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Object Classification - April 9th, 2026

Summary

The main objectives of these tasks were to become familiar with the ArcGIS Pro tools for the actual Object classification. 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 Cracks Detected within the classification that I conducted on this small strip of road. Basically, what we did was we brought in the data set and used pixel color to determine the different types of objects within the classified area. For Fig.2 this displays Permeable vs. Impermeable surfaces, and this was conducted in the same matter as Fig. 1. The learning curve for this assignment was definitely learning how to create the Land Cover classification (Fig. 3), and this wasn’t because of the fact it took longer to collect the training samples, but due to the fact we also had to conduct area calculations surrounding the desired dataset. 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!

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Fig. 1: Crack Detection Classification

Fig. 1: Crack Detection Classification

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Fig. 2: Permeable vs. Impermeable Surface Map

Fig. 2: Permeable vs. Impermeable Surface Map

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Fig. 3: Land Cover Classification

Fig. 3: Land Cover Classification

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