GEUS Dataverse
Not a member yet
699 research outputs found
Sort by
SICEv2.3.2 Svalbard snow and ice broadband albedo and surface optical properties from Sentinel-3’s OLCI at 1000 m resolution, 2017-2023
No full textTimespan
1 April, to 31 September for each year 2017 to 2023 and is being updated starting ~April each year
Description
For multiple Arctic glaciated regions (Table 1), 1km daily data (Table 2) from the SICE v1.6 algorithm, see Wehrlé et al (2021) and Kokhanovsky et al (2019) for details. Broadband albedo "albedo_bb_planar_sw" is after Kokhanovsky et al (2019). "BBA_combination" is albedo_bb_planar_sw for albedo_bb_planar_sw values above 0.565 and is combined with an ampirical albedo for albedo_bb_planar_sw below or equal to 0.565, see Wehrlé et al (2021). Data format is GeoTiff in the EPSG:3413 - WGS 84 / NSIDC Sea Ice Polar Stereographic North. We suggest using rasterio to read the data files. The data are also available from https://thredds.geus.dk/
Data Format
Data format is GeoTiff in the EPSG:3413 - WGS 84 / NSIDC Sea Ice Polar Stereographic North projection. We suggest using rasterio to read the data files.
Table 1, SICE regions, sorted by decreasing area
region
area, sq km
area, sq km
Greenland
1,744,666
82.7
Arctic Canada North
100,691
4.8
Alaska and Yukon
96,909
4.6
Arctic Canada South
40,970
1.9
Norway
34,018
1.6
Svalbard
32,506
1.5
Novaya Zemlya
21,506
1.0
Severnaya Zemlya
15,842
0.8
Frans Josef Land
12,131
0.6
Iceland
11,489
0.5
Table 2, SICE v1 data
name
description
BBA_combination
broadband albedo based on albedo_bb_planar_sw for albedo_bb_planar_sw above 0.565 and based on empirical algorithm for albedo_bb_planar_sw less than 0.565
SCDA_final
cloud mask
albedo_bb_planar_sw
diagnostic_retrieval
per pixel diagnostic info
num_scenes
number of scenes
r_TOA_01
TOA reflectance, band 1
r_TOA_06
TOA reflectance, band 6
r_TOA_17
TOA reflectance, band 17
r_TOA_21
TOA reflectance, band 21
snow_specific_surface_area
SSA
Reference Publications
Kokhanovsky A., Lamare M., Danne O., Brockmann C., Dumont M., Picard G., Arnaud L., Favier V., Jourdain B., Le Meur E., Di Mauro B., Aoki T., Niwano M., Rozanov V., Korkin S., Kipfstuhl S., Freitag J., Hoerhold M., Zuhr A., Vladimirova D., Faber A-K., Steen-Larsen HC., Wahl S., Andersen JK., Vandecrux B., van As D., Mankoff KD., Kern M., Zege E., Box JE. 2019. Retrieval of Snow Properties from the Sentinel-3 Ocean and Land Colour Instrument. Remote Sensing 11:2280. https://doi.org/10.3390/rs11192280
Wehrlé A., Box JE., Niwano M., Anesio AM., Fausto RS. 2021. Greenland bare-ice albedo from PROMICE automatic weather station measurements and Sentinel-3 satellite observations. GEUS Bulletin 47. https://doi.org/10.34194/geusb.v47.5284
Related Publications
Kokhanovsky A., Lamare M., Di Mauro B., Picard G., Arnaud L., Dumont M., Tuzet F., Brockmann C., Box JE. 2018. On the reflectance spectroscopy of snow. The Cryosphere 12:2371–2382. https://doi.org/10.5194/tc-12-2371-2018
Related Information
https://snow.geus.dk/
Questions?
