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。
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 vegetation index（NDVI）,especially in the arid and semi-arid areas.A model was built for inversion of LAI with NCVI,and experience validation.The results showed that there was a good linear correlation between the simulation LAI inversed from NCVI model and the real LAI values.The model breaking the limitations of the traditional empirical models for LAI inversion has a good result for estimating LAI of the dense canopy whose LAI value was greater than 3.In addition,NCVI model was very sensitive to the water environment of soil,and the inversion result in the arid and semi-arid areas was superior to the general area.
出处
《光谱学与光谱分析》
SCIE
EI
CAS
CSCD
北大核心
2011年第2期478-482,共5页
Spectroscopy and Spectral Analysis
基金
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
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
Leaf area index
Normalized composite vegetation index（NCVI）
Canopy water content
Remote sensing inversion
Corn
