| 融合冠层水分特征的光谱参数NCVI及反演玉米LAI |
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| 作者姓名： | Cao S Liu XN Liu ML Cao S Yao S |
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| 作者单位： | 1. 中国地质大学(北京)信息工程学院,北京,100083
2. 中国水利水电第八工程局,湖南,长沙,410000 |
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| 基金项目： | 国家自然科学基金项目(40771155); 国家高技术研究发展计划(863计划)项目(2007AA12Z174)资助 |
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| 摘 要： | 精确反演农作物冠层叶面积指数对指导作物管理和作物估产具有非常重要的意义。以吉林市郊区玉米种植区为试点,考虑冠层叶片水分含量对LAI的贡献,在NDVI的基础上结合表征冠层叶片水分含量的植被指数DSWI,提出一种归一化综合植被指数NCVI,以此建立模型反演LAI,并对模型进行检验。结果表明:NCVI模型反演LAI值与实测值之间存在良好的对应关系,此模型突破了传统经验模型对稠密冠层LAI反演的局限,对LAI值大于3的冠层反演效果良好;另外,NCVI模型对土壤水环境十分敏感,在干旱半干旱地区的反演效果明显优于一般区域。
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| 关 键 词： | 叶面积指数 归一化综合植被指数 冠层水分含量 遥感反演 玉米 |
Estimation of leaf area index by normalized composite vegetation index fusing the spectral feature of canopy water content |
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| Cao S,Liu XN,Liu ML,Cao S,Yao S.Estimation of leaf area index by normalized composite vegetation index fusing the spectral feature of canopy water content[J].Spectroscopy and Spectral Analysis,2011,31(2):478-482. |
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| Authors: | Cao Shi Liu Xiang-Nan Liu Mei-Ling Cao Shan Yao Shuai |
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| Institution: | CAO Shi1,LIU Xiang-nan1,LIU Mei-ling1,CAO Shan2,YAO Shuai1 1.School of Information Engineering,China University of Geosciences,Beijing 100083,China 2.Sinohydro Bureau No.8,Changsha 410000,China |
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| Abstract: | The accurate inversion of leaf area index(LAI) in canopy is very important for guiding crop management and assessing crop yield.Sixty samples belonging to corn in four different areas of Jilin City were scanned by ASD field pro3 and LAI-2000 for optical data and LAI.A new vegetation index,the normalized composite Vegetation index(NCVI),containing the factor of canopy water content,is proposed in the present paper for a better quantitative estimation of LAI than with the remotely sensed normalized difference... |
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| Keywords: | Leaf area index Normalized composite vegetation index(NCVI) Canopy water content Remote sensing inversion Corn |
| 本文献已被 CNKI 万方数据 PubMed 等数据库收录！ |
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