Change Detection

Definition

Change Detection in GIS involves identifying differences in the state of an object or phenomenon over time using satellite images, aerial photos, or geospatial datasets. It is key for tracking land use changes, urban expansion, environmental degradation, or post-disaster impacts.

Application

Widely applied in forestry, urban monitoring, agriculture, and disaster management. GIS tools compare datasets from different dates to assess patterns of change at local or regional scales.

FAQ

What is the purpose of change detection in GIS?

To monitor how geographic features evolve over time and identify significant changes like deforestation, development, or natural damage.

What types of data are used for change detection?

Common sources include multi-temporal satellite imagery, LiDAR, drone footage, and archived geospatial datasets.

How is change detection performed in GIS software?

Through image differencing, classification comparison, vegetation indices, or post-classification analysis methods.

Why is change detection valuable for environmental planning?

It enables early detection of degradation, assessment of conservation efforts, and informed land use policy decisions.