Summary
The main objectives of these tasks were to become familiar with the ArcGIS Pro tools for United States classifications for different sets of data readily available. The most difficult learning curve by far was diving into the software and understanding how to better leverage it to create more compelling deliverables! (Definitely seems like that’s been the case for everyone assignment) This should be the case though because if that’s not the case then you’re content with your work and there's no growth. To list a few of the drawings depicted below, as shown in Fig. 1, this covers the displaying Supervised & Unsupervised Land Cover Classification. Basically, the same as object classification but specifying whether it’s pixel or color based and how it’s defined as supervised or unsupervised. For Fig.2 this displays Digital Surface Model, and this was just really fun to see what I flew and was able analyze through my own efforts. The learning curve for this assignment was definitely learning how to create the Trees within 10m Buffer of Two Track Roads (Fig. 6) because this map was definitely the most involved and required the greatest number of steps to fully pull off. Obviously super satisfied by completing this entire year and this assignment! Overall, this was a really good opportunity to further become well versed within ArcGIS Pro and continue to hone our skills for future career opportunities!
This embedded link can't be shown.
Fig. 1: Supervised & Unsupervised Land Cover Classification
Fig. 3: DSM w/vegetation >6m
Fig. 4: Rasterized Two Track Roads w/10m-Buffer
Fig. 5: Manual Classification of Roads and Land Cover
Fig. 6: Trees within 10m Buffer of Two Track Roads
Fig. 7: 10m Buffer of Two Track Roads
Fig. 8: Purdue Wildlife Area Locator Map
Fig. 9: DSM & Orthomosaic Comparision
Fig. 10: Mission Orthomosaic