光谱学与光谱分析 |
|
|
|
|
|
Monitoring the Chlorophyll Fluorescence Parameter Fv/Fm in Compact Corn Based on Different Hyperspectral Vegetation Indices |
TAN Chang-wei1, HUANG Wen-jiang2, JIN Xiu-liang1, WANG Jun-chan1, TONG Lu1, WANG Ji-hua2, GUO Wen-shan1* |
1. Key Laboratory of Crop Genetics and Physiology of Jiangsu Province/Key Laboratory of Crop Physiology, Ecology and Cultivation in Middle and Lower Reaches of Yangtse River of Ministry of Agriculture, Yangzhou University, Yangzhou 225009, China 2. National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China |
|
|
Abstract In order to further assess the feasibility of monitoring the chlorophyll fluorescence parameter Fv/Fm in compact corn by hyperspectral remote sensing data, in the present study, hyperspectral vegetation indices from in-situ remote sensing measurements were utilized to monitor the chlorophyll fluorescence parameter Fv/Fm measured in the compact corn experiment. The relationships were analyzed between hyperspectral vegetation indices and Fv/Fm, and the monitoring models were established for Fv/Fm in the whole growth stages of compact corn. The results indicated that Fv/Fm was significantly correlated to the hyperspectral vegetation indices. Among them, structure-sensitive pigment index (SIPI) was the most sensitive remote sensing variable for monitoring Fv/Fm with correlation coefficient (r) of 0.88. The monitoring model of Fv/Fm was established on the base of SIPI, and the determination coefficients (r2) and the root mean square errors (RMSE) were 0.812 6 and 0.082 respectively. The overall results suggest that hyperspectral vegetation indices can be potential indicators to monitor Fv/Fm during growth stages of compact corn.
|
Received: 2011-10-30
Accepted: 2012-01-25
|
|
Corresponding Authors:
GUO Wen-shan
E-mail: guows@yzu.edu.cn
|
|
[1] ZHANG Qi-de, ZHANG Jian-hua, LIU He-qin, et al(张其德,张建华,刘合芹,等). Plant Nutrition and Fertilizer Science(植物营养与肥料学报), 2000, 6(1): 24. [2] CAO Cui-ling, LI Sheng-xiu(曹翠玲,李生秀). Chinese Bulletin of Botany(植物学通报), 2003, 20(3): 319. [3] MOU Hui-rong, JIANG Dong, DAI Ting-bo, et al(牟会荣,姜 东,戴廷波,等). Scientia Agricultura Sinica(中国农业科学), 2008, 41(2): 599. [4] Wright J D L, Ritchie G, Rasmussen V P, et al. Hyatt Regency Albuquerque. New Mexico, 2003. [5] Wang J H, Huang W J, Zhao C J, et al. The 9th International Symposium on Physical Measurements and Signatures in Remote Sensing, 2005, 722: 724. [6] Wim G M B, Samia A. Agriculture, Ecosystems and Environment, 2003, 94: 322. [7] REN Jian-qiang, LIU Xing-ren, CHEN Zhong-xin, et al(任建强,刘杏认,陈仲新,等). Chinese Journal of Applied Ecology(应用生态学报), 2009, 20(4): 876. [8] Bronson K E, Chua T L, Booker J D, et al. Soil Science Society of America Journal, 2003, 67: 1439. [9] Hansen P M, Schjoerring J K. Remote Sensing of Environment, 2003, 86: 542. [10] Fensholt R, Sandholt I, Rasmussen M S. Remote Sensing of Environment, 2004, 91: 490. [11] Adams M L, Philpot W D, Norvell W A, et al. International Journal of Remote Sensing, 1999, 20(18): 3663. [12] Smith K L, Steven M D, Colls J J. Remote Sensing of Environment, 2004, 92: 207. |
[1] |
MA Shuang, HAN Yang*, HUANG Meng-xue, WANG Ying, WU Miao-miao, JIN Lun. Study on Information and Model of High Polarization Hyperspectral about Vegetation-Soil Mixed Pixels Based on Different Vegetation Indices[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(11): 3549-3556. |
[2] |
WANG Xun1,2,3, LIU Shu-jie1,2,3*, JIA Hai-feng4, CHAI Sha-tuo1,2,3, DANG An-rong5, LIU Xue-hua4, HAO Li-zhuang1,2,3, CUI Zhan-hong1,2,3. Study on the Nutrition of Alpine Meadow Based on Hyperspectral Data [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2012, 32(10): 2780-2784. |
[3] |
GE Hao, LU Shan*, ZHAO Yun-sheng. Effects of Leaf Hair on Leaf Reflectance and Hyperspectral Vegetation Indices[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2012, 32(02): 439-444. |
[4] |
YAO Xia, ZHU Yan, FENG Wei, TIAN Yong-chao, CAO Wei-xing* . Exploring Novel Hyperspectral Band and Key Index for Leaf Nitrogen Accumulation in Wheat[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2009, 29(08): 2191-2195. |
|
|
|
|