Roanoke Land Cover Classification

Jason Boatjri
Jason Boatjri

July 12, 2023

Roanoke Land Cover Classification

In my remote sensing class, I transform a Landsat satellite image of the Roanoke area into a land cover map. I used three classification methods, cluster unsupervised classification,  maximum likelihood supervised classification, and minimum distance supervised classification. I split the land cover into five categories, urban, agriculture, forest, water, and soil. To measure if my supervised method were accurate I ran a signature mean plot and kappa statistics using random point sampling. The outcome is my supervised process was accurate except for the soil was hard to separate between urban.


Tools used

Erdas Imagine

Plug-ins used

iso cluster unsupervised classificationmaximum likelihood classificationminimum distance classification

tags

image classification

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