大麦与谷类科学

为研究MODIS遥感数据及提取方法对估测沈阳水稻种植面积的适用性,利用MODIS数据,采用监督分类的方法,同时结合水稻不同生长发育阶段特点,对沈阳水稻种植面积进行数据提取,并制作了沈阳地区水稻种植面积分布图。将提取的水稻种植面积结果与统计局统计的面积及Landset遥感数据资料进行比较分析。结果表明,通过MODIS遥感监测水稻种植面积具有良好的效果,利用监督分类的方法提取的水稻种植面积精度达92%,因此,该方法用于沈阳地区水稻种植面积的提取,结果可靠,精度较高。

The current research aimed to assess the applicability of the method of extracting rice planting areas in Shenyang City based on the MODIS remote sensing data. To accomplish this goal,the MODIS data were analyzed by using the method of supervised classification and also taking into account the characteristics of the different stages of rice growth and development in Shenyang. As a result,rice planting areas in Shenyang were extracted,and their distribution map was also made. The results of extracted rice planting areas were compared with the statistical data obtained by the statistical bureau and the data resulting from Landset remote sensing. Consequently,the extraction method based on the MODIS remote sensing data proved to be effective; the accuracy of the extracted rice planting areas reached 92% with the MODIS supervised classification method. Thus,the method can be used to extract rice planting areas in Shenyang,whose accuracy is high.