Home / Media / News / NewsSearch
Results:
Tag: Geographic Information Systems
Clear

  • Electronic Railroad Inspection Database System for Military Facilities

    Abstract: The U.S. Army Engineer Research and Development Center (ERDC) executes inspection programs as part of the U.S. Army Transportation Infrastructure Inspection Program (ATIIP). These inspections, monitoring, and assessment programs include airfields, bridges, dams, railroads, waterfront facilities, and ranges. To date, the process for these inspection programs has been manually intensive, time consuming, and difficult to scale. The ERDC is bringing digital business and spatial data collection methods to its inspection program for the military’s railroad infrastructure. By combining GPS and GIS technologies into a mobile data collection solution, added efficiency and data quality have been brought to the field inspection workflow. This modernization effort also results in streamlined data processing and reporting. These improved processes will lead to higher quality data, better analysis of the new richer data content, and better decisions made by the end-users and stakeholders.

  • PUBLICATION NOTIFICATION: Local Spatial Dispersion for Multiscale Modeling of Geospatial Data: Exploring Dispersion Measures to Determine Optimal Raster Data Sample Sizes

    ABSTRACT: Scale, or spatial resolution, plays a key role in interpreting the spatial structure of remote sensing imagery or other geospatially dependent data. These data are provided at various spatial scales. Determination of an optimal sample or pixel size can benefit geospatial models and environmental algorithms for information extraction that require multiple datasets at different resolutions. To address this, an analysis was conducted of multiple scale factors of spatial resolution to determine an optimal sample size for a geospatial dataset. Under the NET-CMO project at ERDC-GRL, a new approach was developed and implemented for determining optimal pixel sizes for images with disparate and heterogeneous spatial structure. The application of local spatial dispersion was investigated as a three-dimensional function to be optimized in a resampled image space. Images were resampled to progressively coarser spatial resolutions and stacked to create an image space within which pixel-level maxima of dispersion was mapped. A weighted mean of dispersion and sample sizes associated with the set of local maxima was calculated to determine a single optimal sample size for an image or dataset. This size best represents the spatial structure present in the data and is optimal for further geospatial modeling.

  • PUBLICATION NOTICE: New and Enhanced Tools for Civil Military Operations (NET-CMO)

    Abstract: Civil Military Operations (CMO) associated geospatial modeling is intended to enable increased knowledge of regional stability, assist in Foreign Humanitarian Assistance (FHA), and provide support to Force Health Protection (FHP) operational planning tasks. However, current geoenabled methodologies and technologies are lacking in their overall capacity to support complex mission analysis efforts focused on understanding these important stability factors and mitigating threats to Army soldiers and civilian populations. CMO analysts, planners, and decision-makers do not have a robust capability to both spatially and quantitatively identify Regions of Interest (ROI), which may experience a proliferation in health risks such as vector-borne diseases in areas of future conflict. Additionally, due to this general absence of geoenabled health assessment models and derived end-products, CMO stakeholders are adversely impacted in their Military Decision Making Process (MDMP) capabilities to develop comprehensive area studies and plans such as Course of Action (COA). The NET-CMO project is focused on fostering emerging geoenabling capabilities and technologies to improve military situational awareness for assessment and planning of potential health threat-risk vulnerabilities.

  • PUBLICATION NOTICE: Creation, Transformation, and Orientation Adjustment of a Building Façade Model for Feature Segmentation: Transforming 3D Building Point Cloud Models into 2D Georeferenced Feature Overlays

     The US Army Engineer Research and Development Center has published the report/note described and

  • Norfolk District and young scientists intersect during geotagging event

    Students and teachers from Norfolk Christian Lower School geoprocessed data with employees from Norfolk District, U.S. Army Corps of Engineers to recognize GIS Day.

  • Business Opportunities Open House provides access to the Corps

    NASHVILLE, Tenn. (March 15, 2017) – Business leaders met with Corps of Engineers officials at Tennessee State University today for the Business Opportunities Open House, commonly referred to as the “BOOH” event.

  • Nashville District names Brunt Employee of the Month for August 2017

    NASHVILLE, Tenn. (Sept. 29, 2017) – Matt Brunt, cartographic technician in the Real Estate Division, is the U.S. Army Corps of Engineers Nashville District’s employee of the month for August 2017.

  • Small businesses get treated at Nashville District’s ‘BOOH’ event

    NASHVILLE, Tenn. (March 16, 2017) – Small businesses were treated to a unique event today that the U.S. Army Corps of Engineers Nashville District dubbed “BOOH,” which is not a scary reference to Halloween but is a cute acronym for its first annual Business Opportunities Open House.

  • Geographic Information Systems – much more than maps

    Baltimore District’s GIS Data Store organizes and stores many major base map layers such as roads, potential flooding, topography and aerial imagery. Baltimore District GIS experts are integrated within the district’s major divisions.