contact Jason Box, [email protected]
Raster geodatabase ”GeoKomp” i geotiff format
No full textIndeholder feks. transmissivitet i kalken, Lertykkelser og dybder til magasin. Se excelark ”dkm2019_Udstilling_GIS_logfile_dataverse.xlsx” for fuldstændig liste af filer i denne folder
Nickel exploration data package
No full textFor description of data set see: Nickel data package.The data package comprises four parts:1: West Greenland - size: 36 GB
2: South-East Greenland - size 38 GB
3: East Greenland (GEUS Bull. 24) - size 7 MB 4: MRAP Nickel Workshop 2012 - size 1,7 GBImportant note:Maximum download size is 16 GB. The data package must threrefore be downloaded in parts. Keep original file structure intact in order to preserve ArcGIS functionality.</p
Dataset for "From land to sea: provenance, composition, and preservation of organic matter in a marine sediment record from the North-East Greenland shelf spanning the Younger Dryas-Holocene
No full textThis dataset contains pyrolisis data from 30 sediment core samples and reflectance measurements on 6 discrete samples, both from sediment core DA17-NG-st.14-171G
SICEv2.3.2 Northern Arctic Canada snow and ice broadband albedo and surface optical properties from Sentinel-3’s OLCI at 1000 m resolution, 2017-2023
No full text
SICE v2.3.2. Multi-regional 1 km Arctic land ice SSA, broadband albedo and spectral reflectance for 2017 to 2023
Timespan
1 April, to 31 September for each year 2017 to 2023 and is being updated starting ~April each year
Description
For multiple Arctic glaciated regions (Table 1), 1km daily data (Table 2) from the SICE v1.6 algorithm, see Wehrlé et al (2021) and Kokhanovsky et al (2019) for details. Broadband albedo "albedo_bb_planar_sw" is after Kokhanovsky et al (2019). "BBA_combination" is albedo_bb_planar_sw for albedo_bb_planar_sw values above 0.565 and is combined with an ampirical albedo for albedo_bb_planar_sw below or equal to 0.565, see Wehrlé et al (2021). Data format is GeoTiff in the EPSG:3413 - WGS 84 / NSIDC Sea Ice Polar Stereographic North. We suggest using rasterio to read the data files. The data are also available from https://thredds.geus.dk/
Data Format
Data format is GeoTiff in the EPSG:3413 - WGS 84 / NSIDC Sea Ice Polar Stereographic North projection. We suggest using rasterio to read the data files.
Table 1, SICE regions, sorted by decreasing area
region, area, sq km, percent of multi-regional area
Greenland, 1,744,666, 82.7
Arctic Canada North, 100,691, 4.8
Alaska and Yukon, 96,909, 4.6
Arctic Canada South, 40,970, 1.9
Norway, 34,018, 1.6
Svalbard, 32,506, 1.5
Novaya Zemlya, 21,506, 1.0
Severnaya Zemlya, 15,842, 0.8
Frans Josef Land, 12,131, 0.6
Iceland, 11,489, 0.5
Table 2, SICE v1 data
name, description
BBA_combination, broadband albedo based on albedo_bb_planar_sw for albedo_bb_planar_sw above 0.565 and based on empirical algorithm for albedo_bb_planar_sw less than 0.565
SCDA_final, cloud mask
albedo_bb_planar_sw,
diagnostic_retrieval, per pixel diagnostic info
num_scenes, number of scenes
r_TOA_01, TOA reflectance, band 1
r_TOA_06, TOA reflectance, band 6
r_TOA_17, TOA reflectance, band 17
r_TOA_21, TOA reflectance, band 21
snow_specific_surface_area, SSA
Reference Publications
Kokhanovsky A., Lamare M., Danne O., Brockmann C., Dumont M., Picard G., Arnaud L., Favier V., Jourdain B., Le Meur E., Di Mauro B., Aoki T., Niwano M., Rozanov V., Korkin S., Kipfstuhl S., Freitag J., Hoerhold M., Zuhr A., Vladimirova D., Faber A-K., Steen-Larsen HC., Wahl S., Andersen JK., Vandecrux B., van As D., Mankoff KD., Kern M., Zege E., Box JE. 2019. Retrieval of Snow Properties from the Sentinel-3 Ocean and Land Colour Instrument. Remote Sensing 11:2280. https://doi.org/10.3390/rs11192280
Kokhanovsky, A., Box, J., and Vandecrux, B.: Pre-operational Sentinel-3 snow and ice (SICE) products: Algorithm theoretical basis document, https://doi.org/10.20944/preprints202009.0529.v1, 23 September 2020.
