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EGU2019 DeepBedMap Poster #133

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weiji14 opened this issue Apr 7, 2019 · 0 comments · Fixed by #136
Closed

EGU2019 DeepBedMap Poster #133

weiji14 opened this issue Apr 7, 2019 · 0 comments · Fixed by #136
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weiji14 commented Apr 7, 2019

Hi!

If you've noticed my poster at the EGU2019 conference (see also abstract), here is a digital pdf copy of it (click on the image to download):

EGU2019_DeepBedMap_poster

For more details, I've also given two talks before on the topic:

Feel free to look around the repository, ask any questions or leave a comment below 😄

The poster itself was made using a trial 'PRO' version of Gravit Designer Version 2019-1.4. The centrepiece map was composed in QGIS 3.6 Noosa. I will be slowly releasing the code/scripts used to produce the figures via Pull Request #136.

@weiji14 weiji14 added this to the v0.8.0 milestone Apr 7, 2019
@weiji14 weiji14 self-assigned this Apr 7, 2019
@weiji14 weiji14 pinned this issue Apr 7, 2019
weiji14 added a commit that referenced this issue Apr 7, 2019
Part of #133. Linking to the 'issue' containing my EGU2019 DeepBedMap poster! A digital pdf copy of it that is.
weiji14 added a commit that referenced this issue Apr 19, 2019
Part of #133. Releasing code to reproduce some of the result figures in my DeepBedMap poster at the EGU 2019 General Assembly. The 3D figure uses a test area over Pine Island Glacier that combines the extent of 2007tx, 2010tr and istarxx (instead of just 2007tx before). The elevation error histogram uses only the 2007tx file. Font sizes of the titles, axes labels and so on have been increased, and the resulting figures were saved in a pdf format before being imported to Gravit Designer for poster production.

Also fixed a bug in the bicubic BEDMAP2 figure which had a slightly wrong size before compared to the predicted DeepBedMap image. Graham et al., 2017's synthetic grid was also compared with, but note that I have not actually published the downloading code. The original synthetic NetCDF file can be found at https://doi.org/10.4225/15/57464ADE22F50, and I have converted it to a 16-bit GeoTIFF using xarray.open_dataset, flipping it on the y-axis, and saving it with rasterio.
@weiji14 weiji14 unpinned this issue Jul 31, 2020
@weiji14 weiji14 pinned this issue Feb 25, 2021
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