Change Analysis || Change Detection || Using Unsupervised Classification in ARCMAP Version 10.2.2

Change detection in GIS is a method of understanding how a given area has changed between two or more time periods. Change detection is helpful for understanding the change in forest coverage, ice sheets, and land use. Change detection involves comparing changes between aerial photographs taken over different time periods that cover the exact same geographic area.

Change detection can be used to measure four different types of change:

Change in the identify of a feature over time. For example, the change in type of retail store at a given location. A local restaurant may go out of business and be replaced by a toy store. The actual physical building hasn’t changed, the type of categorized land use hasn’t change (commercial), but the specific identity of the store has change.
Change of a feature’s location over time. Change detection can be used to track the movement of a feature.
Change of a feature’s shape over time. Change detection can be used to understand shrinkage in a specific specie’s habitat over time or the changes in the shape of a river or lake.
Change in a feature’s size over time. Change detection can also measure the extent of a feature. Does the urban area grow or shrink between two time points.
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