20 Apr 2020

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.

20 Apr 2020

PUBLICATION NOTICE: Design considerations for beneficial use sites along the Channel to Victoria, Calhoun County, Texas

Purpose: This U.S. Army Corps of Engineers (USACE) Regional Sediment Management (RSM) investigation considered implementation of new or historically underutilized beneficial use (BU) sites for the Channel to Victoria (CTV) in Calhoun County, Texas. The utilization of alternative  placement areas is justified on two main grounds: (1) there is cost savings associated with the shorter pump distance compared to the existing upland confined placement areas and (2) shoaling reduction relative to a without project condition. Additional benefits realized by utilizing the proposed sites include (1) increased safety for vessels navigating CTV due to the reduction/elimination of open fetch and currents, (2) additional placement options available in times of emergency dredging, and (3) increased bird habitat, particularly for the endangered whooping crane. These sites have received National Environmental Policy Act (NEPA) clearance in previous project documents, and it is anticipated minimal or no additional NEPA coordination will be required to construct/restore these sites.

20 Apr 2020

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.

14 Apr 2020

PUBLICATION NOTICE: Spatial Downscaling Disease Risk Using Random Forests Machine Learning

 Link: http://dx.doi.org/10.21079/11681/35618Report Number: ERDC/GRL TN-20-1Title: Spatial Downscaling Disease Risk Using Random Forests Machine LearningBy Sean P. GriffinApproved for Public Release; Distribution is Unlimited February 2020Purpose: Mosquito-borne illnesses are a significant public health concern, both to the Department of Defense

14 Apr 2020

PUBLICATION NOTICE: Update to: Use of Engineering With Nature® Concepts on the Savannah Harbor Navigation Project, Dredged Material Containment Areas, Savanna, GA

 NOTE: A new PDF for this report was uploaded on 2/20/2020 to correct an error that was in the previous version. The link to the report on Knowledge Core will still remain the same. If you have downloaded a version of the report prior to now please replace it with the new version now available.Link: http://dx.doi.org/10.21079/11681/35353  Report

14 Apr 2020

PUBLICATION NOTICE: Species Distribution Modeling of Ixodes scapularis and Associated Pathogens in States East of the Mississippi River

 Link: http://dx.doi.org/10.21079/11681/35615Report Number: ERDC/GRL TR-20-2Title: Species Distribution Modeling of Ixodes scapularis and Associated Pathogens in States East of the Mississippi RiverBy Kathleen V. Payne, Sean P. Griffin, Susan L. Lyon, Robin E. Lopez, and Nicole M. WayantApproved for Public Release; Distribution is Unlimited

14 Apr 2020

PUBLICATION NOTIFICATION: Coincidence Processing of Photon-Sensitive Mapping Lidar Data

 Link: http://dx.doi.org/10.21079/11681/35599 Report Number: ERDC/GRL TR-20-1Title: Coincidence Processing of Photon-Sensitive Mapping Lidar DataBy Christian Marchant, Ryan Kirkpatrick, and David OberApproved for Public Release; Distribution is Unlimited February 2020Abstract: Photon-sensitive mapping lidar systems are able to image at greater

14 Apr 2020

PUBLICATION NOTICE: Numerical Sedimentation Investigation Mississippi River Cairo to Pilots Station

 Link: http://dx.doi.org/10.21079/11681/35573 Report Number: MRG&P Report No. 30Title: Numerical Sedimentation Investigation Mississippi River Cairo to Pilots StationBy Ronald R. Copeland, Leslie Lombard, Roger A. GainesApproved for Public Release; Distribution is Unlimited February 2020Abstract:  A HEC-6T numerical model of the entire Lower

8 Apr 2020

DoD High Performance Computing Modernization Supports the Fight Against COVID-19

From modeling the movement of how droplets travel through an aircraft to conducting virtual screenings of vaccine possibilities, the Department of Defense High Performance Computing Modernization Program has a powerful weapon in the fight against COVID-19—supercomputers.

7 Apr 2020

PUBLICATION NOTICE: Effects of Bank Stabilization on Regional Sediment Management: Lessons Learned from the Kansas River and Grand River Basins

 Link: http://dx.doi.org/10.21079/11681/35313Report Number: ERDC/TN RSM-20-1Title: Effects of Bank Stabilization on Regional Sediment Management: Lessons Learned from the Kansas River and Grand River BasinsBy Aaron Williams and John ShelleyApproved for Public Release; Distribution is Unlimited January 2020Purpose:  Accumulation of sediment has and