人潮,黄敬峰). Transaction of the Chinese Society of Agricultural Engineering(农业工程学报), 2002, 18(1): 9. [8] LIU Wei-dong, XIANG Yue-qin, ZHENG Lan-fen, et al(刘伟东,项月琴,郑兰芬,等). Journal of Remote Sensing(遥感学报), 2000, 4(4): 279. [9] Kim M S, Daughtry C S T, Chappelle E W, et al. Proceedings of ISPRS, Val d’ Isere, France, 1994. 299. [10] Blackburn G A. International Journal of Remote Sensing, 1998, 19(4): 657. [11] Broge N H, Lebance E. Remote Sensing of Environment, 2000, 76: 156. [12] LIU Liang-yun, HUANG Mu-yi, HUANG Wen-jiang, et al(刘良云, 黄木易, 黄文江, 等). Journal of Remote Sensing(遥感学报), 2004, 8(3): 278. [13] Kokaly R, Clark R N. Remote Sensing of Environment, 1999, 67: 267. [14] ZHANG Xia, LIU Liang-yun, ZHAO Chun-jiang, et al(张 霞, 刘良云, 赵春江, 等). Journal of Remote Sensing(遥感学报), 2003, 7(3): 176. [15] Yu B, Ostland M, Gong P, et al. IEEE Transactions on Geoscience and Remote Sensing, 1999, 37: 2567. [16] Pu R. International Journal of Remote Sensing, 2009, 30(11): 2759.
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