Abstract
Sea ice motion and deformation have generally been measured using low-resolution passive microwave or mid-resolution radar remote sensing datasets of daily (or few days) intervals to monitor long-term trends over a wide polar area. This feasibility study presents an application of high-resolution optical images from operational satellites, which have become more available in polar regions, for sea ice motion and deformation measurements. The sea ice motion, i.e., Lagrangian vector, is measured by using a maximum cross-correlation (MCC) technique and multi-temporal high-resolution images acquired on 14–15 August 2014 from multiple spaceborne sensors on board Korea Multi-Purpose Satellites (KOMPSATs) with short acquisition time intervals. The sea ice motion extracted from the six image pairs of the spatial resolutions were resampled to 4 m and 15 m yields with vector length measurements of 57.7 m root mean square error (RMSE) and −11.4 m bias and 60.7 m RMSE and −13.5 m bias, respectively, compared with buoy location records. The errors from both resolutions indicate more accurate measurements than from conventional sea ice motion datasets from passive microwave and radar data in ice and water mixed surface conditions. In the results of sea ice deformation caused by interaction of individual ice floes, while free drift patterns of ice floes were delineated from the 4 m spatial resolution images, the deformation was less revealing in the 15 m spatial resolution image pairs due to emphasized discretization uncertainty from coarser pixel sizes. The results demonstrate that using multi-temporal high-resolution optical satellite images enabled precise image block matching in the melting season, thus this approach could be used for expanding sea ice motion and deformation dataset, with an advantage of frequent image acquisition capability in multiple areas by means of many operational satellites.
Highlights
Sea ice motion and deformation measured from satellite remote sensing have played a significant role in understanding the dynamic polar climate system and to predict its ongoing and further long-term changes
This study aimed to evaluate the feasibility of multi-sensor high-resolution optical satellite remote sensing for precise sea ice motion measuring using an maximum cross-correlation (MCC) approach
The feasibility of the sea ice motion measurement using the MCC technique and multi-temporal high-resolution optical satellite images from multi-sensors was tested
Summary
Sea ice motion and deformation measured from satellite remote sensing have played a significant role in understanding the dynamic polar climate system and to predict its ongoing and further long-term changes. Synthetic Aperture Radar (ASAR) on Envisat, with a spatial resolution of 150 m [11], Envisat ASAR with a spatial resolution of 75 m [12], and RADARSAT-2 ScanSAR of a spatial resolution of 100 m resampled from 50 m [13]). These mid-resolution SAR successfully provided the products from polynya [14] or basin-scale to the entire arctic coverage by systematic data acquisition plan. The drawback of the MCC approach is quantization noise, a degree of discreteness of the motion vector field, related to image pixel size [4,10]
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