农业工程学报2012，Vol.28Issue(11)：158-163,6.DOI:10.3969/j.issn.1002-6819.2012.11.026
WOFOST模型同化时序HJ CCD数据反演叶面积指数
Retrieving LAI by assimilating time series HJ CCD data with WOFOST
摘要
Abstract
For the accuracy improvement of retrieving Leaf Area Index(LAI) from remote sensing images, the least square method was used as the algorithm to assimilate time series HJ CCD images with WOFOST based on its fundamental principals analysis. The calibrated crop growth model was then used for crop growth monitoring and yield estimation in Yutian, Hebei province. The results showed that the error of yield and LAI compared with their site specific counterparts were improved by 2.28% and 4.98% respectively, which shows the feasibility of the presented method and provides a new choice for spatialising crop growth model at regional scale.关键词
遥感/最小二乘法/算法/环境减灾小卫星CCD/同化/叶面积指数/WOFOSTKey words
remote sensing, least square method, algorithms, assimilation, LAI, HJ CCD, WOFOST分类
农业科技引用本文复制引用
赵虎,裴志远,马尚杰,王连林,马志平..WOFOST模型同化时序HJ CCD数据反演叶面积指数[J].农业工程学报,2012,28(11):158-163,6.基金项目
国防科工委-HJ-1卫星数据应用研究专题(项目编号:2009A02A0100),农业部规划设计研究院自选课题(项目编号:201104) （项目编号:2009A02A0100）
