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Image Classification of Marine-Terminating Outlet Glaciers using Deep Learning Methods: Pre-trained Models [dataset] Open Access
This dataset includes the convolutional neural network (CNN) models trained for image classification of marine-terminating outlet glaciers using a deep learning workflow. Specifically the models are pre-trained using 13 images of Helheim Glacier and can be used for classification of marine-terminating outlet glaciers anywhere in the world. There are nine models in the dataset trained using image tile sizes of 50x50, 75x75, and 100x100 pixels.
Descriptions
- Resource type
- Dataset
- Contributors
- Creator:
Marochov, Melanie
1
Creator: Carbonneau, Patrice 1
1 Durham University
- Funder
- Research methods
-
Deep Learning
- Other description
-
The models can be applied using the scripts published in the Zenodo repository: http://doi.org/10.5281/zenodo.4081095
- Keyword
- Deep Learning
Marine-Terminating Outlet Glaciers
Convolutional Neural Networks
Sentinel-2 Imagery
- Subject
-
Remote sensing
Glaciology
- Location
- Language
- Cited in
- Identifier
- ark:/32150/r2gh93gz51k
doi:10.15128/r2gh93gz51k
- Rights
- Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC)
- Publisher
-
Durham University
- Date Created
File Details
- Depositor
- M. Marochov
- Date Uploaded
- 14 October 2020, 17:10:13
- Date Modified
- 22 October 2020, 10:10:30
- Audit Status
- Audits have not yet been run on this file.
- Characterization
-
File format: zip (ZIP Format)
Mime type: application/zip
File size: 1435785838
Last modified: 2020:10:14 18:26:45+01:00
Filename: PreTrained_Models.zip
Original checksum: bd2bf6cccc99f533aeb6f355fcc11d12