Environmental and Road Surface Capture along Dalton Highway, Central Alaska Wilderness Area, Alaska, 2024.

This dataset comprises high-resolution aerial images captured using a Parrot Anafi remote-controlled aircraft along various sections of the Dalton Highway in Alaska during August 2024. The Dalton Highway, a critical transportation corridor in the Arctic, traverses regions prone to permafrost degradation and dynamic environmental changes. The dataset provides detailed visual records of road conditions and the surrounding environment, offering valuable insights for monitoring permafrost subsidence, assessing infrastructure stability, and supporting predictive analytics related to climate impacts on Arctic transportation networks. This dataset contributes to ongoing efforts to expand geospatial data availability in Arctic regions, enhancing research focused on cold-region environments. The aerial imagery, collected at multiple road sections, is georeferenced and systematically cataloged to facilitate longitudinal studies and interdisciplinary research. This resource is intended to support diverse applications, including machine learning model development, environmental monitoring, and the evaluation of road performance under changing climatic conditions.本数据集收录了2024年8月期间，使用派诺特Anafi（Parrot Anafi）遥控飞行器于阿拉斯加州道尔顿高速公路（Dalton Highway）多个路段采集的高分辨率航拍影像。道尔顿高速公路（Dalton Highway）作为北极地区关键交通走廊，穿越了易发生永久冻土（permafrost）退化与动态环境变化的区域。本数据集提供了道路状况与周边环境的详细可视化记录，可为永久冻土沉降监测、基础设施稳定性评估，以及开展针对北极交通网络气候影响的预测分析提供宝贵参考。本数据集助力当前扩大北极地区地理空间数据可得性的工作，为聚焦寒带环境的研究提供有力支撑。本次采集自多个路段的航拍影像均经过地理配准与系统编目，可有效支持纵向研究与跨学科研究的开展。该数据集可支撑多元应用场景，包括机器学习模型开发、环境监测，以及气候变化条件下道路性能评估等。