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4处路侧固定监控摄像头连续视频为基础，按照能见度仪观测数据进行视频时间筛选，以1分钟/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8个文件夹，分别对应8个能见度等级（0-100m、100-200m、200-300m、300-400m、400-500m、500-1000m、1000-2000m、NULL），共14679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": "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": 1530664559, "ds_files_count": 0, "ds_format": "*jpg", "ds_space_res": "100m", "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "0b7968f3-3dad-4ddc-8448-48843d675c3b.jpg", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "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": [ "170.4510" ], "quality_level": 0, "publish_time": "2026-07-02 16:25:15", "last_updated": "2026-07-02 16:25:15", "protected": false, "protected_to": "2026-12-29 00:00:00", "lang": "zh", "cstr": "11738.11.ncdc.snow.db7564.2026", "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 caused by wind-blown snow disasters is a key factor affecting high-grade highway traffic safety and operating efficiency. Refined visibility classification data is of great significance for model training, management and control strategy formulation, and roadside edge computing equipment deployment. This dataset is based on continuous videos from 4 roadside fixed surveillance cameras at the K264+700-K272+700 section of the G3015 Keta Expressway in Mayitas Wind Area, Xinjiang from November 2024 to March 2025. Video time screening is carried out according to the observation data of the visibility meter, frame extraction is carried out at a frequency of 1 minute/frame, and is prepared using a manual hierarchical labeling method. The dataset consists of a compressed package, containing 8 folders, corresponding to 8 visibility levels (0-100m, 100-200m, 200-300m, 300-400m, 400-500m, 500-1000m, 1000-2000m, NULL). A total of 14679 roadside cameras captured images, with an image spatial resolution of 640×480 pixels. This dataset can be used to characterize the temporal and spatial distribution and change laws of highway visibility under wind-blown snow conditions, and serve traffic meteorological warning and highway dynamic management and control in wind-blown snow-prone areas.", "ds_time_res": "", "ds_acq_place": "mayitas wind zone", "ds_space_res": "", "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, "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": [ "自然地理学" ], "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" }