Khalid A. Soofi

GeoSAR P/X-band single pass IFSAR over arctic ice

The GeoSAR single-pass P-band and X-band IFSAR system was employed 09 April 2012 to acquire ice data over the city of Barrow, Alaska, extending into the Chukchi Sea to the west and the Beaufort Sea to the northeast. The acquisition covered two back-to-back flights obtaining high quality single-pass interferometric X-band and P-band data. Some of the P-band data was collected in fully polarimetric mode. Ground control was established by two geographically separated dual-band corner reflectors. Nadir looking lidar profiler data was acquired over the majority of the project. The acquisition was timed to be temporally coincident with airborne electromagnetic (AEM) ice thickness measurements. Sea ice in the region surveyed was primarily composed of first year ice around 1.8 m thick, though multiyear ice was also observed and ice thicknesses >20m were measured over pressure ridges. P-band imagery disclosed a rich network of ridges with high brightness compared with X-band. Owing to the much greater penetration at P-band than X-band the volumetric decorrelation differs significantly between X-band and P-band that could be potentially exploited to improve ice-type classification. P-band penetration was assessed by simplistic differencing of the X-band and P-band digital elevation models (DEMs) after thresholding based on height error. Preliminary observations indicate surface penetration has been observed; however further analysis is required to determine the relationship between X-band-P-band elevation differences and ice penetration. Acquiring data from a lower altitude with improved SNR and enhanced interferometric sensitivity will benefit measurements.

APPLIED USE OF HIGH RESOLUTION IMAGERY FOR HUMAN SAFETY AND ENVIRONMENT IN SOUTH SUMATRA, INDONESIA

ABSTRACT The availability of extremely high resolution images offers an unprecedented opportunity to use such images to monitor, maintain and ultimately preserve and rehabilitate the natural environment throughout the life cycle of oil and gas projects. The variety of images available range from optical images such as Landsat ETM1 imagery (14.25 meter/pixel), IKONOS2 imagery (1 meter/pixel) and QuickBird3 imagery (0.6 meter/pixel). These optical images have sufficient spatial and spectral resolution to detect different vegetation types (e.g. old growth vs. new plantations), cleared vegetation caused by logging or human habitat expansion, burned areas due to fire and vegetation stress caused by spills from oil pipelines or storage vessels. These images are also useful for identifying potential pollutant sources such as abandoned wells, old drilling pits or other remediation targets, as well as potential pollutant receptors. Areas which have perpetual cloud cover, such as South Sumatra, of Indonesia, can be...