风吹雪灾害引发的低能见度是影响高等级公路交通安全与运行效率的关键因素，精细化能见度分级数据对于模型训练、管控策略制定及路侧边缘计算设备部署具有重要意义。本数据集以2024年11月至2025年3月新疆玛依塔斯风区G3015克塔高速K264+700—K272+700路段5处路侧固定监控摄像头连续视频为基础，首先进行风吹雪事件时间筛选，再以1分钟每帧的频次进行抽帧提取，采用人工分级标注方法制备而成。数据集由1个压缩包构成，包含7个文件夹，分别对应7个能见度等级（0-100m、100-200m、200-300m、300-400m、400-500m、>500m、NULL），共14,678张路侧摄像头采集图像，图像空间分辨率为640×480像素。本数据集采用双人独立标注与专家复核机制，并剔除外因产生的缺失及异常数据，不进行插值补全，以确保实测样本标注准确、真实可靠。可用于表征风吹雪条件下公路能见度的时空分布及变化规律，服务风吹雪易发区的交通气象预警与高速公路动态管控。", "ds_source": "", "ds_process_way": "", "ds_quality": "", "ds_acq_start_time": "2024-11-01 00:00:00", "ds_acq_end_time": "2025-03-31 00:00:00", "ds_acq_place": "新疆玛依塔斯风区", "ds_acq_lon_east": 84.25333333333333, "ds_acq_lat_south": 46.19138888888889, "ds_acq_lon_west": 84.10722222222222, "ds_acq_lat_north": 46.246944444444445, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 1536268569, "ds_files_count": 1, "ds_format": "*.jpg", "ds_space_res": "100 m", "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "737dffb8-894c-4044-b839-1719998b23f0.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "None", "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "ds_serv_man": null, "ds_serv_phone": null, "ds_serv_mail": null, "doi_value": "", "subject_codes": [ "170" ], "quality_level": 0, "publish_time": "2026-08-26 16:15:52", "last_updated": "2026-08-26 16:17:51", "protected": false, "protected_to": "2027-02-22 00:00:00", "lang": "zh", "cstr": "11738.11.ncdc.db7472.2026", "i18n": { "en": { "title": "A dataset of blowing snow event visibility classification for the Makitasi Wind Zone, China, 2024–2025", "ds_format": "*.jpg", "ds_source": "", "ds_quality": "", "ds_ref_way": "", "ds_abstract": "
Low visibility induced by blowing snow disasters is a key factor affecting traffic safety and operational efficiency on high-grade highways. Fine-grained visibility grading data are of great significance for model training, control strategy formulation, and the deployment of roadside edge computing devices. Based on continuous videos from four roadside fixed monitoring cameras and visibility instrument observations along the G3015 Keketa Expressway (K264+700–K272+700) in the Mayitas Wind Zone, Xinjiang, from November 2024 to March 2025, this dataset was constructed by first temporally filtering blowing snow events, then extracting frames at a frequency of 1 frame per minute, and finally applying manual grading annotation. The dataset consists of one compressed archive containing 7 folders corresponding to 7 visibility levels (0–100 m, 100–200 m, 200–300 m, 300–400 m, 400–500 m, 500–1000 m, >500m and NULL), comprising 14,678 roadside camera images with a spatial resolution of 640×480 pixels. It also includes one visibility instrument data file in tabular format, containing time, wind speed, wind direction, minimum visibility, and average visibility. This dataset employed dual independent annotation followed by expert review. Missing and anomalous data caused by external factors were excluded without interpolation, ensuring the accuracy, authenticity, and reliability of the annotated observations. This dataset can be used to characterize the spatiotemporal distribution and variation of highway visibility under blowing snow conditions, serving traffic meteorological warning and dynamic expressway control in blowing snow-prone areas.", "ds_time_res": "", "ds_acq_place": "Xinjiang Mayitas Wind Area", "ds_space_res": "100 m", "ds_projection": "", "ds_process_way": "", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 0, "license_type": "https://creativecommons.org/licenses/by/4.0/", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "belong_to_nieer": false, "allow_update_data": false, "ds_topic_tags": [ "玛依塔斯风区", "2024-2025", "风吹雪", "能见度分级", "高速公路" ], "ds_subject_tags": [ "地球科学" ], "ds_class_tags": [], "ds_locus_tags": [ "玛依塔斯风区" ], "ds_time_tags": [ 2024, 2025 ], "ds_contributors": [ { "true_name": "马磊", "email": "569594849@qq.com", "work_for": "新疆交通科学研究院有限责任公司", "country": "中国" }, { "true_name": "胡智轩", "email": "553920180@q.com", "work_for": "新疆交通科学研究院有限责任公司", "country": "中国" }, { "true_name": "赵静", "email": "vwv1175@126.com", "work_for": "新疆交通科学研究院有限责任公司 科技创新研究院", "country": "中国" }, { "true_name": "李鹏波", "email": "1084124053@qq.com", "work_for": "新疆交通科学研究院有限责任公司", "country": "中国" }, { "true_name": "赵琴", "email": "zhaoqin@tyust.edu.cn", "work_for": "太原科技大学车辆与交通工程学院", "country": "中国" }, { "true_name": "潘星宇", "email": "panxingyuswust@163.com", "work_for": "新疆交通科学研究院有限责任公司", "country": "中国" }, { "true_name": "李肽脂", "email": "1476270746@qq.com", "work_for": "新疆交通科学研究院有限责任公司", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "马磊", "email": "569594849@qq.com", "work_for": "新疆交通科学研究院有限责任公司", "country": "中国" }, { "true_name": "胡智轩", "email": "553920180@q.com", "work_for": "新疆交通科学研究院有限责任公司", "country": "中国" }, { "true_name": "赵静", "email": "vwv1175@126.com", "work_for": "新疆交通科学研究院有限责任公司 科技创新研究院", "country": "中国" }, { "true_name": "李鹏波", "email": "1084124053@qq.com", "work_for": "新疆交通科学研究院有限责任公司", "country": "中国" }, { "true_name": "赵琴", "email": "zhaoqin@tyust.edu.cn", "work_for": "太原科技大学车辆与交通工程学院", "country": "中国" }, { "true_name": "潘星宇", "email": "panxingyuswust@163.com", "work_for": "新疆交通科学研究院有限责任公司", "country": "中国" }, { "true_name": "李肽脂", "email": "1476270746@qq.com", "work_for": "新疆交通科学研究院有限责任公司", "country": "中国" } ], "ds_managers": [ { "true_name": "赵琴", "email": "zhaoqin@tyust.edu.cn", "work_for": "太原科技大学车辆与交通工程学院", "country": "中国" } ], "category": "灾害" }