1-10 of 20 results

  • Fusing Satellite and Drone Data with GIS to Create New Analytical Decision Support Tools for Varying Farm Types

    PI Kevin Adkins

    PI Nickolas Macchiarella

    CO-I Ronny Schroeder

    CO-I University of Michigan School for Environment and Sustainability (SEAS) and the Department of Ecology and Evolutionary Biology

    The synergy between moderate resolution satellite imagery and fine resolution drone imagery, LiDAR data, and meteorological data, along with generally available GIS data, must be identified and optimized. These data will be integrated to produce a variety of products that help identify what tools, inputs, and management strategies most effectively contribute to an increase in the productivity and resilience of an important agricultural system to a major weather or climate related disturbance.
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    Tags: nmanned aircraft systems uas drones agriculture farm management climate resiliency

    Categories: Faculty-Staff

  • GUMP: General Urban Area Microclimate Predictions Tool

    PI Kevin Adkins

    CO-I Nickolas Macchiarella

    CO-I National Aeronautics and Space Administration NASA

    Hyperlocal weather predictions are often necessary in order to determine whether a particular sUAS route will be safe to fly. The General Urban area Microclimate Predictions tool (GUMP) seeks to provide such predictions through the use of machine learning (ML) models and computational fluid dynamics (CFD) simulations. The computed wind flow field is converted into an intuitive risk map for sUAS operators through the use of appropriate thresholds on wind velocities.
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    Tags: Unmanned aircraft systems uas drones urban air mobility advanced air mobility urban operations micrometeorology urban boundary layer

    Categories: Faculty-Staff

  • Evaluating Preflight Weather Briefing Strategies

    PI Elizabeth Blickensderfer

    CO-I Thomas Guinn

    CO-I Robert Thomas

    The objective of this grant is to examine General Aviation (GA) pilots’ capability to conduct Preflight Weather self-briefings as compared to using Flight Services to obtain weather briefings. Previous research indicates that GA pilots are increasingly conducting weather self-briefings during preflight (Duke et al., 2019). Additional research indicates that GA pilots have moderately low performance when interpreting aviation weather observation and forecast products (Blickensderfer et al., 2019). Research is needed to assess and understand the attitudes, knowledge, and performance of GA pilots conducting self-briefings to identify possible gaps and, in turn, provide recommendations for future system design and pilot training.
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    Tags: FAA Cooperative Agreement Award 692M152040004

    Categories: Faculty-Staff

  • Using Virtual Reality to Identify Cybersecurity Threats for Navy Midshipmen

    PI Andrew Dattel

    CO-I Omar Ochoa

    CO-I Daniel Friedenzohn

    CO-I Trevor Goodwin

    CO-I Harry Brodeen

    This research is investigating the training of U.S. Navy Midshipman enrolled in the Reserve Officer Training Corps (ROTC) at Embry-Riddle Aeronautical University (ERAU) to identify cyber and security threats in a simulated bridge of a Navy vessel. Midshipmen will receive classroom instruction, as well as training in a virtual reality bridge simulator. The knowledge and skills training the midshipmen received is intended to transfer to the applications of midshipmen’s future positions and careers.


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    Tags: XR Lab VR ROTC Cyber Security Simulation

    Categories: Faculty-Staff

  • UAS Parameters, Exceedances, Recording Rates for ASIAS

    PI David Esser

    The project was to support aggregation of UAS flight data with commercial, general aviation and surveillance data, to develop enhanced safety analyses for NAS stakeholders, support UAS integration in the NAS, and support the Unmanned Aircraft Safety Team (UAST).


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    Tags: UAS ASIAS (Aviation Safety Information Analysis and Sharing) FAA Flight Data Monitoring Unmanned Aircraft Safety Team (UAST)

    Categories: Faculty-Staff

  • UAS Flight Data Research in Support of ASIAS (Aviation Safety Information and Analysis Sharing)

    PI David Esser

    This research will aggregate high quality UAS flight data with commercial and general aviation flight data and surveillance data, in order to develop enhanced safety analyses for NAS stakeholders and to support UAS integration in the NAS.


