I want to detect avalanche debris of a known avalanche using Sentinel-2 optical imagery. I've calculated the Normalized Difference Snow Index and from there I've extracted all the values above 0.4 which gives me a raster file that contains all the snow for the scene. There, I can easily recognise the avalanche debris that lie below the snow line based on their distinctive elongated tongue shape.

Basically what I want to end up with is a file that contains nothing but the avalanche debris without manually selecting them. Is it possible for ArcGIS to identify and extract these elongated tongue shapes?

I'm rather new to ArcGIS so I have no idea if this is super trivial or practically impossible.

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    – Midavalo
    May 6 '17 at 16:35
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    – underdark
    May 6 '17 at 18:50

ArcGIS does not currently have advanced feature extraction capabilities. The most advanced image classification tools available in ArcGIS would be the segmentation and classification tools available with the Spatial Analyst extension. However, keep in mind that this approach would not be able to distinguish between shapes to extract debris fields.

I would recommend using Python libraries such as scikit-learn, scikit-image, or OpenCV--all of which have many examples. If you prefer a graphic user interface for extracting features from imagery, the gold standard is eCognition Developer.

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