基于高分遥感数据的农业大棚面积提取及分析——以北京市大兴区为例

Extraction and analysis of agricultural greenhouse area based on high score remote sensing data——Taking Daxing district city of Beijing as an example

农业大棚的快速发展也带来了环境污染、耗水增加等问题,因此及时有效地获取大棚空间信息,是农业、水利及环境部门监管的需求。以北京市大兴区为例,采用资源三号卫星影像,基于面向对象的思想,融合多种影像特征构建能够反映农业大棚信息的指数模型,通过最邻近分类方法,建立农业大棚信息高效、快速及准确提取的技术方法。结果表明,大兴大棚面积变化情况与大兴区近几年发展建设相吻合。该方法为农业大棚监测提供了新的技术手段,为农业大棚整体空间布局、发展趋势分析及科学监督管理提供基础技术支撑。

The rapid development of agricultural greenhouse has brought environmental pollution, water con- sumption and other issues, therefore, timely and effective access to greenhouse space information, is the de- mand of agriculture, water conservancy, environmental sector regulation. In this paper, taking Daxing district city of Beijing as an example, Using landsat three satellite images, based on object-oriented thinking, the in- tegration of a variety of image features, construct the index model can reflect the agricultural greenhouse infor- mation, through the nearest neighbor classification method, establish a method of agricultural greenhouse effi- ciently, fast and accurate extraction. The results show that the change of greenhouse area is consistent with the development and construction of Daxing district in recent years. This method provides a new technical means for the agricultural greenhouse monitoring, and provides basic technical support for the overall spatial distri- bution, development trend analysis, scientific supervision and management of the agricultural greenhouse.