The exclusive webinar will explain how to employ senseFly drone data in Esri’s Drone2Map for ArcGIS. senseFly, provider of professional drone solutions, is hosting a free educational webinar on how to employ senseFly drone data in Esri’s Drone2Map for ArcGIS software at 10:00 EST / 16:00 GMT+1 on Wednesday, November 29.
Francois Gervaix, surveying product manager at senseFly, will be joined by Mark Romero from GIS software provider, Esri, and Joseph Adduci from the Argonne National Laboratory, for the one-hour webinar. Together, they will share their experiences of integrating drones with GIS software and discuss how users can utilise Esri’s Drone2Map for ArcGIS software to maximise the value of imagery obtained with drone technology.
“This online webinar will demonstrate how Esri’s mapping and spatial analysis software can be used to streamline processes, and how seamlessly it can be integrated into existing workflows to improve the speed and efficiency at which insights from drone-captured imagery can be gathered,” Jean-Christophe Zufferey, CEO of senseFly, explains.
Mark Romero, solutions engineer at Esri, will draw on his expertise in satellite, aerial, drone, light detection and ranging (LiDAR) and full motion video, as well as his experience as a software specialist, to share ideas on how to extract valuable information from drone imagery data. With more than 20 years of experience, most recently as a lecturer in GIS and remote sensing, Joseph Adduci, manager of the National Security GIS group at Argonne National Laboratory, will provide tips on delivering GIS projects that offer actionable insights.
In addition, senseFly’s Francois Gervaix will also discuss how professionals can integrate senseFly drone data into GIS software to optimise results.
Webinar attendees will learn:
• How to process senseFly drone images within Drone2Map for ArcGIS
• How to integrate senseFly drone data in ArcGIS workflows
• How to deliver on-demand, high resolution imagery and robust GIS projects
• How to extract reliable and detailed information for change detection
• How to efficiently acquire and process drone imagery covering areas over 0.5m2 (1.3km2)