Brief Communications: Tides and Damage as Drivers of Lake Drainages on Shackleton Ice Shelf

This upload contains all relevant code and data used in the paper:"Brief Communications: Tides and Damage as Drivers of Lake Drainages on Shackleton Ice Shelf"by Julius Sommer, Maaike Izeboud*, Sophie de Roda Husman, Bert Wouters, and Stef Lhermitte.*Corresponding Author Sources of directly used data/code are here mentioned under related work and properly referenced with the main publication. GEE -> code to be processed in Google Earth Engine to access satellite data for S1, S2 and L8. export_S1_2tif exporting S1 SAR data in tiles to .tif export_vx-vy_2tif exporting velocity (ITS_LIVE campaign by Gardner et al. (2020)) in tiles to .tif sommer_00 functions to access S2 and L8, functions to perform meltwater detection based on Moussavi et al. (2020) and Tuckett et al. (2021) sommer_01 execution of sommer_00 for specific settings sommer_02 based on coordinates and window size, collect all S1, S2, and L8 images within a certain period Code -> python code that processes, and plots the obtained mosaics from GEE (each section contains its own readme.me file) app A module containing all relevant code/functions/etc ..., splitted by dmg, files, lakes, tides, and utils. plot_* Contains notebooks in which certain steps are visualised. process_dmg (seperate readme.me) contains notebooks and files, in order to process S1 SAR data with NeRD, towards satellite-derived relative damage and activeness maps. process_lakes (seperate readme.me) contains notebooks and files, in order to process S2 and L8 based meltwater masks, analysing those mosaics, detecting drainages, etc.. plot_figures Plotting of the figures shown in the publication and SI. Data -> seperated into raw, processed and cleaned Due to size constraints raw satellite imagery is not part of this repository. Refer to GEE code section for further information how the raw satellite mosaics are obtained. 01_raw Data that is either collected from sources (publication), or comes from previous GEE processin step (meltwater detection). raw satellite imagery itself is not part of this repositor due to size constraints. 02_processed Intermediate steps (not part of this repostiory due to size constraints). 03_cleaned Contains all cleaned data that was used to produces the plots shown in the publication and SI. Further, for each detected drainage event the series of S1, S2 and L8 are shown over the respective Antarctic summer.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-14
DOI
https://doi.org/10.5281/zenodo.17352529
Primary Topic
Archaeological Research and Protection
Type
article
Field-Weighted Citation Impact
0.00
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article

Brief Communications: Tides and Damage as Drivers of Lake Drainages on Shackleton Ice Shelf

Zenodo (CERN European Organization for Nuclear Research)
Archaeological Research and Protection
article

Brief Communications: Tides and Damage as Drivers of Lake Drainages on Shackleton Ice Shelf

article en

Abstract

This upload contains all relevant code and data used in the paper:"Brief Communications: Tides and Damage as Drivers of Lake Drainages on Shackleton Ice Shelf"by Julius Sommer, Maaike Izeboud*, Sophie de Roda Husman, Bert Wouters, and Stef Lhermitte.*Corresponding Author Sources of directly used data/code are here mentioned under related work and properly referenced with the main publication. GEE -> code to be processed in Google Earth Engine to access satellite data for S1, S2 and L8. export_S1_2tif exporting S1 SAR data in tiles to .tif export_vx-vy_2tif exporting velocity (ITS_LIVE campaign by Gardner et al. (2020)) in tiles to .tif sommer_00 functions to access S2 and L8, functions to perform meltwater detection based on Moussavi et al. (2020) and Tuckett et al. (2021) sommer_01 execution of sommer_00 for specific settings sommer_02 based on coordinates and window size, collect all S1, S2, and L8 images within a certain period Code -> python code that processes, and plots the obtained mosaics from GEE (each section contains its own readme.me file) app A module containing all relevant code/functions/etc ..., splitted by dmg, files, lakes, tides, and utils. plot_* Contains notebooks in which certain steps are visualised. process_dmg (seperate readme.me) contains notebooks and files, in order to process S1 SAR data with NeRD, towards satellite-derived relative damage and activeness maps. process_lakes (seperate readme.me) contains notebooks and files, in order to process S2 and L8 based meltwater masks, analysing those mosaics, detecting drainages, etc.. plot_figures Plotting of the figures shown in the publication and SI. Data -> seperated into raw, processed and cleaned Due to size constraints raw satellite imagery is not part of this repository. Refer to GEE code section for further information how the raw satellite mosaics are obtained. 01_raw Data that is either collected from sources (publication), or comes from previous GEE processin step (meltwater detection). raw satellite imagery itself is not part of this repositor due to size constraints. 02_processed Intermediate steps (not part of this repostiory due to size constraints). 03_cleaned Contains all cleaned data that was used to produces the plots shown in the publication and SI. Further, for each detected drainage event the series of S1, S2 and L8 are shown over the respective Antarctic summer.

Zenodo (CERN European Organization for Nuclear Research)
Delft University of Technology (NL), KU Leuven (BE)
Life below water
Openalex Percentile: Top 31%
Archaeological Research and Protection
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