19 Sep 2024

Automated Built-Up Infrastructure Land Cover Extraction Using Index Ensembles with Machine Learning, Automated Training Data, and Red Band Texture Layers

Abstract: Automated built-up infrastructure classification is a global need for planning. However, in-dividual indices have weaknesses, including spectral confusion with bare ground, and computational requirements for deep learning are intensive. We present a computationally lightweight method to classify built-up infrastructure. We use an ensemble of spectral indices and a novel red-band texture layer with global thresholds determined from 12 diverse sites (two seasonally varied images per site). Multiple spectral indexes were evaluated using Sentinel-2 imagery. Our texture metric uses the red band to separate built-up infrastructure from spectrally similar bare ground. Our evaluation produced global thresholds by evaluating ground truth points against a range of site-specific optimal index thresholds across the 24 images. These were used to classify an ensemble, and then spectral indexes, texture, and stratified random sampling guided training data selection. The training data fit a random forest classifier to create final binary maps. Validation found an average overall accuracy of 79.95% (±4%) and an F1 score of 0.5304 (±0.07). The inclusion of the texture metric improved overall accuracy by 14–21%. A comparison to site-specific thresholds and a deep learning-derived layer is provided. This automated built-up infrastructure mapping framework requires only public imagery to support time-sensitive land management workflows.

18 Sep 2024

The Military and Planning for Lithium-Ion Battery Recycling

Purpose: Understanding the military challenges related to lithium-ion battery disposal and learning about current and future trends in recycling efforts can inform safer and less environmentally destructive end-of-life solutions. Established lead-acid battery recycling methods were compared to the still-evolving lithium-ion battery recycling processes. Executive Order (EO) 13817, EO 13953, and EO 14017 have prioritized the identification of critical minerals, including minerals necessary for lithium-ion battery production, and the need to strengthen supply chains as vital to national security. To support this national security effort, the military may be able to contribute to the domestic supply through employing efficient recycling practices and encouraging industry to move towards standardization. Evolving recycling practices, including efforts to eliminate hazards in spent lithium-ion batteries, may be able to help the military dispose of these items more safely and cost-effectively, especially in contingency locations.

18 Sep 2024

Automated Mapping of Land Cover Type within International Heterogenous Landscapes Using Sentinel-2 Imagery with Ancillary Geospatial Data

Abstract: A near-global framework for automated training data generation and land cover classification using shallow machine learning with low-density time series imagery does not exist. This study presents a methodology to map nine-class, six-class, and five-class land cover using two dates of a Sentinel-2 granule across seven international sites. The approach uses a series of spectral, textural, and distance decision functions combined with modified ancillary layers to create binary masks from which to generate a balanced set of training data applied to a random forest classifier. For the land cover masks, stepwise threshold adjustments were applied to reflectance, spectral index values, and Euclidean distance layers, with 62 combinations evaluated. Global and regional adaptive thresholds were computed. An annual 95th and 5th percentile NDVI composite was used to provide temporal corrections to the decision functions, and these corrections were compared against the original model. The accuracy assessment found that the regional adaptive thresholds for both the two-date land cover and the temporally corrected land cover could accurately map land cover type within nine-class, six-class, and five-class schemes. Lastly, the five-class and six-class models were compared with a manually labeled deep learning model (Esri), where they performed with similar accuracies. The results highlight performance in line with an intensive deep learning approach, and reasonably accurate models created without a full annual time series of imagery.

18 Sep 2024

Opportunities for Upper Mississippi River System Sand to Support Coastal Beach Nourishment

Abstract: This research presents an opportunity to review the concept, status, and cost of using Upper Mississippi River (UMR) riverine dredged sand to nourish coastal beaches for increased resilience. Several dredged placement sites, transport modes, commercial and industrial uses, and end-point destinations will be identified in regional assessments and several specific UMR sediment to Great Lakes beneficial use projects will be reviewed here and assessed in greater detail during this research investigation.

18 Sep 2024

Using iThenticate for ERDC Publications: Avoiding and Addressing Unintentional Plagiarism

Abstract: The US Army Engineer Research and Development Center (ERDC) conducts world-class research that supports national endeavors and the Army mission. To demonstrate the reliability of ERDC’s research and to preserve ERDC’s reputation, it is critical that ERDC publications meet quality standards. This includes reviewing publications for potential copyright infringement, which adds another level of assurance to the quality and integrity of ERDC’s published works. Therefore, this report aims to explain the benefits and purpose behind implementing iThenticate, a powerful antiplagiarism tool, into the ERDC In-formation Technology Laboratory–Information Science and Knowledge Management (ISKM) Branch’s publication process and to present thorough guidance on using iThenticate effectively. To accomplish this, this document outlines the basics of copyright law, how to use iThenticate, and how to provide proper attributions for both text and images. With this information, ISKM editors will be able to better communicate to authors the results of iThenticate reviews and to propose solutions for any issues that iThenticate may highlight.

