长江经济带11省市（2米以内）尾矿库、露天开采、化工厂等工矿企业位置分布图集（2015-2019年）

通过获取长江经济带11省市的高分1号（2米）等高空间分辨率遥感影像，对其进行融合、几何、大气校正等预处理；采用深度学习目标检测方法解译提取工矿企业目标；在此基础上，结合目视检验，引入地理位置信息得到尾矿库、露天开采和化工厂等工矿企业位置分布遥感提取产品，并绘制专题图形成的图集。This dataset is an atlas developed through the following workflow: Firstly, acquire 2-meter high spatial resolution remote sensing images of Gaofen-1 (GF-1) from 11 provinces and municipalities in the Yangtze River Economic Belt. Secondly, perform preprocessing procedures including image fusion, geometric correction and atmospheric correction on the acquired images. Thirdly, employ deep learning-based object detection methods to interpret and extract industrial and mining enterprise targets. Fourthly, on the basis of the above work, combine visual inspection and geographic location information to generate remote sensing extraction products for the spatial distribution of industrial and mining enterprises such as tailings ponds, open-pit mines and chemical plants. Finally, draw thematic maps to form this complete atlas.