Icebergs in the Amundsen Sea (Antarctica) determined from ENVISAT ASAR WSM data using object-based image analysis approach, link to ESRI GDB files

ENVISAT ASAR WSM images with pixel size 150 × 150 m, acquired in different meteorological, oceanographic and sea ice conditions were used to determined icebergs in the Amundsen Sea (Antarctica). An object-based method for automatic iceberg detection from SAR data has been developed and applied. The object identification is based on spectral and spatial parameters on 5 scale levels, and was verified with manual classification in four polygon areas, chosen to represent varying environmental conditions. The algorithm works comparatively well in freezing temperatures and strong wind conditions, prevailing in the Amundsen Sea during the year. The detection rate was 96% which corresponds to 94% of the area (counting icebergs larger than 0.03 km**2), for all seasons. The presented algorithm tends to generate errors in the form of false alarms, mainly caused by the presence of ice floes, rather than misses. This affects the reliability since false alarms were manually corrected post analysis.

Index properties, calcium carbonate content and opal concentration of ODP Core 167-1016B-17H sediments

Physical properties measurements provide a relatively inexpensive and fast way to obtain high-resolution estimates of the variations in sedimentological properties. To better resolve the validity and cause of the geophysical signals measured by the Ocean Drilling Program (ODP) shipboard multisensor track (MST) instruments, 223 x 10 cm**3 core samples were collected at 4 cm intervals in Core 167-1016B-17H at the California Margin Conception Transect for the measurements of index properties, carbonate content, and opal content. This core was chosen because hole-to-hole stratigraphic correlation of MST data suggested that Core 17H corresponds to a depth interval that displays the greatest range of amplitude of many physical properties.