Electro-Optical and Infrared Aerial Dataset covering Road Networks & Environment in Nome,Alaska-Site3, Sept. 2022.

Remote sensing enables the rapid, accurate, and non-destructive collection of geospatial data, facilitating access to remote and environmentally sensitive regions in near real-time. This dataset comprises electro-optical (EO) and infrared (IR) aerial imagery of road networks and surrounding infrastructure in remote areas outside Nome, Alaska. The data was collected during an autumn 2022 survey, coinciding with the aftermath of Typhoon Merbok. Some of the captured imagery documents storm-induced damage before initial repairs were carried out, providing critical information for infrastructure assessment and disaster impact analysis. This high-resolution dataset contributes to ongoing research on permafrost thaw-related subsidence, cold-region infrastructure resilience, and geospatial analysis in Arctic environments. Additionally, it serves as a valuable reference for object classification and remote sensing applications in permafrost-affected landscapes. The dataset supports interdisciplinary studies in cold-region geoscience, environmental monitoring, and predictive modeling of climate-induced landscape changes.