WP4 - Satellite remote sensing of sea ice

Full name: 

WP4 - Satellite remote sensing of sea ice - ODL

Fabrice Collard, ODL

The project will develop satellite observation methods for waves in ice and other ice properties in the MIZ such as ice concentration, ice types, ice thickness, ice drift and ice edge configuration. Existing and new satellite observing systems, especially SAR, optical and altimeter data, will be utilized for retrieval of waves and ice properties in the MIZ. The project will be exploited operationally using data from future GMES satellites such as Sentinel-1.

SAR in MIZ ENVISAT

Figure. The marginal ice zone as seen in Synthetic Aperture Radar (SAR) from the ENVISAT satellite (left) and from a ship (right, GFD License 1.2). Many types of sea ice coexist in the MIZ, from frazil crystals agglomerated in small thin cakes to floes formed of consolidated ice.

 


 

D4.3 Innovative wave product in the MIZ

Based on Wave retrieval methodology in the MIZ using SAR described in D4.1 attenuation of swell in the MIZ can been estimated from a reference Sentinel1 SAR dataset in the winter 2014-2015.

We provide here a user guide to Python based software used for semi-automatic SAR wave analysis and the Netcdf wave amplitude attenuation resulting product.

D4.2 Wave attenuation versus ice type and thickness

Based on Wave retrieval methodology in the MIZ using SAR described in D4.1 attenuation of swell in the MIZ can been estimated from a reference Sentinel1 SAR dataset in the winter 2014-2015.

Using these Sentinel1 SAR IW mode acquisitions in the arctic our goal was to estimate wave attenuation rate and attempt to link it to sea ice concentration, type and thickness.

D4.1 Report on wave and ice type retrieval methodology in the MIZ

Wave retrieval methodology in the MIZ using SAR has been investigated mostly based on the  very  good  quality  Sentinel1  wave  mode  observations  in  the  South  Pacific  acquired  during  summer  and  fall  2014,  leading  to  a  new  retrieval  methodology  based  on  the analysis  of  linear  feature  distortion  by  the  velocity  bunching  imaging  mechanism.

Subscribe to RSS - WP4 - Satellite remote sensing of sea ice