Drones and UAVs: Solving Problems, Finding Resources

Drone Recharging and Data Delivery Stations: A New System (RDISt)

Brian Meier, XWorks

• Solving the problem of battery life
• Stations for data transfer
• Used in inspecting leases, operations, more

Leveraging Deep Learning Analytics for Drone Enabled Services in the Energy Sector

Ross Bohnstedt and Dr Yang Liu, DataNova Analytics

• High-resolution 3D imaging
• How to work with the data in innovative ways to get the interpretations you need
• Examples and case studies

Drone Safety 101: A Basic Course with Quiz

Michael Nash, University of Oklahoma

• Presentation of drone safety fundamentals
• Examples and practice questions
• Quiz (for participants)

Starting a Drone Services Business from a Geologist's Perspective — Bob Heim, Drone View Services

• Pragmatic Realities of Photogrammetry: Software, Flight Design
• Selecting and using software
• Planning the flight path
• Data management and analytics

Effective UAS Applications for Coastal Zones

Mike Montgomery, Bama Consulting Services

• UAS-based surveys on 3 coastal zones impacted by Hurricane Matthew in 2016
• Information for beach restoration planning
• Types of information: 3D geomorphological models, volumetric calculations of sand displacement
• Multispectral and infrared

Geiger-mode LiDAR: Efficient collection for digital terrain mapping and feature classification

George Kirov, Harris Corporation

• Multi-angle illumination that penetrates foliage, removes shadows, eliminates voids
• Workflow for creating end-to-end geospatial products
• Precision farming and site reclamation (oil and gas, coal, mining, etc.)
• Case studies / examples

Choosing the most appropriate sensor and unmanned vehicle

Alex Wehmann, Aeroscan Solutions

• Scope of project, defining goals
• Bringing together the ideal sensor, unmanned vehicle and tying to mission
• Planning drone / UAV missions, with flight controllers
• Integrating sensors and the vehicle / support hardware
• Doing a survey
• Examples from research and commercial applications

Enabling UAS Operations beyond visual line of sight: system-level solutions for remote sensing

Mark Romano, Harris Corporation

• Integrating regional and large scale aircraft surveillance solutions
• Airspace situational awareness tool
• NextGen surveillance data, obstacle data, flexible background maps, weather information
• Case study, examples

Drones for Tank Farm and Infrastructure Inspections: Case Study

David Lacy

• Real life inspections: planning, challenges, equipment, analytics
• New uses of FLIR and thermal sensors for surveillance, leak detection
• High-definition 3D models for infrastructure and facilities planning
• Case 1: Tank farm
• Case 2: Infrastructure

Emerging Technologies for Identifying and Monitoring Fugitive Methane and Carbon Sources

Maria Pirone, Harris Corporation

• GreenLite technologies
• Defining scope of mission
• Sensors, flight design, workflows, analysis
• Case study (step by step)
• Future: Identifying surface geochemical and methane corresponding to reservoirs?

Unmanned Aerial Systems: Next Generation Sensors and Applications

Jonathan Kohn, UM Inspections

• Data analytics / interpretation for data visualization, mapping
• Georeferenced data sets examples (how / when)
• ortho-imagery and topographic contours
• digital surface and terrain models and 3d models
• Volumetric estimates
• Risk Reporting
• LDAR (Leak Detection and Reporting)

Petroleum Geology and Airborne Images: What We Can Do

Dave Koger

• Sources of data /sensors and software
• Workflows with data and tools
• Successful applications (examples)

Emerging New Directions in Unmanned Vehicles

Daniel DeClute-Melancon, Weatherford

• Aerial vehicles: small, medium, large-scale
• Underwater unmanned vehicles

Utilizing Drone Imagery to Build Virtual Outcrops: Upper Cambrian Microbial Reefs, Mason, Texas

Pankaj Khanna, Rice University

• Drone-acquired images
• Review of the hardware and software used
• Workflow (in detail), with team roles detailed
• Results and their uses (3D models of microbial buildups)