29 Sep 2025

Introduction of the Pivox System—A Low-Cost, Rapidly Deployable Modular Lidar System

Abstract: Terrestrial light detection and ranging instruments can provide extremely valuable data for a multitude of applications in a wide variety of science and engineering fields. However, terrestrial lidar systems (TLS), are prohibitively expensive for many projects and require significant power and data resources to allow for the collection and transmittal of real-time lidar data, limiting their use in remote applications. To address the need for low-cost lidar data collection capabilities in remote environments, the US Army Corps of Engineers, Engineer Research Development Center, Cold Regions Research and Engineering Laboratory, and Geotechnical and Structures Laboratory (GSL) developed the Pivox System. The Pivox System integrates a Livox lidar sensor to a Raspberry Pi, allowing for real-time data collection, processing, and transmittal using a self-contained unit that also includes the power supply and communications equipment. We present data collected using the Pivox System in three diverse environments to measure changes in snow depth, the presence of lake ice, and erosion during a levee overtopping experiment.

25 Sep 2025

From Analog to Digital: A Systematic Workflow for Converting Published Landform Maps to Georeferenced Datasets

Abstract: Reference datasets for geomorphological analysis often require the integration of multiple data sources, including legacy maps and published figures that exist only as scanned images or hard copies. This report documents a systematic five-step workflow for converting landform information from these analog sources into georeferenced point datasets suitable for digital analysis. The methodology encompasses acquiring and evaluating imagery, georeferencing using ground control points, manually digitizing landform polygons, converting to centroid points using a systematic grid-based approach, and assigning attributes with quality control measures. In a case study on East Asia, we demonstrate the workflow’s practical application by processing 15 published sources to generate over 2 million labeled landform points representing approximately 1,015 km² of land across China and Mongolia. The dataset encompasses seven landform classes commonly found in arid environments: active washes, alluvial fans, bedrock, pediments, playas, sand dunes, and sand sheets. Quality assessments using analyst confidence ratings revealed reliable classification performance for most landform types. This workflow provides researchers with an efficient approach to leveraging existing published landform data, thus expanding the spatial coverage and temporal depth of reference datasets that are available for geomorphological analysis and machine learning applications.

25 Sep 2025

Expansion of a Landform Reference Dataset in the Chihuahuan Desert for Dust Source Characterization Applications

Abstract: This report details the development of an extensive landform reference dataset for the Chihuahuan Desert region to support validation of a machine-learning-based landform classification model. Building upon previous work by Cook et al. (2022), we expanded both the quantity and spatial coverage of reference points to better represent the study domain’s geomorphic diversity. Analysts integrated information from published literature, government databases, and satellite imagery interpretation to create a dataset of 236,582 points across 12 landform classes, aligned to a 500 m resolution grid. The bedrock/pediment/plateau class was the dominant class (58%), followed by alluvial fans (21%), aeolian sands (11%), and aeolian dunes (5%). Approximately 85% of the reference points received high analyst confidence ratings, and ratings were especially high for classes with distinctive signatures, such as bedrock features, fine-grained lake deposits, urban/developed areas, water, and agricultural lands. Classification challenges consistently emerged in transitional zones between land-forms, areas with anthropogenic modifications, and complex landform assemblages where mapping resolution proved insufficient. The resulting dataset is a valuable resource for model validation and offers insights into arid region geomorphology. Additionally, it has the potential to support multiple applications, including dust hazard forecasting, terrain mobility assessment, soil property inference, and rangeland management.

24 Sep 2025

Assessing Heat Pump Technologies in Cold Regions for Army Installations

Abstract: Air-source heat pumps (ASHPs) can efficiently provide building heating and cooling. To assess the performance of ASHPs in cold regions for the Army Installation Technology Transition Program, we installed an air-to-air minisplit ASHP in Fairbanks, Alaska. This Interior Alaska location is exposed to extreme cold. The appropriate size of the unit was determined using building size and air temperatures from the location. Using monitoring equipment, the heating performance of the unit was analyzed using measurements collected over the winter months. Finally, the coefficient of performance (COP) was calculated, and a thermal camera was used to assess the heating performance qualitatively. The ASHP effectively heated the building during the project, and ASHPs are therefore recommended for use in cold regions.

24 Sep 2025

Simulating Environmental Conditions for a Severe Dust Storm in Southwest Asia Using the Weather Research and Forecasting Model: A Model Configuration Sensitivity Study

Abstract: Dust aerosols create hazardous air quality conditions that affect human health, visibility, and military operations. Numerical weather prediction models are important tools for predicting atmospheric dust by simulating dust emission, transport, and chemical evolution. We assessed the Weather Research and Forecasting (WRF) model’s ability to simulate the atmospheric conditions that drove a major dust event in Southwest Asia during July–August 2018. We evaluated five WRF configurations against satellite observations and Reanalysis Version 5 (ERA5) reanalysis data, focusing on the event’s synoptic evolution, storm progression, vertical structure, and surface wind fields. Results revealed substantial differences between configurations using Noah and Noah Multiparameterization (Noah-MP) land surface models (LSMs), with Noah providing a superior representation of meteorological conditions despite theoretical expectations of similar performance in arid environments. The best-performing configuration (Noah LSM, Mellor–Yamada–Nakanishi–Niino planetary boundary layer scheme, and spectral nudging) of the five considered accurately simulated the progression of a low-level jet streak and the associated surface winds responsible for dust mobilization throughout the event. This study supports the US Army Engineer Research and Development Center’s efforts to improve dust forecasting and establishes a foundation for evaluating dust emission parameterizations by isolating meteorological forcing errors from dust model physics.