Wehrlé A., Box JE., Niwano M., Anesio AM., Fausto RS. 2021. Greenland bare-ice albedo from PROMICE automatic weather station measurements and Sentinel-3 satellite observations. GEUS Bulletin 47. https://doi.org/10.34194/geusb.v47.5284
Code
Wehrlé, A., Mankoff, K., Vandecrux, B., and Box, J. E.: Sentinel-3 snow and ice optical properties retrieval (SICE) version 2.3.2, https://doi.org/10.5281/zenodo.10036416, 2023.
How to gather and read the data
see https://github.com/GEUS-SICE/SICE_gather and raise any issues there.
Related Publications
Kokhanovsky A., Lamare M., Di Mauro B., Picard G., Arnaud L., Dumont M., Tuzet F., Brockmann C., Box JE. 2018. On the reflectance spectroscopy of snow. The Cryosphere 12:2371–2382. https://doi.org/10.5194/tc-12-2371-2018
Acknowledgements
SICE has been supported by the following contracts to the European Space Agency (ESA):
Dec. 2016 – Jan. 2019 SEOM S34Sci Land Study 1: Snow, ESRIN Contract 4000118926/16/I-NB
Dec. 2018 – Jul. 2020 EO Science For Society, ESA/Contract 4000125043/18/I-NB – ESA/AO/1-9101/17/I-NB EO SCIENCE FOR SOCIETY, Pre-operational Sentinel-3 Snow and Ice Products (SICE)
Jan. 2019 – Dec. 2020 ESA PRODEX, An operational service of new Sentinel-3 algorithms for climate monitoring of the Greenland Cryosphere within the CryoClim network
May 2021 – June 2023 ESA PRODEX, Seamless Integration of Sentinel-3 Albedos in a Weather-modelling System (SISAWS)
Feb 2022 – Oct. 2023 ESA EO Science For Society, Snow and ICE optical and physical properties from Sentinel-3 (SICE), ESA CCN contract 4000125043/18/I-NB
and the ESA Network of Resources,
Related Information
description of variables, inputs and outputs https://github.com/GEUS-SICE/pySICE/tree/pySICEv2.1
https://snow.geus.dk/
Questions?
contact Jason Box, [email protected]
</html
Danmarks Digitale Jordartskort 1:25 000 version 7.0 - ArcMap/ArcGISPro/QGIS
No full textDet digitale jordartskort viser overfladegeologien i digital form. I denne version 7.0 fra 2023 er 93% af Danmarks landareal klassificeret, og kortet kompletteres løbende.
Kortet er et resultat af den systematiske geologiske kortlægning af Danmark. Informationerne er indsamlet ved feltarbejde, hvor jordprøver udtages ved hjælp af et hånsspyd i ca.1 meters dybde, det vil sige lige under pløjelag og jordbundsudviklingen. Afstanden mellem jordprøverne er 100-200 meter. Jordarterne er inddelt i 82 typer. Kort- og jordartsbeskrivelsen er udgivet i GEUS rapport 2023/29, hvor yderligere oplysninger kan findes.
