摘要
针对基于植被指数(VI)的森林叶面积指数(LAI)统计模型反演方法通用性较差的问题,研究基于光谱响应函数的不同传感器相似波段的光谱归一化方法,构建基于光谱归一化的阔叶林LAI遥感估算模型,并分析光谱归一化前后LAI估算模型对不同传感器的适用性.以福州市ALOS AVNIR-2、Landsat5 TM和MODIS作为多传感器数据源.结果表明:利用光谱响应函数对不同传感器的相应波段进行光谱归一化校正,能较好地消除传感器的差异;基于光谱归一化后VI建立的阔叶林LAI估算模型,对不同传感器均具有较好的适用性,可以减少模型对传感器的依赖.
Because of the low commonality of empirical model when estimating leaf area index（LAI） from vegetation index（VI） calculated by remote sensing data,the application of spectral normalized VI on broadleaf forest LAI estimation was studied based on the normalization methods for similar bands of different sensors with spectral response functions.The applicability of the LAI estimation model was analyzed and the model was applied to different sensors.The remote sensing data used were ALOS AVNIR-2,Landsat5 TM and MODIS covering Fuzhou area.The results showed that spectral normalization may reduce the difference of different sensors,and the LAI estimation model based on spectral normalized VI was less sensor-dependent and could be generally applied to multi-sensors.
出处
《福州大学学报（自然科学版）》
CAS
CSCD
北大核心
2011年第5期713-718,共6页
Journal of Fuzhou University(Natural Science Edition)
基金
福建省杰出青年科学基金资助项目(2009J06024)
关键词
叶面积指数
光谱归一化
经验模型
阔叶林
多传感器
leaf area index
spectral normalization
empirical model
broadleaf forest
multi-sensors