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    Tags: ASIAS UAS

    Categories: Faculty-Staff

  • Implementing Active Learning Techniques in an Undergraduate Aviation Meteorology Course

    PI Daniel Halperin

    PI Joseph Keebler

    CO-I Robert Eicher

    CO-I Thomas Guinn

    CO-I Kim Chambers

    ​Student feedback from end-of-course evaluations repeatedly indicated a desire to change the format of the course by de-emphasizing the PowerPoint-based lectures. The goal of the present study was to determine whether including a set of new active-learning techniques in an Aviation Weather course would result in better student understanding (as measured by exam scores) and make the course more engaging (as measured by end-of-course evaluations). During 2018-19, three instructors implemented five different active-learning techniques into their classes (i.e., the experimental group), while two instructors continued to use the unrevised course materials (i.e., the control group). The new active-learning techniques, described below, included daily quizzes, polling questions, flipped classroom sessions, in-class activities, and assertion-evidence-based lectures. All sections used the same assignments and exams, allowing for direct assessment of the effectiveness of the active-learning techniques. Analyses of Variance (ANOVA) tables were used to determine the statistical significance of the differences in exam scores. Indirect assessments in the form of end-of-course evaluations were also examined. 
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    Tags: Center for Teaching and Learning Excellence (CTLE)

    Categories: Faculty-Staff

  • Adding Tropical Cyclone Verification Capabilities to the Model Evaluation Tools – Tropical Cyclone (MET-TC) Software

    PI Daniel Halperin

    Producing reliable tropical cyclone (TC) genesis forecasts is an operational priority. The National Hurricane Center uses several TC genesis guidance products for their Tropical Weather Outlook. Furthermore, global model output is used in many TC genesis guidance products and is considered an important source of deterministic TC genesis forecast guidance. This project creates a standard framework for verifying deterministic and probabilistic TC genesis forecasts using the TC-Gen tool in the Model Evaluation Tools software package.


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    Tags: NCAR MET tropical cyclone National Huricane Center Weather Forecasting Model Evaluation Tools (MET) Software

    Categories: Faculty-Staff

  • PLD Space Suborbital Microgravity Research

    PI Pedro LLanos

    This project involves the design, development, integration, testing, validation, and verification of various payloads to be flown aboard PLD Space’s MIURA-1 suborbital rocket. 

    1. Magnetic Active Propellant Management Device (MAPMD) experiment (student involvement) 
    2. In-vitro experiment comprised of both T-cells and Cancer cells 
    3. Cerebrospinal fluid (CSF) shunt experiment (student involvement) 
    4. Environment characterization of the suborbital vehicle experiment (student involvement)

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    Tags: Space Suborbital flight experiments

    Categories: Faculty-Staff

  • Blue Origin’s Suborbital Research: MESSI/McXIMUS

    PI Pedro LLanos

    CO-I Sathya Gangadharan

    The following studies were conducted with Co-PIs Dr. Sathya Gangadharan (ERAU) and Kristina Andrijauskaite (University of Texas Health Science Center in San Antonio [UTHSCSA]).

    MESSI Summary: This project was ERAU's second suborbital payload aboard Blue Origin’s New Shepard launched May 2, 2019. We analyzed the effects of suborbital flight stressors and various light conditions (red, white, no light) on the Arthrospira platensis, commonly known as Spirulina, aboard Blue Origin’s New Shepard launch vehicle. Commercially available cyanobacterium species were cultivated and closely monitored in mother colonies several months before the flight. The aim was to estimate biomass production and growth as a potential dietary alternative for prospective human spaceflight's life support system.

    McXIMUS Summary: Zebrafish larvae were exposed to the same physiological stressors they would encounter during suborbital space flight: alterations in light, thermal, and centrifugation conditions, and their behavioral responses were analyzed using the DanioVision (Noldus) behavioral tracking system. Our results showed that zebrafish were most active when kept in a dark environment as measured by swim distance. Also, thermal alterations revealed that zebrafish larvae adapted well to the different temperatures ranging from 25°C to 32°C with the highest levels of locomotor activity observed at 32°C. Finally, the centrifugation tests demonstrated that although zebrafish were exhausted initially, their recovery process was short, lasting for approximately five minutes.


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    Tags: Zebrafish NanoLab Blue Origin’s New Shepard microgravity

    Categories: Faculty-Staff

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