This week, we covered georeferencing raster files, editing vectors to digitize features from the rasters, and playing with LiDAR point clouds. First step: georeferencing rasters! I used control points to georeference these two images of the UWF campus and a survey drawing to vector layers of the buildings and roads on campus. I did well the first two images but got a little turned around with the survey. I realized I was clicking the wrong layer first (the vector instead of the survey raster) and had to delete all my points several times. But I figured it out in the end. The control points are a lot like controls points I use in 3D processing software to match features in images and scans, so it clicked really well in my mind. Next step: editing layers! I drew a polygon for the UWF gym and a line for a road segment. Saving is an important step! We did a few extra steps in here to add a hyperlinked image to a point representing an eagles nest, as well as creating a multi-ring buffer around said point. And lastly, I opened up a LiDAR point cloud in a 3D Scene. There are some pretty cool filtering tools that helped cut through the noise of trees and buildings to see the surface elevation. I created a DEM from this data and made another map with this data. Manipulating the 3D imagery was a little difficult as I'm used to 3D software, but I finally managed to make a decent layout.
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| Here's the first digital surface model I made in ArcGIS during this lab. Manipulating the map in the layout was tricky, so it's not the best view. I just need to keep playing! |


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