基于遥感信息和产量形成过程的小麦估产模型

A Model of Estimating Winter Wheat Yield Based on TM Image and Yield Formation

为提高小麦遥感估产的精确性和机理性,在广域环境条件下进行了多品种小麦的种植试验,并基于遥感信息获取的瞬时性与广域性,结合小麦产量形成的生理生态过程及其与气候环境的相互关系,建立了较为简化的小麦估产模型。通过组件化的设计方法实现了遥感信息和估产模型的耦合,即利用抽穗期遥感影像反演的LAI和生物量及时替换小麦估产模型对应参数变量,进而实现对小麦产量的估测。通过试验验证,小麦产量的预测值与实测值较为一致,预测小麦产量的RMSE为354.18 kg.ha-1,利用小麦估产模型可以对不同年份、不同区域的小麦产量形成情况进行监测预报。

By analyzing the relationships between remote sensing information and climate factors, an estimating model of winter wheat yield was developed based on yield formation process, and jointed with remote sensing information using software engineering and component technique. The model was validated using the data sets of different sites and TM image in heading stage, with the root mean square error （RMSE） of 354.18 kg·ha^-1 for winter wheat yield. The results indicated that the model was accurate and applicable for estimating winter wheat yield under different conditions. Yet, more experiment data in different eco-environments are required for wide testing of the present model.