Åpne datasett

Totalt antall datasett: 53

Sea Ice Drift 2km Deformation Mosaic

Anton Korosov

Sea ice drift and deformation from Sentinel-1 SAR

Lisens notspecified
Navn på prosjekter SIOS InfraNOR (project no. 269927)

Arctic ice concentration maps from SSMI data based on the NORSEX algorithm

Torill Hamre

NORSEX sea ice concentration derived from SSMI for Arctic ROOS.

Lisens notspecified
Navn på prosjekter NETMAR (Grant agreement no. 249024)

Sea Ice Type 2km Mosaic

Anton Korosov

Sea ice type from Sentinel-1 SAR

Lisens notspecified
Navn på prosjekter SIOS InfraNOR (project no. 269927)

Sea ice and water classification in the Arctic for CAATEX/INTAROS 2019 field experiment

Torill Hamre

Sea ice and water classification in the Arctic using Sentinel-1 SAR, Extended Wide (EW) swath images at medium resolution (GRDM). Prior to classification, a thermal noise reduction algorithm is applied. A machine learning algorithm is then used to classify sea ice and open water in the noise corrected images.

Lisens other-at
Navn på prosjekter NextGEOSS (Grant agreement no. 730329), INTAROS (Grant agreement no. 727890)

Average sea ice drift in the Arctic for INTAROS 2018 field experiment

Torill Hamre

Sea ice drift in the Arctic estimated using Sentinel-1 SAR, Extended Wide (EW) swath images at medium resolution (GRDM). The ice drift is based on a combination of feature tracking and pattern matching techniques.

Lisens other-at
Navn på prosjekter NextGEOSS (Grant agreement no. 730329), INTAROS (Grant agreement no. 727890)

Average sea ice drift in the Arctic for CAATEX 2019 field experiment

Torill Hamre

Sea ice drift in the Arctic estimated using Sentinel-1 SAR, Extended Wide (EW) swath images at medium resolution (GRDM). The ice drift is based on a combination of feature tracking and pattern matching techniques.

Lisens other-at
Navn på prosjekter NextGEOSS (Grant agreement no. 730329), INTAROS (Grant agreement no. 727890)

Sentinel-1 HH/HV based ice/water classification

Mohamed Babiker

Sea ice and water classification in the Arctic using Sentinel-1.

Lisens other-at
Navn på prosjekter NextGEOSS (Grant agreement no. 730329)

ACOBAR travel times - Fram Strait 2010-2012

Hanne Sagen(PI), Matthew Dzieciuch, Peter Worcester, Florian Geyer,

The ACOBAR ocean acoustic tomography system consisted of three moorings with low frequency, broadband transceivers (A, B, and C) forming a triangle in the central, deep-water part of Fram Strait during 2010–2012. This data set consists of acoustic travel times and corresponding arrival angles for the entire 2011–2012 deployment using estimator-correlator processing. The kernel of the estimator correlate is optimised manually for each Receiver. Receiver DA for transmissions from A we used kernel with a bandwidth of 7.5 Hz and a coherence time of 30 s. Receiver A for transmissions from B we used kernel with a bandwidth of 2.0 Hz and a coherence time of 15 s. Receiver DA for transmissions from B we used kernel with a bandwidth of 7.5 Hz and a coherence time of 30 s.The data processing is documented in Sagen et al. 2017. The data are used either to validate the capability of ocean models to provide realistic input to acoustic models or in inversion schemes to provide mean ocean sound speed between source and receivers. Please contact the PI for access to this dataset.

Lisens cc-by
Navn på prosjekter ACOBAR (EC contract 212887)

NorCPM Sea Ice Thickness reanalysis dataset 2002-2021

Francois Counillon

A reanalysis extending from 2002—2021 has been produced combining the ENVISAT-CCI sea-ice thickness data until 2010 and the C2SMOS data set that combines the CRYOSAT data set and the SMOS sea-ice thickness data that is available in INTAROS Data Catalog (https://catalog-intaros.nersc.no/dataset/thickness-of-thin-sea-ice-combined-data-product-from-smos-and-smap). The dataset will be made publicly available through the NIRD Research Data Archive (https://archive.norstore.no/) after research paper is published.

Lisens cc-by
Navn på prosjekter INTAROS