LI Jun,SONG Wen-long.Study on Detection Method of Cyclamen Leaf Water Content Based on Spectral Index[J].Northern Horticulture,2014,38(12):75-77.
基于光谱指数的仙客来叶片含水率检测方法研究
- Title:
- Study on Detection Method of Cyclamen Leaf Water Content Based on Spectral Index
- 文章编号:
- 1001-0009(2014)13-0075-03
- Keywords:
- Cyclamen; leaf water rate; reflectance spectra; spectral index
- 分类号:
- S 682
- 文献标志码:
- A
- 摘要:
- 以仙客来为试材,研究了在不同水分处理情况下仙客来冠层光谱与叶片含水率之间的关系,并对不同叶片含水率与水分指数之间关系进行了线性、二项式与指数反演研究。结果表明:不同时期下冠层叶片水含量的敏感波段为944、1 033、1 105、1 970、2 813、3 350 nm;采用计算归一化水分指数NDVI (820,1 600)进行光谱指数计算,结果表明,指数回归模型检测结果最优,决定系数为0.73006;所建立的回归模型可以进行仙客来水分状况监测。
- Abstract:
- Taking Cyclamen as materials,the relationship between canopy reflectance characteristics and plant water status of Cyclamen under different water levels were studied and the correlations between normalized difference water index and Cyclamen leaf water content were studied by linear fit,polynomialfit and exponential fit.The results showed that the water contents of canopy leaf had a significant correlation with the spectral reflectance bands of 944,1 033,1 105,1 970,2 813,3 350 nm at different growth stages.Also,the water contents of canopy leaf could be a best correlation with the normalized difference vegetation index NDVI (820,1 600),whose coefficient of determination was 0.73006.The best regression models to estimate leaf water rate were set up.
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备注/Memo
第一作者简介:李珺(1978-),女,齐齐哈尔人,博士,讲师,研究方向为植物信息检测。E-mail:lijun2010@nefu.edu.cn.
责任作者:宋文龙(1973-),男,吉林通化人,博士,教授,现主要从事林业信息检测研究等工作。E-mail:wlsong139@126.com.
基金项目:黑龙江省自然科学基金资助项目(QC2013C035);
黑龙江省教育厅科学技术研究资助项目(12533014);
黑龙江省博士后资助项目(LRB11-334);
中央高校基本科研业务费专项资金资助项目(2572014CB13)。
收稿日期:2014-05-19