Datasets for "Where the White Continent is blue: deep learning locates bare ice in Antarctica" ...
This archive provides datasets related to the following manuscript: V. Tollenaar, H. Zekollari, F. Pattyn, M. Rußwurm, B. Kellenberger, S. Lhermitte, M. Izeboud, D. Tuia, Where the White Continent is blue: deep learning locates bare ice in Antarctica, [Paper # 2023GL106285] Contact: Veronica Tollena...
Main Authors: | , , , , , , , |
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Format: | Dataset |
Language: | unknown |
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Zenodo
2023
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Subjects: | |
Online Access: | https://dx.doi.org/10.5281/zenodo.8333864 https://zenodo.org/record/8333864 |
Summary: | This archive provides datasets related to the following manuscript: V. Tollenaar, H. Zekollari, F. Pattyn, M. Rußwurm, B. Kellenberger, S. Lhermitte, M. Izeboud, D. Tuia, Where the White Continent is blue: deep learning locates bare ice in Antarctica, [Paper # 2023GL106285] Contact: Veronica Tollenaar, Veronica.Tollenaar@ulb.be Data is provided for review and should not be shared. About the datasets: it includes the seven-band MODIS composite ("merged_bands_composite3031080910.tif"), the outlines of our set of training ("train_squares.zip"), validation ("validation_squares.zip"), and testing regions ("test_squares.zip"), the predictions on the presence of blue ice ("final_map.nc"), the corresponding uncertainty estimates ("final_map.nc"), and the smoothed blue ice area outlines ("smoothed_BIAs.zip"). References to the literature are provided in the corresponding manuscript. - final_map.nc: netcdf in which the band "mean" represents the predictions on the presence of blue ice, and the band "std" the ... |
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