TermPicks: a century of Greenland glacier terminus data for use in scientific and machine learning applications
Marine-terminating outlet glacier terminus traces, mapped from satellite and aerial imagery, have been used extensively in understanding how outlet glaciers adjust to climate change variability over a range of timescales. Numerous studies have digitized termini manually, but this process is labor in...
Published in: | The Cryosphere |
---|---|
Main Authors: | , , , , , , , , , , , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Copernicus Publications
2022
|
Subjects: | |
Online Access: | https://doi.org/10.5194/tc-16-3215-2022 https://doaj.org/article/38a4417a71f344f583e0848e1fb10208 |
id |
ftdoajarticles:oai:doaj.org/article:38a4417a71f344f583e0848e1fb10208 |
---|---|
record_format |
openpolar |
spelling |
ftdoajarticles:oai:doaj.org/article:38a4417a71f344f583e0848e1fb10208 2023-05-15T16:21:05+02:00 TermPicks: a century of Greenland glacier terminus data for use in scientific and machine learning applications S. Goliber T. Black G. Catania J. M. Lea H. Olsen D. Cheng S. Bevan A. Bjørk C. Bunce S. Brough J. R. Carr T. Cowton A. Gardner D. Fahrner E. Hill I. Joughin N. J. Korsgaard A. Luckman T. Moon T. Murray A. Sole M. Wood E. Zhang 2022-08-01T00:00:00Z https://doi.org/10.5194/tc-16-3215-2022 https://doaj.org/article/38a4417a71f344f583e0848e1fb10208 EN eng Copernicus Publications https://tc.copernicus.org/articles/16/3215/2022/tc-16-3215-2022.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-16-3215-2022 1994-0416 1994-0424 https://doaj.org/article/38a4417a71f344f583e0848e1fb10208 The Cryosphere, Vol 16, Pp 3215-3233 (2022) Environmental sciences GE1-350 Geology QE1-996.5 article 2022 ftdoajarticles https://doi.org/10.5194/tc-16-3215-2022 2022-12-30T22:42:16Z Marine-terminating outlet glacier terminus traces, mapped from satellite and aerial imagery, have been used extensively in understanding how outlet glaciers adjust to climate change variability over a range of timescales. Numerous studies have digitized termini manually, but this process is labor intensive, and no consistent approach exists. A lack of coordination leads to duplication of efforts, particularly for Greenland, which is a major scientific research focus. At the same time, machine learning techniques are rapidly making progress in their ability to automate accurate extraction of glacier termini, with promising developments across a number of optical and synthetic aperture radar (SAR) satellite sensors. These techniques rely on high-quality, manually digitized terminus traces to be used as training data for robust automatic traces. Here we present a database of manually digitized terminus traces for machine learning and scientific applications. These data have been collected, cleaned, assigned with appropriate metadata including image scenes, and compiled so they can be easily accessed by scientists. The TermPicks data set includes 39 060 individual terminus traces for 278 glaciers with a mean of 136 ± 190 and median of 93 of traces per glacier. Across all glaciers, 32 567 dates have been digitized, of which 4467 have traces from more than one author, and there is a duplication rate of 17 %. We find a median error of ∼ 100 m among manually traced termini. Most traces are obtained after 1999, when Landsat 7 was launched. We also provide an overview of an updated version of the Google Earth Engine Digitization Tool (GEEDiT), which has been developed specifically for future manual picking of the Greenland Ice Sheet. Article in Journal/Newspaper glacier Greenland Ice Sheet The Cryosphere Directory of Open Access Journals: DOAJ Articles Greenland The Cryosphere 16 8 3215 3233 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Environmental sciences GE1-350 Geology QE1-996.5 |
spellingShingle |
Environmental sciences GE1-350 Geology QE1-996.5 S. Goliber T. Black G. Catania J. M. Lea H. Olsen D. Cheng S. Bevan A. Bjørk C. Bunce S. Brough J. R. Carr T. Cowton A. Gardner D. Fahrner E. Hill I. Joughin N. J. Korsgaard A. Luckman T. Moon T. Murray A. Sole M. Wood E. Zhang TermPicks: a century of Greenland glacier terminus data for use in scientific and machine learning applications |