19 Sep 2025

Cooling Perspectives on the Risk of Pathogenic Viruses from Thawing Permafrost

Abstract: Climate change is inducing wide-scale permafrost thaw in the Arctic and subarctic, triggering concerns that long-dormant pathogens could reemerge from the thawing ground and initiate epidemics or pandemics. Viruses, as opposed to bacterial pathogens, garner particular interest because outbreaks cannot be controlled with antibiotics, though the effects can be mitigated by vaccines and newer antiviral drugs. To evaluate the potential hazards posed by viral pathogens emerging from thawing permafrost, we review information from a diverse range of disciplines. This includes efforts to recover infectious virus from human remains, studies on disease occurrence in polar animal populations, investigations into viral persistence and infectivity in permafrost, and assessments of human exposure to the enormous viral diversity present in the environment. Based on currently available knowledge, we conclude that the risk posed by viruses from thawing permafrost is no greater than viruses in other environ¬ments such as temperate soils and aquatic systems.

18 Sep 2025

Standard Operating Procedures for the Design, Construction, and Maintenance of Summer Roads and Trails, Drop Zones, and Firebreaks in Cold Regions

Abstact: As DoD investments across Alaska increase in response to DoD Arctic strategies, expanded training opportunities are necessary to enable the military to enhance their Arctic capabilities. In addition, wildfire management is increasingly important in the area as the summer season has expanded and warmed in recent decades. This report addresses the siting, design, construction, and maintenance of summer roads and trails, drop zones, and firebreaks on DoD lands in Alaska and other cold regions. It considers the harsh weather conditions, extreme seasonality, and remoteness of these environments, in addition to the general requirements of understanding the local environment, relevant risks, permitting, and regulations. The three types of linear infrastructure are assessed together as each involves the clearing of land and maintaining it as cleared, and therefore share common risks. This report summarizes best practices throughout the project lifecycle and synthesizes risk mitigation strategies informed by a comprehensive literature review and conversations with local training land managers. Using Fort Wainwright in Interior Alaska as an example, it provides Standard Operating Procedures (SOPs) to aid land managers and military unit leadership as they navigate challenges and opportunities in their increased use of these critical linear infrastructure types in high latitude environments.

16 Sep 2025

Standard Operating Procedures for the Design, Maintenance, and Operation of Arctic and Subarctic Winter Roads

Abstract: Operations in cold regions require vehicular maneuvering across snowpacks or frozen surfaces. Winter roads and their route determination, construction, and monitoring are widely studied. This report analyzes historical and current literature on winter road construction and operations, reviews risk assessment techniques, examines the impact of uncertain weather on road reliability, and provides a standard operating procedure for design, maintenance, and use. Winter roads, snow roads, ice roads, and ice bridges enable seasonal access in Arctic and Subarctic regions. They allow cross-country maneuverability over terrain like wetlands and bogs, which are impassable in summer. These roads are critical for training, logistics, and construction in areas without all-season access. When combined with ice bridges they can provide near-unlimited travel. Effectiveness depends on proper planning, construction, and monitoring. Snow roads require controlled compaction for strength, while ice roads require sufficient ice thickness to support loads. Both rely on tools like visual inspections, ground-penetrating radar, and unmanned aerial systems to ensure safety. With extreme seasonal variability, adaptive strategies are essential. Shortened seasons and unpredictable freeze–thaw cycles demand modern technologies, predictive weather modeling, and improved reinforcement. This report integrates historical knowledge with engineering advancements to improve winter road durability, reduce risks, and support cold-region operations.

15 Sep 2025

Standard Operating Procedures for the Design, Construction, and Maintenance of Linear Infrastructure in Fens in Cold Regions

Abstract: In Alaska and across the Arctic and Subarctic, winter conditions can enable the expansion of linear infrastructure across the frozen landscape of fen wetlands. This expands military training opportunities into lowland wet, boggy, mostly impassable terrain. However, there are personnel, civilian, and environmental risks from using fens as travel corridors and drop zones. The effective design, construction, operation, and maintenance of such infrastructure on fens supports the dual mandate of troop training to fulfill the mission and protect the environment. This Technical Report (TR) addresses the risks of the establishment and use of linear infrastructure on the DoD lands in Alaska and in other austere cold environments where the DoD operates. This TR is founded on a review of methods used by US Army Installations, focusing primarily on Fort Wainwright in Interior Alaska. It establishes basic standard operating procedures (SOPs) by drawing on federal agency and international best practices and emerging research in circumpolar regions and beyond. This TR serves as a reference document for military land and infrastructure planners and unit leadership to create and maintain linear infrastructure on fens as environmental challenges evolve and opportunities develop to further the Army mission in high latitude environments.

15 Sep 2025

Standard Operating Procedures for the Design, Maintenance, and Operation of Freshwater Ice Bridges

Abstract: Operations in cold regions inevitably require maneuvering across, through, or atop frozen surfaces. Ice bridges are special components of winter linear infrastructure that can have significant impacts on mission targets. Proper siting, design, monitoring, and operation of ice bridges reduces potential environmental impacts and decreases risks to personnel and equipment. The US Army operates multiple ice bridge crossings on training lands in Alaska and collaborates with other countries in training events that use them. They are a likely means of travel for potential operations in cold regions. However, the US Army lacks up to date guidance on the design, maintenance, and operation of ice bridges. This report addresses this need by providing a set of standard operating procedures that have been developed from a broad synthesis of ice bridge usage in northern regions. In addition, it reviews all relevant historic and current literature regarding ice bridges, describes risk assessment and mitigation techniques for ice bridge operations, discusses specific considerations for US Army training areas in Alaska, and briefly describes important ramifications of changing weather conditions and increasing uncertainty as they relate to ice bridge life span.