UAS Special Interest Group, part 1
Got a Drone - Now What? Mapping with your UAV
Presenter: David McKittrick
UAV hardware is rapidly improving even as costs continue to drop. For those of us in the geospatial industry, this technology is quickly becoming a valuable and accessible addition to our geospatial toolbox. In this presentation, we will explore several GIS-based workflows that take advantage of UAV-collected data for visualization and analysis. We will process overlapping drone-collected images to generate a three-dimensional reconstruction of a target area using the principles of photogrammetric analysis. The resulting 3D point cloud is the raw material upon which countless geospatial procedures are based and as an illustration of the inherent potential of this data format, we will follow a series of workflows that utilize this data. After classifying and filtering the points to represent the ground, we will create DTM from which we will generate vector contour lines.
Takeaway: Attendees of this presentation will see several workflows that can be applied to UAV collected data.
Who should attend: This presentation will appeal to anyone who is currently using or thinking about using a drone or UAV as a data collection tool.
Examining the Use of UAV Imagery for Population and Canopy Height Estimates
Presenter: Nick Bisley
The modern advances in technology and the application to environmental sectors has led to the development of precision agriculture systems. Emerging tools that are based on these technological advancements are Unmanned Aerial Vehicles (UAVs). We show the functionality of using UAV-based imagery to complete typical scouting tasks, associated with a cotton variety trial. Remotely sensed image processing techniques and analysis resulted in the successful creation of population estimates and canopy height models. Results were compared to harvested yield and population estimates gathered using traditional on-the-ground methods. The results of this study show that a UAV is a valuable tool for gathering large scale scouting data in a commercial agricultural setting. Furthermore, areas of improvement were identified during the process, which can be utilized to enhance the quality of future analysis efforts.
Takeaway: The results of this study show that a UAV is a valuable tool for gathering large scale scouting data. Furthermore, areas of improvement were identified during the process, which can be utilized to enhance the quality of future analysis efforts.
Who should attend: Field data collectors, planners and data analysts, and anyone interested in using UAV technology as a part of their GIS operations.
Capture, Correct, and Check. How to Predict and Fix Bad Drone Data.
Presenter: Jack Taylor
Year three of drones at WestLand and there are still lessons to be learned. This year, we will quickly go over continued challenges to our drone program (more hawks & crash landings) and some proposed solutions. This year, however, we want to focus on post processing workflows, some common UAS data shortfalls, and potential solutions we tried. One solution we are excited to share is the merging of mobile LiDAR data with traditional drone data and the unique potential these complementary datasets provide. We will look at the entire workflow from raw photos to final deliverables. We will discuss our experience with PPK and GCP processing, predicting and identifying areas of bad data, and different methods to turn DSMs into actionable DTMs.
Takeaway: Methods to ensure high quality UAS data. Methods to clean and correct data drone. Methods to merge drone data with ground based mobile Lidar data.
Who should attend: UAS Pilots, Drone Data Analysts, Surveyors