Intensive Study: Drones in Geospatial Decision Making

Join us for the AS.430.620 Drones in Geospatial Decision Making Course!

September 4 – October 24, 2019

AS.430.620 Drones in Geospatial Decision Making

This compressed format hands-on course will explore current and future techniques of close-range remote sensing utilizing Unmanned Aerial Vehicles (UAVs or drones) for environmental monitoring, urban cyber-sensing, and infrastructure assessment related to emergency response, leading to FAA Remote Pilot Certification to operate UAVs for commercial, professional, and research purposes.

The course will focus on four basic objectives: (1) demonstrating knowledge and operational skills to successfully execute data acquisition using a variety of UAV remote sensing collection devices; (2) applying different methods of data acquisition and processing to identify, cross-validate and interpret data collected from UAV sensors; (3) discussing existing and emerging trends of UAV applications in various academic and professional situations, and (4) synthesizing and extrapolating data from these novel collection techniques to solve real-world problems.

Students will act as flight crewmembers and scientific crew on numerous daily missions during the field portion of the course.

AS.430.620 Drones in Geospatial Decision Making

Course Meeting & Online Anytime Components

  • Online Anytime and Self-Study: 4 Sep. – 9 Oct. Allow 3 hours on Blackboard per week
  • Online Interactive: 4 Sep. – 9 Oct. Wednesday’s at 1900 Eastern Time (6 sessions) weekly for 1 Hour via Zoom. Recording will be provided for those who cannot make it.
  • Field Work: 21 – 24 Oct. (4 days). 9 AM – 5 PM daily at the Homewood Campus or selected field locations (transportation provided from Homewood).

Online Anytime and Self-Study: Sep. 4 – Oct. 9, 2019. Allow 3 hours on Blackboard per week

Online anytime is the portion of the course that has assignments related to Knowledge, Skills, and Abilities (KSAs) that will ensure productive and safe use of the field equipment, and will provide the background needed to master the data to information GIS workflow. From 9/4 – 10/16, students should plan to spend at least 3 hours a week to complete the 7 assignments that involve reading and studying the materials related to the course Terminal Learning Objectives (TLOs). The assignments are related to FAA RPS; Sensor Science; Data to Information GIS knowledge development to ensure a productive field week at the end of the course. Materials and README files for each assignment are posted weekly and available via the course Blackboard folder.

Field Work:  Oct. 21 – 24 (4 days). 9 AM – 5 PM Daily at the Homewood Campus or Selected Field Locations

Field Work is a hands-on field course that is 32 hours long, from Monday thru Thursday at the Homewood Campus in Baltimore, MD, USA. Students will demonstrate, operate, and publish GIS-related small Unmanned Aircraft Systems (sUAS) collected data from a series of research stations on the campus and local operating areas.  Students who complete the course will be competent and certified in sUAS Operations and Geo-referenced Information Systems (GIS) associated with sUAS use in environmental and urban science applications.

  • Day 1 – Flight School Basics and Solo Flight Operations Certification
  • Day 2 – Sensors, Data, and Autonomous Operations of sUAS Flight School
  • Day 3 – Research Station Labs: GIS Foundations Applied to sUAS Operations in Environmental and Urban Science Projects; After Action Reviews and Reporting
  • Day 4 – Research Station Labs: GIS Foundations Applied to sUAS Operations in Environmental and Urban Science Projects with a Capstone Course Project Focus; After Action Reviews and Reporting

Registration, Cost and Other Details

Registration is now open. Tuition is the same as other GIS/ESP courses, $4,009 per course. In addition, there is a $325 technology and fieldwork fee. Students secure their own lodging and travel costs to/from JHU Homewood Campus (Baltimore). Transportation from JHU Homewood campus to/from fieldwork sites is provided.

AS.430.620 Drones in Geospatial Decision Making

For additional information, please contact instructor Jim Blanchard at jblanch8@jhu.edu.