Object Based Classification Part 2

Introduction

This blog post is essentially a continuation of the previous blog post named Object-Based Classification Part 1. In this lab, however, we were tasked with completing our object-based classification outside of a tutorial environment. In addition to this since we have previously made our instruction manual on how to do object-based classification, we used that to help guide us in creating more classification layers for a different data set.

Methods

As mentioned in the Introduction, by using our previously created instructions on how to go about doing object-based classification, I was able to use ARC-GIS pro to help identify different classification layers that I had created. Some of these layers were;

• Gravel

• Grass

• Trees/Bushes

• Cars

As you will see in the deliverables section of this post, I was then able to classify these different layers as being either pervious or impervious. These are both terms that I discussed in the previous blog post which was part 1 of this.

Deliverables and Discussion

A big reason being able to conduct object-based classification is a critical element of spatial analysis is because it helps allow for the calculation of the area of different features. What this means is that by classifying all the different objects you can then further identify spatial properties specific to that one type of object. This is shown in the figures below as each classified object corresponds to a different size area.

Figure 1: Area coverage of each class.