Dataset: ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Calving Front Locations, v3.0#

Dataset identifier: esacci.ICESHEETS.unspecified.Unspecified.CFL.multi-sensor.multi-platform.UNSPECIFIED.v3-0.greenland
Data store: cciodp

How to open this dataset in AVL JupyterLab  

cciodp_store = new_data_store('cciodp')
ds = cciodp_store.open_data('esacci.ICESHEETS.unspecified.Unspecified.CFL.multi-sensor.multi-platform.UNSPECIFIED.v3-0.greenland')

Bounding box map#

Bounding box map
Map tiles and data from OpenStreetMap, under the ODbL.

Basic information#

Parameter Value
Bounding box longitude (°) -80.0 to -10.0
Bounding box latitude (°) 60.0 to 90.0
Time range 2014-10-01 to 2020-12-31

Click here for full dataset metadata.

Variable list#

Click on a variable name to jump to the variable’s full metadata.

Full dataset metadata#

Field Value
ecv ICESHEETS
institute ENVironmental Earth Observation IT GmbH
processing_level Unspecified
product_string UNSPECIFIED
product_version v3-0
data_type CFL
abstract The data set provides calving front locations of 28 major outlet glaciers of the Greenland Ice Sheet, produced as part of the ESA Greenland Ice Sheet Climate Change Initiative (CCI) project. The Calving Front Location (CFL) of outlet glaciers from ice sheets is a basic parameter for ice dynamic modelling, for computing the mass fluxes at the calving gate, and for mapping glacier area change. The calving front location has been derived by manual delineation using SAR (Synthetic Aperture Radar) data from the ERS-1/2, Envisat and Sentinel-1 satellites and satellite imagery from LANDSAT 5,7,8. The digitized calving fronts are stored in ESRI vector shape-file format and include metadata information on the sensor and processing steps in the corresponding attribute table. The product was generated by ENVEO (Environmental Earth Observation Information Technology GmbH)
title ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Calving Front Locations, v3.0
publication_date 2019-05-21T13:48:24
uuid 8889dfe3de45406e815bce13ae8a0c92
catalog_url https://catalogue.ceda.ac.uk/uuid/8889dfe3de45406e815bce13ae8a0c92
sensor_id multi-sensor
platform_id multi-platform
cci_project ICESHEETS