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作 者:张学艺[1,2] 李剑萍[1] 官景得[1] 秦其明[3] 马力文[1] 曹宁[1]
机构地区:[1]宁夏气象防灾减灾重点实验室,银川750002 [2]南京信息工程大学,南京210044 [3]北京大学遥感与地理信息系统研究所,北京100871
出 处:《国土资源遥感》2011年第3期43-47,共5页Remote Sensing for Land & Resources
基 金:中国气象局气象行业科研专项(编号:GYHY200806022);科技部农业科技成果转化资金项目(编号:2006GB24160429);宁夏自治区科技攻关项目(编号:KGZ-16-10-09)共同资助
摘 要:为了获得宁夏灌区春小麦叶面积指数(Leaf Area Index,LAI)动态模拟的最佳方法,根据宁夏灌区典型农业试验观测站春小麦LAI的大田观测数据,分别运用农业气象学和遥感反演等方法模拟春小麦LAI的动态变化,并对两种方法的模拟精度进行综合对比分析。结果表明,运用分段函数(三叶至抽穗期运用遥感反演法,抽穗至乳熟期运用农业气象学法)能最优模拟春小麦全生育期LAI的动态变化。In order to obtain the best dynamic simulation method for the Leaf Area Index (LAI) of the spring wheat in Ningxia irrigation area, the authors, based on the spring wheat LAI data observed over the land from the typical agrometeorological experiment station in Ningxia irrigating area, used the agrometeorological method and the remote sensing inverting method to simulate the dynamic changes of the LAI and then to compare the simulation accuracies of the two kinds of methods. The best simulated model for the spring wheat LAI in the whole growth period was eventually obtained. It is revealed that, when LAI is less than 4.5 and PD is less than 40, the remote sensing inverting method should be adopted for simulation, and when PD is more than 40, the agrometeorological method should be employed, and only by combination of the two methods can the best result be achieved.
分 类 号:TP79[自动化与计算机技术—检测技术与自动化装置]
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