17 Sep 2024

Human Well-Being and Natural Infrastructure: Assessing Opportunities for Equitable Project Planning and Implementation

Abstract: There is consensus within psychological, physiological, medical, and social science disciplines that active and passive exposure to nature enhances human well-being. Natural infrastructure (NI) includes elements of nature that can deliver these ancillary well-being benefits while serving their infrastructure-related purposes and, as such, offer great promise for agencies including the U.S. Army Corps of Engineers as a means of enhancing economic, environmental, and societal benefits in civil works projects. Yet, to date, NI are typically framed as alternatives to conventional infrastructure but are rarely competitive for project selection because there is no standardized approach to demonstrate their value or justify their cost. The infrastructure projects subsequently selected may not maximize societal well-being or distribute benefits equitably. A framework is needed to capture diverse and holistic benefits of NI. As part of ongoing research, this paper describes the components necessary to construct a framework for well-being benefits accounting and equitable distribution of NI projects and explores how they might be applied within a framework. We conclude with methodological examples of well-being accounting tools for NI that are based on ongoing research and development associated with this project. The findings provide insights and support for both the Engineering with Nature community and the community of NI practitioners at large.

16 Sep 2024

Toward Systemic Beneficial use of Dredged Sediments in San Pablo Bay: Demonstration of a Proposed Framework for Matching Sediment Needs with Dredging Requirements

Abstract: Coastal wetlands provide a suite of valuable ecosystem services, but they are rapidly disappearing due to reductions in sediment supply and rising sea levels, making them ideal candidates for restoration through beneficial use of dredged sediment. Because sediment dredged from navigation channels is a limited resource relative to the number of degraded wetlands, a framework has been developed to align coastal restoration sediment needs with dredging requirements to maximize social, environmental, and flood risk reduction benefits while also completing the navigation mission. The framework is comprised of four key steps: (1) geographic scoping and suitability considerations, (2) quantification of the dredged sediment available and restoration project sediment needs, (3) definition of cost and benefit objectives, and (4) optimization of costs and benefits to determine the most efficient solutions. This report is a demonstration of this framework on a subset of wetland sites and local federal navigation channels in San Pablo Bay, California.

13 Sep 2024

The Built Environment of the US Air Force All-Volunteer Force: Preliminary Analysis of Building Trends: Preliminary Analysis of Building Trends

Purpose: July 1, 2023, marks the 50th anniversary of the beginning of the all-volunteer force (AVF). At this time, buildings, structures, and other elements of the US Air Force’s (USAF) built environment associated specifically with the AVF will be potentially eligible as historic resources under the National Historic Preservation Act (NHPA). The relationship between the AVF and the USAF built environment, however, has not yet been examined, and no historic contexts exist that provide guidance on how to identify and evaluate properties that may be associated with the built environment of the USAF AVF and offer recommendations on management of these properties to assist USAF installations in complying with the NHPA. As a result, it is unclear if, and to what extent, buildings, structures, and other elements associated specifically with the AVF exist that may require management under NHPA. The USAF desires to better understand the relationship between the AVF and the USAF built environment and has requested the Engineer Research and Development Center, Construction Engineering Research Laboratory (ERDC-CERL) conduct a built-environment analysis of existing USAF real property. This research is intended to support USAF decision-makers in determining if further research is warranted and how best to plan for managing AVF-related buildings, structures, and other built environment elements under NHPA. Results of this analysis indicate a relationship exists between the AVF and the USAF built environment; 42 built-environment feature types with construction rates higher than the overall average during the AVF period are identified.

13 Sep 2024

Optimization Strategies for Geospatial Data on End-User Devices

Abstract: The ability to quickly disseminate geospatial data across all echelons, particularly those at the tactical edge, is critical to meeting threats described by the Multi-Domain Operations doctrine. The US Army Engineer Research and Development Center, Geospatial Research Laboratory (ERDC-GRL), is researching the optimization of the formats, data models, file sizes, and quality of geospatial products to be exploited by end-user devices (EUDs). This report describes a processing methodology comprising custom software and open-source tools to optimize Army Geospatial Enterprise Standard Sharable Geospatial Foundation and industry-accepted products for exploitation on EUDs. The Integrated Visual Augmentation System (IVAS) was emphasized, but other devices, including the Nett Warrior and Program Executive Office—Soldier targeting systems, were also studied. Additionally, we developed a compression methodology that reduced the size of three-dimensional model data by a factor of 9 without a loss in data quality. A summary of the results describes steps to address remaining technical issues and considers future efforts to further optimize geospatial data for additional EUDs and tactical applications.

12 Sep 2024

Establishing a Selection of Dust Event Case Studies for Regions in the Global South

Abstract: Airborne dust is an essential component of climatological and biogeochemical processes. Blowing dust can adversely affect agriculture, transportation, air quality, sensor performance, and human health. Therefore, the accurate characterization and forecasting of dust events is a priority for air quality researchers and operational weather centers. While dust detection and prediction capabilities have evolved over the preceding decades, the weather modeling community must continue to improve the location and timing of individual dust event fore-casts, especially for extreme dust outbreaks. Accordingly, Researchers at the US Army Engineer Research and Development Center (ERDC) are establishing a series of reference case study events to enhance dust transport model development and evaluation. These case studies support ongoing research to increase the accuracy of simulated dust emissions, dust aerosol transport, and dust-induced hazardous air quality conditions. This report documents five new contributions to the reference inventory, including detailed assessments of dust storms from three regions with differing meteorological forcing regimes. Here, we examine two extreme dust episodes that affected India, a multiday berg wind event in southern Africa, a strong but short-lived dust plume from the Atacama Desert of Chile, and a narrow, isolated dust plume emanating from a dry lake bed in Patagonia.