Electric Transmission and Distribution Infrastructure Imagery Dataset

<b>Overview</b>The dataset contains fully annotated electric transmission and distribution infrastructure for approximately 321 sq km of high resolution satellite and aerial imagery from around the world. The imagery and associated infrastructure annotations span 14 cities and 5 continents, and were selected to represent diversity in human settlement density (i.e. rural vs urban), terrain type, and development index. This dataset may be of particular interest to those looking to train machine learning algorithms to automatically identify energy infrastructure in satellite imagery or for those working on domain adaptation for computer vision. Automated algorithms for identifying electricity infrastructure in satellite imagery may assist policy makers identify the best pathway to electrification for unelectrified areas.<br><b>Data Sources</b>This dataset contains data sourced from the LINZ Data Service licensed for reuse under CC BY 4.0. <br>This dataset also contained extracts from the SpaceNet dataset:SpaceNet on Amazon Web Services (AWS). “Datasets.” The SpaceNet Catalog. Last modified April 30, 2018 (link below).<br>Other imagery data included in this dataset are from the Connecticut Department of Energy and Environmental Protection and the U.S. Geological Survey. <br>Links to each of the imagery data sources are provided below as well as the link to the annotation tool and the github repository that provides tools for using these data.<br><b>Acknowledgements</b>This dataset was created as part of the Duke University Data+ project, "Energy Infrastructure Map of the World" (link below) in collaboration with the Information Initiative at Duke and the Duke University Energy Initiative.

### 概述
本数据集涵盖了全球范围内约321平方公里的高分辨率卫星与航空影像中全部经标注的输配电基础设施。该影像及配套基础设施标注数据覆盖全球5大洲的14座城市，选取标准涵盖人类聚居密度（即乡村与城市）、地形类型以及发展指数的多样性。本数据集对于旨在训练机器学习算法以自动识别卫星影像中能源基础设施的研究者，以及从事计算机视觉域自适应研究的人员而言具有较高的应用价值。用于识别卫星影像中电力基础设施的自动化算法，可辅助政策制定者为未通电区域确定最优的通电路径。
### 数据来源
本数据集部分数据源自LINZ数据服务（LINZ Data Service），其授权协议为CC BY 4.0。
本数据集还包含源自SpaceNet数据集的提取内容：Amazon Web Services（AWS）平台上的SpaceNet项目，《数据集》，SpaceNet目录，最后修改于2018年4月30日（链接见下文）。
本数据集包含的其他影像数据源自康涅狄格州能源与环境保护部（Connecticut Department of Energy and Environmental Protection）以及美国地质调查局（U.S. Geological Survey）。
下文提供了所有影像数据源的链接，同时也包含标注工具及用于处理该数据集的GitHub代码仓库链接。
### 致谢
本数据集是杜克大学Data+项目「全球能源基础设施地图」（链接见下文）的成果之一，由杜克大学信息倡议中心与杜克大学能源倡议中心合作完成。