ArcGIS Pro: Machine Learning Classification for Impervious Surfaces

Many local government institutions use impervious surfaces (i.e. roads, roofs, and sidewalks) to calculate the stormwater bill for a property. In this demo, learn how to use machine learning classification to extract features from multispectral imagery. We’ll use an object-oriented feature extraction method and ArcGIS Pro classification wizard to accomplish this.

ArcGIS products used: ArcGIS Pro and ArcGIS Image Analyst extension

---------------------------------------------------------------------------------------------------
Follow us on Social Media!

[dr.jamilkazmi]

Excellent demonstration of a very difficult task in a very user-friendly manner! Congrats!

[akoskalman]

This is an amazing tool! Is it possible to use it for classifying microscope images?

[GlovesupSwampy]

I could see considerable roof areas that the tool missed, im guessing theres alot of manual clean-up involved in this process that the tutorial skimmed over?

[geebee]

This classification and segmentation processes/features can be added in my ArcGIS Experience builder app?

[nomadhomad]

Whats the point if we're not taugh how the collective of training material was captured...

[skynetpro]

are u trying to train SVM with the same data on which u are testing it

[alexandercarloni]

How is this different from supervised classification

[ansabqaiser]

tell us to make the schema. we know the tools. dumb explanation