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
Learn more: bit.ly/2Wf0A15
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[@dr.jamilkazmi1149]

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

[@Benragel]

Gracias!, me ha gustado!

[@gozieaf]

Awesome 👏

[@akoskalman3897]

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

[@geebee2928]

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

[@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?

[@LlamasEatHotdogs]

8h later and Im at 26%... Also, why does the segmented image become homogenized when I zoom in? From a distance, it looks fine but then I zoom in on a lawn and everything just gets homogenized.

[@alexandercarloni8339]

How is this different from supervised classification

[@vcommodore9161]

You pick segments instead of drawing your own shape.

[@skynetpro549]

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

[@nomadhomad3685]

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

[@ansabqaiser9699]

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