Georeferencing in ArcGIS



This week's lab assignment concentrated on georeferencing an unfamiliar raster image of the UWF campus to establish vector data, including buildings and roads indicated in yellow and orange. Additionally, we utilized Residual and Root Mean Square (RMS) errors to gauge the precision of the adjusted raster data. The RMSE indicates accuracy in spatial analysis and remote sensing, where a lower value suggests higher accuracy. However, it's crucial to note that accuracy relies on the quality of the Control Points data rather than solely on the image itself, emphasizing the importance of ensuring user visual accuracy. The RMSE measures discrepancies between predicted (or calculated values) and observed values, with each difference termed residual. In addition, the lab had us digitizing and editing new buildings, like the UWF gym, and roads, like Campus Lane, to the features.

The map above shows the transformed raster aerial images of UWF campus in relation to the known UWF building and road vector data. The RMSE is less than 6.0 for both raster images, meaning it is accurate to the calculated values, and it looks accurate to both the vector and base image data. Beside the georeferencing data, we had to calculate a multiring buffer for the eagle nest located near the campus. An initial UWF campus expansion proposal aimed to develop 120 acres of the Baars Firestone Wildlife Sanctuary; however, due to public outcry due to the plan's threatening the bald eagle's nest identified, the plans now include a barrier to prevent any harm. There is a 330 foot conservation easement as well as a FWC mandated 660 foot protected area around nests prohibiting developments like trails, power lines, and roads.

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