Module 6 - Georeferencing, editing and 3D Scene

This week lab consists of three parts. We learned georeferencing in part one, editing in part two and 3D scene in part three.

In part one, I georeferenced two raster image files using control points. First, I created a new project and added two layers that were provided, UWF campus buildings and road layers. Subsequently, I added the first jpg file uwf_n.jpg, zooming in to the buildings and roads layers and using Fit to Display feature to display the jpg file to fit the viewing area. After I identified common points from jpg file to buildings and roads layers, I proceeded to add control points. To do so, I first picked a point from the jpg file such as a corner of a building and then clicking on the point for the same building corner from the buildings layer. Adjusting layer transparency allowed me to view features on both layers. Repeating the same steps to add 10 control points and checking Root Mean Square (RMS) error. The RMSE is used as an indicator of the accuracy of the spatial analysis and/or remote sensing. Revising the control point table allowed me to be sure the RMS error as low as possible. I added the second jpg file uwf_s.jpg and following the same process to add control points. This time, I used 3rd Order Polynomial from the transformation drop down box. The second raster image was distorted; to correct this distortion, I used the higher order transformation which allows the raster image to bend and warp.

In part two, I used the editing tool to add a building polygon feature by tracing the building from the raster image that was georeferenced earlier. Following the same process to add a road feature to the road layer. I added the eagle nest layer and a hyperlinked picture to the attribute data. I proceeded to create two conservation easement 330 Ft and 660 FT around the eagle nest using the Multiple Ring Buffer tool. Lastly, I created a layout showing UWF campus and eagle nest location.

In part three I created 3D scene for UWF Campus using Lidar data. First, I need to create a DEM layer from Lidar data that was provided. I used LAS Dataset to Raster conversion tool to convert Lidar data to DEM. Adding UWF campus buildings layer, roads layer, north and south raster images.