Geodetic mass balance of Mýrdalsjökull ice cap, 1999−2021: DEM processing and climate analysis

This repository gathers the data I used and produced during my master thesis at the University of Iceland from April to September 2022 with the financial support of the Landsvirkjun. The geodetic mass of Mýrdalsjökull, the fourth largest Icelandic ice cap, was investigated over the period 1999-2021....

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Bibliographic Details
Main Author: Bernat Maud
Other Authors: Belart M.C. Joaquín
Format: Other/Unknown Material
Language:English
Published: Zenodo 2022
Subjects:
Online Access:https://doi.org/10.5281/zenodo.7058006
Description
Summary:This repository gathers the data I used and produced during my master thesis at the University of Iceland from April to September 2022 with the financial support of the Landsvirkjun. The geodetic mass of Mýrdalsjökull, the fourth largest Icelandic ice cap, was investigated over the period 1999-2021. The untapped SPOT5 archive (2002−2015), the lidar data, the Pléiades imagery (2011−present), aerial photographs from 1999 [1] and the ArcticDEM dataset (2010−2019) [2] were used to create Digital Elevation Models (DEMs) of the ice cap. A pre-processing of the DEMs was first performed: co-registration, filtering and interpolation. Then, applying a Gaussian Process regression (GP) [3], a state-of-the-art method in DEM processing, a spatially and temporally continuous DEM dataset was created, in 15 x 15 m resolution and 1-month interval from 1999 to 2021. Volume and mass changes based on the synthetic GP-generated DEMs were computed and analyzed in 5-year and annual intervals between 1999 and 2019. A local analysis of three glacierized catchments of Mýrdalsjökull (southern catchment, northern catchment and Kötlujökull outlet) was also performed. Errors were estimated using the method from [4]. Tools from the following repositories were used: demcoreg ( https://doi.org/10.5281/zenodo.5733347 ): DEM co-registration xdem ( https://doi.org/10.5281/zenodo.4809698 ): uncertainties computation and DEM manipulation pyddem ( https://pypi.org/project/pyddem/ ): Gaussian Process regression The complete master thesis can be accessed at : The repository contains the following data: 1 – DEM_coregistered All DEMs have been coregistered considering the Islandsdem v1.0 as a reference (atlas.lmi.is/dem) The DEM naming works as follow: Glaciername_DEM_date_sensor_resolution_zmae_projection_otherinformation.tif The files ending with *_filtered.tif (SPOT5, AerialPhotographs) have been filtered using the filtering combination described in 3.1.3. The files ending with *_mosaic.tif (SPOT5, Pléiades) are the result of the mosaicking of several ...