大型城市苫盖绿网监测工作体系构建与应用  

Construction and Application of Monitoring System for Green Tarpaulin Cover Net in Mega Cities

作　　者：孙扬 高大伟[2] 姜浩野 杜万光 SUN Yang;GAO Dawei;JIANG Haoye;DU Wanguang(Beijing Institute of Surveying and Mapping;Beijing Municipal Forestry and Parks Bureau)

机构地区：[1]北京市测绘设计研究院 [2]北京市园林绿化局

出　　处：《风景园林》2025年第3期82-89,共8页Landscape Architecture

摘　　要：【目的】北京市政府于2021年率先开展“揭网见绿”专项工作,而关于苫盖绿网(简称苫盖)监测工作如何开展,国内外尚未有相关研究,亟须建立一套全面的苫盖绿网监测工作体系。【方法】以北京市“揭网见绿”专项工作为例,采用遥感影像与深度学习等技术方法,利用U-Net模型训练苫盖样本,再通过人机交互模式进行苫盖绿网和管理地块的摸排与监测。【结果】建立了“建—施—核—监”苫盖绿网监测工作体系,完成了全市2020—2024年共8期的苫盖监测,初步建立了类型丰富的苫盖样本库。【结论】该工作体系在超大城市的揭网见绿工作中能够切实开展,苫盖样本库的建立为苫盖自动提取提供更丰富的数据基础,为今后此类工作的推进和研究提供了有效的参考和建议。[Objective]The urban governance of Beijing,the capital of China,not only affects Beijing’s development quality,but also directly impacts China’s international image.Therefore,in the face of the problem of a large amount of bare land generated in urban construction,the Beijing Municipal Government innovatively proposed the special work of“net uncovering for greening”in 2021,aiming to reduce dust pollution,improve the quality of Beijing’s ecological environment,and achieve the beautiful vision of“Green Beijing”by effectively managing the construction sites,temporary storage yards and other areas covered with tarpaulin cover.However,in the process of implementing this special work,how to efficiently and accurately monitor the status of the tarpaulin cover has become an urgent technical problem to be solved.There is still a gap in research in this field both domestically and internationally,and there is an urgent need for a scientific and systematic monitoring system to support the effective promotion of the special work of“net uncovering for greening”.[Methods]Taking the special work of“net uncovering for greening”in Beijing as an example,this research combines the technical means of remote sensing interpretation and deep learning with the U-Net model to train the samples of tarpaulin cover.Then,through human-computer interaction mode,the extraction of the tarpaulin cover and the land parcel under management is achieved.Specifically,the research first utilizes high-resolution satellite remote sensing images as the basic data source,and ensures data quality through preprocessing measures such as image correction and enhancement.Subsequently,representative samples of tarpaulin cover are selected for annotation,and a training dataset is constructed.This process is crucial because high-quality sample data directly affects the accuracy and generalization capability of subsequent model training.The U-Net model,with its unique encoding decoding structure,is able to learn and capture the fine features

关 键 词：风景园林 揭网见绿 空间大数据分析 深度学习 U-Net模型 北京 

分 类 号：TU981.2[建筑科学—城市规划与设计]