topic_facet |
Environmental sciences GE1-350 Geology QE1-996.5 |
description |
Marine-terminating outlet glacier terminus traces, mapped from satellite and aerial imagery, have been used extensively in understanding how outlet glaciers adjust to climate change variability over a range of timescales. Numerous studies have digitized termini manually, but this process is labor intensive, and no consistent approach exists. A lack of coordination leads to duplication of efforts, particularly for Greenland, which is a major scientific research focus. At the same time, machine learning techniques are rapidly making progress in their ability to automate accurate extraction of glacier termini, with promising developments across a number of optical and synthetic aperture radar (SAR) satellite sensors. These techniques rely on high-quality, manually digitized terminus traces to be used as training data for robust automatic traces. Here we present a database of manually digitized terminus traces for machine learning and scientific applications. These data have been collected, cleaned, assigned with appropriate metadata including image scenes, and compiled so they can be easily accessed by scientists. The TermPicks data set includes 39 060 individual terminus traces for 278 glaciers with a mean of 136 ± 190 and median of 93 of traces per glacier. Across all glaciers, 32 567 dates have been digitized, of which 4467 have traces from more than one author, and there is a duplication rate of 17 %. We find a median error of ∼ 100 m among manually traced termini. Most traces are obtained after 1999, when Landsat 7 was launched. We also provide an overview of an updated version of the Google Earth Engine Digitization Tool (GEEDiT), which has been developed specifically for future manual picking of the Greenland Ice Sheet. |
format |
Article in Journal/Newspaper |
author |
S. Goliber T. Black G. Catania J. M. Lea H. Olsen D. Cheng S. Bevan A. Bjørk C. Bunce S. Brough J. R. Carr T. Cowton A. Gardner D. Fahrner E. Hill I. Joughin N. J. Korsgaard A. Luckman T. Moon T. Murray A. Sole M. Wood E. Zhang |
author_facet |
S. Goliber T. Black G. Catania J. M. Lea H. Olsen D. Cheng S. Bevan A. Bjørk C. Bunce S. Brough J. R. Carr T. Cowton A. Gardner D. Fahrner E. Hill I. Joughin N. J. Korsgaard A. Luckman T. Moon T. Murray A. Sole M. Wood E. Zhang |
author_sort |
S. Goliber |
title |
TermPicks: a century of Greenland glacier terminus data for use in scientific and machine learning applications |
title_short |
TermPicks: a century of Greenland glacier terminus data for use in scientific and machine learning applications |
title_full |
TermPicks: a century of Greenland glacier terminus data for use in scientific and machine learning applications |
title_fullStr |
TermPicks: a century of Greenland glacier terminus data for use in scientific and machine learning applications |
title_full_unstemmed |
TermPicks: a century of Greenland glacier terminus data for use in scientific and machine learning applications |
title_sort |
termpicks: a century of greenland glacier terminus data for use in scientific and machine learning applications |
publisher |
Copernicus Publications |
publishDate |
2022 |
url |
https://doi.org/10.5194/tc-16-3215-2022 https://doaj.org/article/38a4417a71f344f583e0848e1fb10208 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
glacier Greenland Ice Sheet The Cryosphere |
genre_facet |
glacier Greenland Ice Sheet The Cryosphere |
op_source |
The Cryosphere, Vol 16, Pp 3215-3233 (2022) |
op_relation |
https://tc.copernicus.org/articles/16/3215/2022/tc-16-3215-2022.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-16-3215-2022 1994-0416 1994-0424 https://doaj.org/article/38a4417a71f344f583e0848e1fb10208 |
op_doi |
https://doi.org/10.5194/tc-16-3215-2022 |
container_title |
The Cryosphere |
container_volume |
16 |
container_issue |
8 |
container_start_page |
3215 |
op_container_end_page |
3233 |
_version_ |
1766009105961451520 |