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. ...
| Main Authors: | , , , |
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| Format: | Article in Journal/Newspaper |
| Language: | English |
| Published: |
Zenodo
2019
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.5281/zenodo.2554542 https://zenodo.org/record/2554542 |
| _version_ | 1821538662832144384 |
|---|---|
| author | Abolt, Charles J Young, Michael H Atchley, Adam L Wilson, Cathy J |
| author_facet | Abolt, Charles J Young, Michael H Atchley, Adam L Wilson, Cathy J |
| author_sort | Abolt, Charles J |
| collection | DataCite |
| description | 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. ... |
| format | Article in Journal/Newspaper |
| genre | Ice permafrost Thermokarst wedge* |
| genre_facet | Ice permafrost Thermokarst wedge* |
| id | ftdatacite:10.5281/zenodo.2554542 |
| institution | Open Polar |
| language | English |
| op_collection_id | ftdatacite |
| op_doi | https://doi.org/10.5281/zenodo.255454210.5194/tc-13-237-201910.5281/zenodo.2554541 |
| op_relation | https://dx.doi.org/10.5194/tc-13-237-2019 https://dx.doi.org/10.5281/zenodo.2554541 |
| op_rights | Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess |
| publishDate | 2019 |
| publisher | Zenodo |
| record_format | openpolar |
| spelling | ftdatacite:10.5281/zenodo.2554542 2025-01-16T22:21:26+00:00 CNN-watershed: A machine learning-based tool for delineation and measurement of ice wedge polygons in high-resolution digital elevation models ... Abolt, Charles J Young, Michael H Atchley, Adam L Wilson, Cathy J 2019 https://dx.doi.org/10.5281/zenodo.2554542 https://zenodo.org/record/2554542 en eng Zenodo https://dx.doi.org/10.5194/tc-13-237-2019 https://dx.doi.org/10.5281/zenodo.2554541 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess ice wedge polygon permafrost thermokarst deep learning machine learning convolutional neural network Software SoftwareSourceCode article 2019 ftdatacite https://doi.org/10.5281/zenodo.255454210.5194/tc-13-237-201910.5281/zenodo.2554541 2023-05-02T10:56:35Z 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. ... Article in Journal/Newspaper Ice permafrost Thermokarst wedge* DataCite |
| spellingShingle | ice wedge polygon permafrost thermokarst deep learning machine learning convolutional neural network Abolt, Charles J Young, Michael H Atchley, Adam L Wilson, Cathy J CNN-watershed: A machine learning-based tool for delineation and measurement of ice wedge polygons in high-resolution digital elevation models ... |
| title | CNN-watershed: A machine learning-based tool for delineation and measurement of ice wedge polygons in high-resolution digital elevation models ... |
| title_full | CNN-watershed: A machine learning-based tool for delineation and measurement of ice wedge polygons in high-resolution digital elevation models ... |
| title_fullStr | CNN-watershed: A machine learning-based tool for delineation and measurement of ice wedge polygons in high-resolution digital elevation models ... |
| title_full_unstemmed | CNN-watershed: A machine learning-based tool for delineation and measurement of ice wedge polygons in high-resolution digital elevation models ... |
| title_short | CNN-watershed: A machine learning-based tool for delineation and measurement of ice wedge polygons in high-resolution digital elevation models ... |
| title_sort | cnn-watershed: a machine learning-based tool for delineation and measurement of ice wedge polygons in high-resolution digital elevation models ... |
| topic | ice wedge polygon permafrost thermokarst deep learning machine learning convolutional neural network |
| topic_facet | ice wedge polygon permafrost thermokarst deep learning machine learning convolutional neural network |
| url | https://dx.doi.org/10.5281/zenodo.2554542 https://zenodo.org/record/2554542 |