CNN-watershed: A machine learning-based tool for delineation and measurement of ice wedge polygons in high-resolution digital elevation models

This repository contains data and code used in the paper "Rapid machine-learning-based extraction and measurement of ice wedge polygons in high-resolution digital elevation models" by Abolt et al. in The Cryosphere (2019). See the included README file for instructions on usage.

Bibliographic Details
Main Authors: Abolt, Charles J, Young, Michael H, Atchley, Adam L, Wilson, Cathy J
Format: Software
Language:English
Published: 2019
Subjects:
ice wedge polygon
permafrost
thermokarst
deep learning
machine learning
convolutional neural network
Ice
Thermokarst
wedge*
Online Access:https://zenodo.org/record/2554542
https://doi.org/10.5281/zenodo.2554542
Description
Summary:This repository contains data and code used in the paper "Rapid machine-learning-based extraction and measurement of ice wedge polygons in high-resolution digital elevation models" by Abolt et al. in The Cryosphere (2019). See the included README file for instructions on usage.

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