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作者	单位
李卫国1，李花1,2，王纪华3 ，黄文江3	1. 江苏省农业科学院资源与环境研究所，江苏南京 210014； 2. 安徽农业大学，安徽合肥 230036； 3. 国家农业信息化工程技术研究中心，北京 100089

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中文摘要:

为给遥感技术在冬小麦长势分级监测预报中的应用提供依据，以江苏省兴化市为例，利用TM卫星遥感影像，提取冬小麦的种植面积并分析了长势情况。在利用GPS实地取样调查和建立解译标志的基础上，进行TM影像校正、非监督分类和人机交互式判读解译等操作，并将GPS样点数据校验贯穿到整个分类过程中，信息解译精度在95%以上。结合NDVI指数反演的叶面积指数数据进行小麦长势分级分类，并制作了兴化市冬小麦长势分级监测图。

英文摘要:

Monitoring winter wheat growth status at different stages by remote sensing technology may obtain the growth information of winter wheat timely and widely, based on which many crop producers and agricultural managements can frame and adopt efficient management measures to achieve the objective of high yield and good quality. The winter wheat growing area was extracted from the Landsat/TM image and the growth status were analyzed in Xinghua city, Jiangsu province. The geographical positions and some other information of the test sites where samples collected were measured by the handhold GPS. The GPS data and the interpretation mark are used to correct the TM image, to verify the unsupervised classification, and to assist human computer interactive interpretation and other operations. The test data had been participated the whole classification process. The accuracy of information interpret is more than 95%. And combined with NDVI index inversion of leaf area index data classification grading of wheat growth, a winter wheat growing hierarchical classification grading thematic map of Xinghua city was obtained.

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