Supraglacial Debris Cover

This dataset is supplementary to the article of Scherler et al. (submitted), in which the global distribution of supraglacial debris cover is mapped and analyzed. For mapping supraglacial debris cover, we combined glacier outlines from the Randolph Glacier Inventory (RGI) version 6.0 (RGI consortium...

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Bibliographic Details
Main Authors: Scherler, Dirk, Wulf, Hendrik, Gorelick, Noel
Format: Dataset
Language:English
Published: GFZ Data Services 2018
Subjects:
Online Access:https://dx.doi.org/10.5880/gfz.3.3.2018.005
https://dataservices.gfz-potsdam.de/panmetaworks/showshort.php?id=escidoc:3473902
id ftdatacite:10.5880/gfz.3.3.2018.005
record_format openpolar
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Debris-covered glaciers
Remote sensing
Landsat 8
Sentinel-2A/B
Earth Observation Satellites > Sentinel GMES > SENTINEL-2
Earth Observation Satellites > LANDSAT > LANDSAT-8
EARTH SCIENCE SERVICES > MODELS > CRYOSPHERE MODELS
EARTH SCIENCE > CRYOSPHERE > GLACIERS/ICE SHEETS > GLACIERS
spellingShingle Debris-covered glaciers
Remote sensing
Landsat 8
Sentinel-2A/B
Earth Observation Satellites > Sentinel GMES > SENTINEL-2
Earth Observation Satellites > LANDSAT > LANDSAT-8
EARTH SCIENCE SERVICES > MODELS > CRYOSPHERE MODELS
EARTH SCIENCE > CRYOSPHERE > GLACIERS/ICE SHEETS > GLACIERS
Scherler, Dirk
Wulf, Hendrik
Gorelick, Noel
Supraglacial Debris Cover
topic_facet Debris-covered glaciers
Remote sensing
Landsat 8
Sentinel-2A/B
Earth Observation Satellites > Sentinel GMES > SENTINEL-2
Earth Observation Satellites > LANDSAT > LANDSAT-8
EARTH SCIENCE SERVICES > MODELS > CRYOSPHERE MODELS
EARTH SCIENCE > CRYOSPHERE > GLACIERS/ICE SHEETS > GLACIERS
description This dataset is supplementary to the article of Scherler et al. (submitted), in which the global distribution of supraglacial debris cover is mapped and analyzed. For mapping supraglacial debris cover, we combined glacier outlines from the Randolph Glacier Inventory (RGI) version 6.0 (RGI consortium, 2017) with remote sensing-based ice and snow identification. Areas that belong to glaciers but that are neither ice nor snow were classified as debris cover. This dataset contains the outlines of the mapped debris-covered glaciers areas, stored in shapefiles (.shp). For creating this dataset, we used optical satellite data from Landsat 8 (for the time period 2013-2017), and from Sentinel-2A/B (2015-2017). For the ice and snow identification, we used three different algorithms: a red to short-wavelength infrared (swir) band ratio (RATIO; Hall et al., 1988), the normalized difference snow index (NDSI; Dozier, 1989), and linear spectral unmixing-derived fractional debris cover (FDC; e.g., Keshava and Mustard, 2002). For a detailed description of the debris-cover mapping and an analysis of the data, please see Scherler et al. (2019) to which these data are supplementary material. This dataset includes debris cover outlines based on either Landsat 8 (LS8; 30-m resolution) or Sentinel 2 (S2; 10-m resolution), and the three algorithms RATIO, NDSI, FDC. In total, there exist six different zip-files that each contain 19 shapefiles. The structure of the shapefiles follows that of the RGI version 6.0 (RGI consortium, 2017), with one shapefile for each RGI region. The original RGI shapefiles provide each glacier as one entry (feature) and include a variety of ancillary information, such as area, slope, aspect (RGI Consortium 2017a, Technical Note p. 12ff). Because the debris-cover outlines are based on the RGI v6.0 glacier outlines, all fields of the original shapefiles, which refer to the glacier, are retained, and expanded with four new fields: - DC_Area: Debris-covered area in m². Note that this unit for area is different from the unit used for reporting the glacier area (km²).- DC_BgnDate: Start of the time period from which satellite imagery was used to map debris cover.- DC_EndDate: End of the time period from which satellite imagery was used to map debris cover.- DC_CTSmean: Mean number of observations (CTS = COUNTS) per pixel and glacier. This number is derived from the number of available satellite images for the respective time period, reduced by filtering pixels due to cloud and snow cover. The dataset has a global extent and covers all of the glaciers in the RGI v. 6.0, but it exhibits poor coverage in the RGI region Subantarctic and Antarctic, where the debris cover extents are based on very few observations.