Datapakken indeholder filer til brug i GIS systemerne ArcGIS v. 10.8.2, ArcGISPro version 3.2 og QGIS v. 3.28.4
Data from marine sediment core GeoTü SL 174 (Baffin Bay)
No full textData from marine sediment core (Gravity core) GeoTü SL 174 (68° 31.88' N 63° 19.82' W, MSM09/02-0467/3) retrieved aboard the RV Maria S. Merian research cruise MSM09/02 (Kucera et al., 2014) in 2008. GeoTü SL 174 is 777.5 cm in length and was retrieved from 1559 m water depth. Datasets include age-depth model, rock and paleomagnetic measurements and X-ray fluorescence (XRF) data
SICEv3.0 Norway snow and ice broadband albedo and surface optical properties from Sentinel-3’s OLCI at 500 m resolution, Near Real Time (NRT)
No full text
SICE v3.0. 0.5 km Arctic land ice SSA, broadband albedo and spectral reflectance for 2017 to 2023
Timespan
1 April, to 31 September for each year 2017 to 2023 and is being updated starting ~April each year
Description
For Greenland, 0.5km daily data (Table 1) from the pySICE v2.1 algorithm, see Bahbah et al (2023) and Kokhanovsky et al (2023) for details. Broadband albedo "albedo_bb_planar_sw" is after Kokhanovsky et al (2019). "BBA_combination" is albedo_bb_planar_sw for albedo_bb_planar_sw values above 0.565 and is combined with an ampirical albedo for albedo_bb_planar_sw below or equal to 0.565, see Wehrlé et al (2021). Data format is GeoTiff in the EPSG:3413 - WGS 84 / NSIDC Sea Ice Polar Stereographic North. We suggest using rasterio to read the data files. The data are also available from https://thredds.geus.dk/
Data Format
Data format is GeoTiff in the EPSG:3413 - WGS 84 / NSIDC Sea Ice Polar Stereographic North projection.
Table 1, SICE v3.0 data, alphabetical
name, description
ANG, Angström parameter for atmospheric aerosol correction
AOD_550, aerosol optical depth at 550 nm from CAMS, m units
al, effective absorption length, mm units
albedo_bb_spherical_sw, albedo under isotropic radiation
albedo_bb_planar_sw, broadband albedo
albedo_spectral_planar_NN, multispectral albedo_spectral_planar, where NN is a number for bands 01-21
diagnostic_retrieval, per pixel diagnostic info
cloud_mask,SCDA cloud mask
cloud_mask, SCDA cloud mask
cv1, quality check 1 (see ATBD)
cv2, quality check 2 (see ATBD)
factor
grain_diameter, effective optical snow grain diameter
isnow, See Table 2
lat, decimal latitude
lon, decimal longitude
O3_SICE, OLCI total ozone retrieval corrected for ozone scattering after Kokhanovsky et al 2020
r0, reflectance of a semi-infinite non-absorbing snow layer
r_TOA_NN, multispectral TOA reflectance, where NN is a number for bands 01-21
r_BRR_NN, multispectral botttom of atmosphere reflectance, where NN is a number for bands 01-21
snow_specific_surface_area, SSA
saa, solar azimuth angle
sza, solar zenith angle
vaa, viewing azimuth angle
vza, viewing zenith angle
Table 2, Diagnostic codes
Diagnostic Code, Description
0, clean snow
1, polluted snow
6, polluted snow for which r0 was calculated and not derived from observations
7, polluted snow of calculated spherical albedo in bands 1 and 2 greater than 0.98 reprocessed as clean snow
100, sza exceeding 75, no retrival albedo
102, TOA reflectance at band 21 less than 0.1, no retrieval
104, grain_diameter less than 0.1, no retrieval, potential cloud flag
-N, impossible to solve polluted snow albedo equation at band N
See also related information below
Reference Publications
Kokhanovsky, A., Vandecrux, B., Wehrlé, A., Danne, O., Brockmann, C., and Box, J. E.: An improved retrieval of snow and Ice properties using spaceborne OLCI/S-3 spectral reflectance measurements: Updated atmospheric correction and snow impurity load estimation, Remote Sens. (Basel), 15, 77, https://doi.org/10.3390/rs15010077, 2022
Kokhanovsky A.A., Lamare, M. and Rozanov, V. (2020) Retrieval of the total ozone over Antarctica using Sentinel-3 ocean and land colour instrument. Journal of Quantitative Spectroscopy and Radiative Transfer 251, 107045 https://doi.org/10.1016/j.jqsrt.2020.107045
Code
Bahbah, R., Wehrlé, A., Mankoff, K., Vandecrux, B., and Box, J. E.: Sentinel-3 snow and ice optical properties retrieval (SICE) version 3.0, https://doi.org/10.5281/zenodo.10058790, 2023.
