Crowdsourced air traffic data from The OpenSky Network 2020 [CC-BY]

WARNING! This dataset is no longer updated after January 2022. Refer to the original dataset with different license terms for an up to date version. Motivation The data in this dataset is derived and cleaned from the full OpenSky dataset to illustrate the development of air traffic during the COVID-19 pandemic. It spans all flights seen by the network's more than 2500 members since 1 January 2019. More data will be periodically included in the dataset until the end of the COVID-19 pandemic. License Creative Commons CC-BY The only difference with the original dataset comes from anonymised aircraft information. WARNING:This dataset is now longer updated after January 2022. The original dataset is still updated. Disclaimer The data provided in the files is provided as is. Despite our best efforts at filtering out potential issues, some information could be erroneous. Origin and destination airports are computed online based on the ADS-B trajectories on approach/takeoff: no crosschecking with external sources of data has been conducted. Fields origin or destination are empty when no airport could be found. Aircraft information come from the OpenSky aircraft database. Fields typecode and registration are empty when the aircraft is not present in the database. Description of the dataset One file per month is provided as a csv file with the following features: callsign: the identifier of the flight displayed on ATC screens (usually the first three letters are reserved for an airline: AFR for Air France, DLH for Lufthansa, etc.) number: the commercial number of the flight, when available (the matching with the callsign comes from public open API) aircraft_uid: a unique anonymised identifier for aircraft; typecode: the aircraft model type (when available); origin: a four letter code for the origin airport of the flight (when available); destination: a four letter code for the destination airport of the flight (when available); firstseen: the UTC timestamp of the first message received by the OpenSky Network; lastseen: the UTC timestamp of the last message received by the OpenSky Network; day: the UTC day of the last message received by the OpenSky Network; latitude_1, longitude_1, altitude_1: the first detected position of the aircraft; latitude_2, longitude_2, altitude_2: the last detected position of the aircraft. Examples Possible visualisations and a more detailed description of the data are available at the following page: <https://traffic-viz.github.io/scenarios/covid19.html> Credit Martin Strohmeier, Xavier Olive, Jannis Lübbe, Matthias Schäfer, and Vincent Lenders "Crowdsourced air traffic data from the OpenSky Network 2019–2020" Earth System Science Data 13(2), 2021 https://doi.org/10.5194/essd-13-357-2021警告！本数据集自2022年1月起不再更新。如需获取最新版本，请参阅采用不同许可协议的原始数据集。 研究背景 本数据集源自完整的OpenSky数据集并经过清洗处理，用于展示新冠疫情期间的空中交通发展态势。其涵盖了2019年1月1日以来，该网络2500余名成员所观测到的全部航班数据。在新冠疫情结束前，本数据集将定期补充新的数据。 许可协议 采用知识共享署名许可协议（Creative Commons CC-BY）。本数据集与原始数据集的唯一区别在于对航空器信息进行了匿名化处理。 警告！本数据集自2022年1月起不再更新，原始数据集仍在持续更新中。 免责声明 本数据集文件中的数据按「现状」提供。尽管我们已尽力过滤潜在问题，但仍可能存在部分错误信息。起降机场信息基于进场/离场阶段的ADS-B（Automatic Dependent Surveillance-Broadcast，自动相关监视广播）轨迹在线计算得出，未与外部数据源进行交叉验证。若无法识别对应机场，则出发地（origin）与目的地（destination）字段将留空。航空器信息源自OpenSky航空器数据库，若数据库中无对应航空器记录，则机型代码（typecode）与注册号（registration）字段将留空。 数据集说明 本数据集按月提供，每个文件为CSV（Comma-Separated Values，逗号分隔值）格式，包含以下字段： - 呼号（callsign）：空中交通管制（Air Traffic Control）屏幕上显示的航班标识符，通常前三位为航空公司代码，例如AFR代表法国航空、DLH代表汉莎航空等 - 航班号（number）：可获取的商业航班编号，与呼号的匹配关系来自公开开放API - 航空器唯一匿名标识符（aircraft_uid）：用于标识航空器的唯一匿名编码 - 机型代码（typecode）：航空器型号，可获取时提供 - 出发机场代码（origin）：航班出发机场的四字母代码，可获取时提供 - 目的地机场代码（destination）：航班目的地机场的四字母代码，可获取时提供 - 首次观测时间戳（firstseen）：OpenSky网络接收到的第一条航班报文的UTC（Coordinated Universal Time，协调世界时）时间戳 - 末次观测时间戳（lastseen）：OpenSky网络接收到的最后一条航班报文的UTC（Coordinated Universal Time，协调世界时）时间戳 - 观测日期（day）：OpenSky网络接收到最后一条报文的UTC（Coordinated Universal Time，协调世界时）日期 - 首次观测位置（latitude_1, longitude_1, altitude_1）：航空器首次被探测到的纬度、经度与高度 - 末次观测位置（latitude_2, longitude_2, altitude_2）：航空器末次被探测到的纬度、经度与高度 示例 本数据集的可视化样例与更详细的说明可访问以下页面：<https://traffic-viz.github.io/scenarios/covid19.html> 引用致谢 本数据集源自Martin Strohmeier、Xavier Olive、Jannis Lübbe、Matthias Schäfer与Vincent Lenders发表于《Earth System Science Data》2021年第13卷第2期的论文《Crowdsourced air traffic data from the OpenSky Network 2019–2020》，DOI: 10.5194/essd-13-357-2021

搜集汇总

背景与挑战

背景概述

该数据集是从OpenSky Network众包的航空交通数据，专门用于分析COVID-19大流行期间的航空交通变化，覆盖2019年1月至2021年12月的航班信息。数据以月度CSV文件形式提供，包含航班呼号、起降机场、时间戳和位置等关键字段，但飞机信息已匿名化，且自2022年1月起不再更新。