中文摘要：

以江苏省如皋市和海安县冬小麦种植区域为研究对象,将基于小麦不同生育时期30m分辨率的HJ-1A/B CCD影像提取的归一化植被指数（NDVI）与土壤养分指标（全氮、有机质、有效磷、速效钾）分布状况有机结合,在空间变异性分析和主成分提取的基础上进行聚类分区.结果表明,基于抽穗期NDVI与土壤养分指标耦合的分区方法效果最佳,分区后各子区域内部NDVI值和土壤养分指标的变异系数分别在4.5%～6.1%和3.3%～87.9%,低于单纯基于土壤养分指标或NDVI进行分区的子区域内部的变异系数,大大缩小了区域管理单元内部的变异性.分区结果能提高按区管理作业的精度,可为区域性小麦生长管理和过程模拟奠定基础.

英文摘要：

Taking the winter wheat planting areas in Rugao City and Haian County of Jiangsu Province as test objects,the clustering defining of wheat growth management zones was made,based on the spatial variability analysis and principal component extraction of the normalized difference vegetation index（NDVI） data calculated from the HJ-1A/B CCD images（30 m resolution） at different growth stages of winter wheat,and of the soil nutrient indices（total nitrogen,organic matter,available phosphorus,and available potassium）.The results showed that the integration of the NDVI at heading stage with above-mentioned soil nutrient indices produced the best results of wheat growth management zone defining,with the variation coefficients of NDVI and soil nutrient indices in each defined zone ranged in 4.5%-6.1% and 3.3%-87.9%,respectively.However,the variation coefficients were much larger when the wheat growth management zones were defined individually by NDVI or by soil nutrient indices,suggesting that the newly developed defining method could reduce the variability within the defined management zones and improve the crop management precision,and thereby,contribute to the winter wheat growth management and process simulation at regional scale.