How to gather and read the data
see https://github.com/GEUS-SICE/SICE_gather and raise any issues there.
Acknowledgements
SICE has been supported by the following contracts to the European Space Agency (ESA):
Dec. 2016 – Jan. 2019 SEOM S34Sci Land Study 1: Snow, ESRIN Contract 4000118926/16/I-NB
Dec. 2018 – Jul. 2020 EO Science For Society, ESA/Contract 4000125043/18/I-NB – ESA/AO/1-9101/17/I-NB EO SCIENCE FOR SOCIETY, Pre-operational Sentinel-3 Snow and Ice Products (SICE)
Jan. 2019 – Dec. 2020 ESA PRODEX, An operational service of new Sentinel-3 algorithms for climate monitoring of the Greenland Cryosphere within the CryoClim network
May 2021 – June 2023 ESA PRODEX, Seamless Integration of Sentinel-3 Albedos in a Weather-modelling System (SISAWS)
Feb 2022 – Oct. 2023 ESA EO Science For Society, Snow and ICE optical and physical properties from Sentinel-3 (SICE), ESA CCN contract 4000125043/18/I-NB
and the ESA Network of Resources,
Related Information
description of variables, inputs and outputs https://github.com/GEUS-SICE/pySICE/tree/pySICEv2.1
https://snow.geus.dk/
Questions?
contact Jason Box, [email protected]
</html
Raster geodatabase ”HydroKomp” i geotiff format
No full textIndeholder feks. Nettonedbør, grundvandsdannelse til magasinlag, trykniveauer, vandhastighed, dybde til grundvandsspejl, udsivning fra grundvand til vandløb. Se excelark ” dkm2019_Udstilling_GIS_logfile_dataverse.xlsx” for fuldstændig liste af filer i denne folder
SICEv2.3.2 Beaufort snow and ice broadband albedo and surface optical properties from Sentinel-3’s OLCI at 1000 m resolution, 2017-2023
No full textSICE v2.3.2. Multi-regional 1 km Arctic land ice SSA, broadband albedo and spectral reflectance for 2017 to 2023
Timespan
1 April, to 31 September for each year 2017 to 2023 and is being updated starting ~April each year
Description
For multiple Arctic glaciated regions (Table 1), 1km daily data (Table 2) from the SICE v1.6 algorithm, see Wehrlé et al (2021) and Kokhanovsky et al (2019) for details. Broadband albedo "albedo_bb_planar_sw" is after Kokhanovsky et al (2019). "BBA_combination" is albedo_bb_planar_sw for albedo_bb_planar_sw values above 0.565 and is combined with an ampirical albedo for albedo_bb_planar_sw below or equal to 0.565, see Wehrlé et al (2021). Data format is GeoTiff in the EPSG:3413 - WGS 84 / NSIDC Sea Ice Polar Stereographic North. We suggest using rasterio to read the data files. The data are also available from https://thredds.geus.dk/
Data Format
Data format is GeoTiff in the EPSG:3413 - WGS 84 / NSIDC Sea Ice Polar Stereographic North projection. We suggest using rasterio to read the data files.
