基于多时相遥感影像的花生种植面积提取--以彰武县北部为例

摘要

Taking the cultivated lands for planting peanut of four villages and towns (Daleng Township、Zhanggutai Town、Sihecheng Township and Al Township) in northern Zhangwu country as the study area, the authors used the remote sensing image of three periods to extract the NDVI (Normalized Difference Vegetation Index) and its characteristic information of these different kinds of crops, whose law of phenology are based on. Meanwhile the supervised classification method was investigated to extract the planting area and spatial distribution of peanut. This investigation shows that this method can not only reflect the distribution of crops but also be helpful in improving the precision in the crop classification with different phenology characteristics, which provide the scientific basis for distribution and planting patterns of the main crops in this area.%本文以彰武县北部4个乡镇（大冷乡、章古台镇、四合城乡和阿尔乡）种植花生的耕地为研究对象，基于不同农作物类型之间的物候特征差异，借助3个时期的遥感影像提取农作物的不同NDVI特征值和影像的特征信息，采用监督分类的方法提取花生的种植面积及空间分布情况。结果表明该方法对于区分不同物候特征下的作物分类精度高，较好的反映作物的分布状况，可为该地区主要作物种植分布情况提供科学依据。