format Dataset
author Scherler, Dirk
Wulf, Hendrik
Gorelick, Noel
author_facet Scherler, Dirk
Wulf, Hendrik
Gorelick, Noel
author_sort Scherler, Dirk
title Supraglacial Debris Cover
title_short Supraglacial Debris Cover
title_full Supraglacial Debris Cover
title_fullStr Supraglacial Debris Cover
title_full_unstemmed Supraglacial Debris Cover
title_sort supraglacial debris cover
publisher GFZ Data Services
publishDate 2018
url https://dx.doi.org/10.5880/gfz.3.3.2018.005
https://dataservices.gfz-potsdam.de/panmetaworks/showshort.php?id=escidoc:3473902
geographic Antarctic
geographic_facet Antarctic
genre Antarc*
Antarctic
genre_facet Antarc*
Antarctic
op_relation https://www.glims.org/RGI/00_rgi60_TechnicalNote.pdf
https://dx.doi.org/10.1029/2018gl080158
https://dx.doi.org/10.1016/0034-4257(89)90101-6
https://dx.doi.org/10.1016/0034-4257(88)90107-1
https://dx.doi.org/10.1109/79.974727
https://dx.doi.org/10.7265/n5-rgi-60
https://www.glims.org/RGI/00_rgi60_TechnicalNote.pdf
op_rights CC BY 3.0
http://creativecommons.org/licenses/by/3.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.5880/gfz.3.3.2018.005
https://doi.org/10.1029/2018gl080158
https://doi.org/10.1016/0034-4257(89)90101-6
https://doi.org/10.1016/0034-4257(88)90107-1
https://doi.org/10.1109/79.974727
https://doi.org/10.7265/n5-rgi-60
_version_ 1766262528225050624
spelling ftdatacite:10.5880/gfz.3.3.2018.005 2023-05-15T13:55:42+02:00 Supraglacial Debris Cover Scherler, Dirk Wulf, Hendrik Gorelick, Noel 2018 application/octet-stream https://dx.doi.org/10.5880/gfz.3.3.2018.005 https://dataservices.gfz-potsdam.de/panmetaworks/showshort.php?id=escidoc:3473902 en eng GFZ Data Services https://www.glims.org/RGI/00_rgi60_TechnicalNote.pdf https://dx.doi.org/10.1029/2018gl080158 https://dx.doi.org/10.1016/0034-4257(89)90101-6 https://dx.doi.org/10.1016/0034-4257(88)90107-1 https://dx.doi.org/10.1109/79.974727 https://dx.doi.org/10.7265/n5-rgi-60 https://www.glims.org/RGI/00_rgi60_TechnicalNote.pdf CC BY 3.0 http://creativecommons.org/licenses/by/3.0 CC-BY Debris-covered glaciers Remote sensing Landsat 8 Sentinel-2A/B Earth Observation Satellites > Sentinel GMES > SENTINEL-2 Earth Observation Satellites > LANDSAT > LANDSAT-8 EARTH SCIENCE SERVICES > MODELS > CRYOSPHERE MODELS EARTH SCIENCE > CRYOSPHERE > GLACIERS/ICE SHEETS > GLACIERS dataset Dataset 2018 ftdatacite https://doi.org/10.5880/gfz.3.3.2018.005 https://doi.org/10.1029/2018gl080158 https://doi.org/10.1016/0034-4257(89)90101-6 https://doi.org/10.1016/0034-4257(88)90107-1 https://doi.org/10.1109/79.974727 https://doi.org/10.7265/n5-rgi-60 2021-11-05T12:55:41Z This dataset is supplementary to the article of Scherler et al. (submitted), in which the global distribution of supraglacial debris cover is mapped and analyzed. For mapping supraglacial debris cover, we combined glacier outlines from the Randolph Glacier Inventory (RGI) version 6.0 (RGI consortium, 2017) with remote sensing-based ice and snow identification. Areas that belong to glaciers but that are neither ice nor snow were classified as debris cover. This dataset contains the outlines of the mapped debris-covered glaciers areas, stored in shapefiles (.shp). For creating this dataset, we used optical satellite data from Landsat 8 (for the time period 2013-2017), and from Sentinel-2A/B (2015-2017). For the ice and snow identification, we used three different algorithms: a red to short-wavelength infrared (swir) band ratio (RATIO; Hall et al., 1988), the normalized difference snow index (NDSI; Dozier, 1989), and linear spectral unmixing-derived fractional debris cover (FDC; e.g., Keshava and Mustard, 2002). For a detailed description of the debris-cover mapping and an analysis of the data, please see Scherler et al. (2019) to which these data are supplementary material. This dataset includes debris cover outlines based on either Landsat 8 (LS8; 30-m resolution) or Sentinel 2 (S2; 10-m resolution), and the three algorithms RATIO, NDSI, FDC. In total, there exist six different zip-files that each contain 19 shapefiles. The structure of the shapefiles follows that of the RGI version 6.0 (RGI consortium, 2017), with one shapefile for each RGI region. The original RGI shapefiles provide each glacier as one entry (feature) and include a variety of ancillary information, such as area, slope, aspect (RGI Consortium 2017a, Technical Note p. 12ff). Because the debris-cover outlines are based on the RGI v6.0 glacier outlines, all fields of the original shapefiles, which refer to the glacier, are retained, and expanded with four new fields: - DC_Area: Debris-covered area in m². Note that this unit for area is different from the unit used for reporting the glacier area (km²).- DC_BgnDate: Start of the time period from which satellite imagery was used to map debris cover.- DC_EndDate: End of the time period from which satellite imagery was used to map debris cover.- DC_CTSmean: Mean number of observations (CTS = COUNTS) per pixel and glacier. This number is derived from the number of available satellite images for the respective time period, reduced by filtering pixels due to cloud and snow cover. The dataset has a global extent and covers all of the glaciers in the RGI v. 6.0, but it exhibits poor coverage in the RGI region Subantarctic and Antarctic, where the debris cover extents are based on very few observations. Dataset Antarc* Antarctic DataCite Metadata Store (German National Library of Science and Technology) Antarctic