Benjamin Holt

TL;DR: In this paper, a multispectral expert system used a neural network approach to provide Rapid Response thickness class maps using a spectral library approach based on the shape and depth of near infrared spectral absorption features.

TL;DR: Fifty-one SEASAT synthetic aperture radar (SAR) images of the oceans and sea ice are presented in this paper, showing the area covered, and tables of key orbital information, and listing digitally processed images.

TL;DR: The results show that synthetic aperture radar can be used to measure the oil volumetric concentration in a thick slick, and the most reliable indicator is the major eigenvalue of the coherency matrix, which is approximately equal to the total backscatter power for both oil in the slick and clean sea water.

TL;DR: In this article, the authors describe the characteristics of extensive small-scale coastal ocean eddies in the Southern California Bight using very high-resolution radiometer satellite imagery, as well as in situ data from moorings and drifters.

TL;DR: In this paper, an approach for identification of sea ice types in spaceborne synthetic aperture radar (SAR) image data is presented, which involves cluster analysis for segmentation of the image data followed by cluster labeling based on previously defined look-up tables containing the expected backscatter signatures of different ice types measured by land-based scatterometer.