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Week 13 Drone 2 Map
Introduction
In earlier labs, I used Pix4D to process UAS imagery into point clouds and basic mapping products. This lab expanded those skills by introducing Esri Drone2Map, a photogrammetry tool designed to produce GIS-ready outputs that integrate smoothly with the ArcGIS ecosystem. The main purpose of the lab was to take raw UAS images collected during Week 5 mapping missions and convert them into usable spatial products specifically an orthomosaic, DSM, and DTM—that can be reviewed, analyzed, and presented inside a GIS environment.
A second focus of the lab was understanding how mission planning affects data quality. By processing two Skydio 2+ datasets flown with different patterns (single-direction vs. crosshatch), I could directly compare how overlap and viewing geometry influence alignment, surface modeling, and overall output reliability. Finally, exporting the results into ArcGIS Pro reinforced key concepts in coordinate systems, projections, and cartographic design by turning processed rasters into professional map layouts.
Overview
I used Drone2Map to process drone photos from a previous mapping flight. I imported the images, chose a standard processing option, and ran the software to create common mapping products such as an orthomosaic and elevation models. After the processing finished, I checked the results and then opened the outputs in ArcGIS Pro to view them on a map and make a basic layout. I also compared two sets of flight data to see how different flight patterns can change the quality of the final products. Overall, this lab helped me understand the basic workflow of moving from raw drone photos to GIS-ready map layers.
Conclusion
Lab demonstrated how Drone2Map can take raw UAS imagery and produce standard photogrammetric products orthomosaic, DSM, and DTM that are ready for GIS use. The lab reinforced that each raster product tells a different “story” about the same area. The DSM represents the top surface (trees, structures, vehicles), while the DTM filters those objects to reveal bare-earth terrain, making subtle ground changes easier to interpret. Finally, exporting the outputs into ArcGIS Pro connected processing to real deliverables—professional map layouts that communicate results clearly. In practical UAS work, these skills matter because good mission planning improves data quality, and good cartographic presentation is what turns processed rasters into information others can trust and use.
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