摘要
灌区中不同作物的种植面积是分配灌溉用水的重要依据,遥感方法不仅可以提取各作物种植面积,而且可以获取其空间分布情况。基于2009年Landsat5-TM影像,综合分析宝鸡峡灌区农作物种植特点和光谱特征,运用决策树分类法获取灌区各作物面积。并由地面实际调查数据和高分辨率影像对分类精度进行评价,各地物精度均达85%以上。结果表明该方法适合灌区的作物分类。
Area of different crops in the irrigation district play an important role in the allocation of irrigation water. Remote sensing can not only extract areas of different crops, but also obtain their spatial distribution. Through 2009 Landsat5-TM images, the present study performs an analysis of regional plant and crop spectral characteristics of Baojixia irrigation district. And crop areas are extracted by using Decision Tree Classification. Based on ground survey data and high resolution images, accuracy assessment suggests good agreement by over 85 %. The results show that this method can be reasonably used to classify different crops in an irrigation district.
出处
《节水灌溉》
北大核心
2012年第10期59-62,共4页
Water Saving Irrigation
基金
国家"十二五""863"项目"作物需水信息采集与智能控制灌溉技术"(2011AA100509)
国家"十二五"科技支撑项目"灌区用水实时调控技术与方法"(2011BAD25B03)
国家"十二五"科技支撑项目"灌区实时灌溉预报与输水标准化技术与设备"(2012BAD08B01)
关键词
遥感
作物面积
信息提取
宝鸡峡灌区
remote sensingl crop area
information extraction
Baojixia irrigation district
