Southwest Greenland Ice Sheet Yearly Ice Velocities dataset from 1984 to 2020

The present dataset is published after the work of Paul Halas, Jérémie Mouginot, Basile de Fleurian and Petra Langebroek on the Southwest of the Greenland Ice Sheet. It provides ice velocity products derived using the processing chain developped by Jérémie Mouginot and collaborators, following the s...

Full description

Bibliographic Details
Main Authors: Paul Halas, Jérémie Mouginot, Basile de Fleurian, Petra Langebroek
Format: Dataset
Language:unknown
Published: 2022
Subjects:
Online Access:https://zenodo.org/record/7418361
https://doi.org/10.5281/zenodo.7418361
Description
Summary:The present dataset is published after the work of Paul Halas, Jérémie Mouginot, Basile de Fleurian and Petra Langebroek on the Southwest of the Greenland Ice Sheet. It provides ice velocity products derived using the processing chain developped by Jérémie Mouginot and collaborators, following the steps described in Romain Millan’s paper ”Mapping Surface Flow Velocity of Glaciers at Regional Scale Using a Multiple Sensors Approach” (https://doi.org/10.3390/rs11212498). In order to derive the velocity fields, we used all available imagery from Landsat 5, Landsat 7 and Landsat 8, from 1984 up to 2021, with less than 40% cloud coverage. Unfortunately, no data was collected for 1984, 1993, 1996, 1997 and 1998. Please also note that the spatial coverage is really limited before 1999. From 2016, satellite imagery from Sentinel-2 is also used, improving the spatial coverage of our velocity maps. In this archive, we provide: • Complete dataset of all velocity fields derived from every image pair; • Yearly median results run through all data for every single pixel; • Yearly GeoTIFF spatial aggregate of all previously computed medians; • The shapefile ”cube grid.shp” describing the grid used for our area. For any question, please contact Paul Halas (paul.halas@uib.no). This dataset was produced as part of the SWItchDyn project funded by the Research Council of Norway (NFR-287206) and the Bjerknes Centre for Climate Research strategic project RISES. Computing was performed on the resources provided by UNINETT Sigma2 – the National Infrastructure for High Performance Computing and Data Storage in Norway (NN9635K and NS9635K).