Table 1, SICE regions, sorted by decreasing area
region, area, sq km, percent of multi-regional area
Greenland, 1,744,666, 82.7
Arctic Canada North, 100,691, 4.8
Alaska and Yukon, 96,909, 4.6
Arctic Canada South, 40,970, 1.9
Norway, 34,018, 1.6
Svalbard, 32,506, 1.5
Novaya Zemlya, 21,506, 1.0
Severnaya Zemlya, 15,842, 0.8
Frans Josef Land, 12,131, 0.6
Iceland, 11,489, 0.5
Table 2, SICE v2.3.2 Beaufort data
name, description
BBA_emp, broadband albedo based on albedo_bb_planar_sw for albedo_bb_planar_sw above 0.565 and based on empirical algorithm for albedo_bb_planar_sw less than 0.565
SCDA_final, cloud mask
albedo_bb_planar_sw,
albedo_spectral_planar_NN, multispectral albedo_spectral_planar, where
NN is a number for bands 01-21
albedo_spectral_spherical_NN, multispectral albedo_spectral_spherical,
where
NN is a number for bands 01-21
grain_diameter, effective optical snow grain diameter
diagnostic_retrieval, per pixel diagnostic info
num_scenes, number of scenes
li>r_TOA_NN, multispectral TOA reflectance, where NN is a number for bands 01-21
r_BRR_NN, multispectral botttom of atmosphere reflectance, where NN is a number for bands 01-21
snow_specific_surface_area, SSA
SAA, solar azimuth angle
SZA, solar zenith angle
OAA, observing azimuth angle
OZA observing zenith angle
O3, OLCI total ozone retrieval corrected for ozone scattering after Kokhanovsky et al 2020
Reference Publications
Kokhanovsky A., Lamare M., Danne O., Brockmann C., Dumont M., Picard G., Arnaud L., Favier V., Jourdain B., Le Meur E., Di Mauro B., Aoki T., Niwano M., Rozanov V., Korkin S., Kipfstuhl S., Freitag J., Hoerhold M., Zuhr A., Vladimirova D., Faber A-K., Steen-Larsen HC., Wahl S., Andersen JK., Vandecrux B., van As D., Mankoff KD., Kern M., Zege E., Box JE. 2019. Retrieval of Snow Properties from the Sentinel-3 Ocean and Land Colour Instrument. Remote Sensing 11:2280. https://doi.org/10.3390/rs11192280
Kokhanovsky, A., Box, J., and Vandecrux, B.: Pre-operational Sentinel-3 snow and ice (SICE) products: Algorithm theoretical basis document, https://doi.org/10.20944/preprints202009.0529.v1, 23 September 2020.
Wehrlé A., Box JE., Niwano M., Anesio AM., Fausto RS. 2021. Greenland bare-ice albedo from PROMICE automatic weather station measurements and Sentinel-3 satellite observations. GEUS Bulletin 47. https://doi.org/10.34194/geusb.v47.5284
Code
Wehrlé, A., Mankoff, K., Vandecrux, B., and Box, J. E.: Sentinel-3 snow and ice optical properties retrieval (SICE) version 2.3.2, https://doi.org/10.5281/zenodo.10036416, 2023.
How to gather and read the data
see https://github.com/GEUS-SICE/SICE_gather and raise any issues there.
Related Publications
Kokhanovsky A., Lamare M., Di Mauro B., Picard G., Arnaud L., Dumont M., Tuzet F., Brockmann C., Box JE. 2018. On the reflectance spectroscopy of snow. The Cryosphere 12:2371–2382. https://doi.org/10.5194/tc-12-2371-2018
Acknowledgements
SICE has been supported by the following contracts to the European Space Agency (ESA):
Dec. 2016 – Jan. 2019 SEOM S34Sci Land Study 1: Snow, ESRIN Contract 4000118926/16/I-NB
Dec. 2018 – Jul. 2020 EO Science For Society, ESA/Contract 4000125043/18/I-NB – ESA/AO/1-9101/17/I-NB EO SCIENCE FOR SOCIETY, Pre-operational Sentinel-3 Snow and Ice Products (SICE)
Jan. 2019 – Dec. 2020 ESA PRODEX, An operational service of new Sentinel-3 algorithms for climate monitoring of the Greenland Cryosphere within the CryoClim network
May 2021 – June 2023 ESA PRODEX, Seamless Integration of Sentinel-3 Albedos in a Weather-modelling System (SISAWS)
Feb 2022 – Oct. 2023 ESA EO Science For Society, Snow and ICE optical and physical properties from Sentinel-3 (SICE), ESA CCN contract 4000125043/18/I-NB
and the ESA Network of Resources,
Related Information
description of variables, inputs and outputs https://github.com/GEUS-SICE/pySICE/tree/pySICEv2.1
https://snow.geus.dk/
Questions?
contact Jason Box, [email protected]