Taking Henan Province as research area,adopting MODIS-NDVI 16 d synthetic data sets during winter wheat regreening and elongation stage,winter wheat area was estimated by using remote sensing method.Using data excluding non-cultivated land,Minimum Noise Fraction Transform method was adopted to conduct data compression processing,and the Linear Pixel Unmixing method based on sequential maximum angle process cone model was used to conduct estimation and calculation.Compared with the actual statistic data,under the special climate impact,the relative error was 0-7％,indicating the method could be used to estimate crops' planting area.%以河南省作为研究区域,采用冬小麦返青及拔节期间的高光谱数据MODIS-NDVI 16 d合成数据集,利用遥感手段对河南省冬小麦面积进行估测.利用剔除非耕地后的数据,使用最小噪声分离(MNF)的方法进行数据压缩处理,并基于连续最大角突锥模型的线性混合像元分解法进行估测计算.估测结果与当年河南省实际统计数据相比,在特殊气候影响下,其相对误差也仅在0 ～7％,说明这种方法提取效果较好,在农作物面积估测中具有较强的应用价值.
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