Overview
ArcGIS Earth, and software like Pix4D, are essential to utilize in conjunction with drones. Incorporating these into the normal workflow can help create a better mission flow and more well-rounded deliverable at the end of the day. During this lab, learning the applications of these tools, really helped me understand a little bit more of what is actually out there as a resource. I’m excited to continue to become more involved and versed in software packages like these to make me more well-rounded!
Data Collected
ArcGIS
Overview
The basis of utilizing this software was to get an understanding of GCP placement within a given area, and how it correlates to the entire data set. Once we created the boundary and GCP’s in ArcGIS, we exported it as a file to the mobile app and walked it in person. Find the points based on GPS was very interesting because it would shift depending on when you took the point. This was a great lesson to learn for future flight or processing techniques in the future.
Fig. #1: Project Creation
Fig. #2: Boundary & GCP Layers
Fig. #4: Example Real World GCP
Fig. #5: Example Real World GCP
Fig. #6: Real World GCP & Boundary Placement
Pix4D
Overview
This software is currently the most popular when it comes to constructing general point clouds from data sets. The generated information that is gathered after the initial processing number of calibrated images, number of tie points, and reprojection error. This is important because it provides the basis for all subsequent processing, so that if the initial processing fails or is incomplete, things like the point cloud, DSM, orthomosaic will fail. Below you will find a light pole and car that was scanned and the process the software takes to finalize a particular model.
Process
Analyzing the Quality Report DSM, Orthomosaic and Index Light Pole
Fig. #7: Initial Processing
Fig. #8: Point Cloud and Mesh
Fig. #9: Finalized Point Cloud Model
Fig. #10: Finalized 3D Model
Fig. #11: Finalized 3D Model
Car
Fig. #12: Initial Processing
Fig. #13: Initial Processing
Fig. #14: Point Cloud and Mesh
Fig. #15: Point Cloud and Mesh
Fig. #16: Finalized 3D Model