Use of Worldview-2 Along-Track Stereo Imagery to Probe a Baltic Sea Algal Spiral

Abstract

The general topic here is the application of very high-resolution satellite imagery to the study of ocean phenomena having horizontal spatial scales of the order of 1 kilometer, which is the realm of the ocean submesoscale. The focus of the present study is the use of WorldView-2 along-track stereo imagery to probe a submesoscale feature in the Baltic Sea that consists of an apparent inward spiraling of surface aggregations of algae. In this case, a single pair of images is analyzed using an optical-flow velocity algorithm. Because such image data generally have a much lower dynamic range than in land applications, the impact of residual instrument noise (e.g., data striping) is more severe and requires attention; we use a simple scheme to reduce the impact of such noise. The results show that the spiral feature has at its core a cyclonic vortex, about 1 km in radius and having a vertical vorticity of about three times the Coriolis frequency. Analysis also reveals that an individual algal aggregation corresponds to a velocity front having both horizontal shear and convergence, while wind-accelerated clumps of surface algae can introduce fine-scale signatures into the velocity field. Overall, the analysis supports the interpretation of algal spirals as evidence of a submesoscale eddy and of algal aggregations as indicating areas of surface convergence.

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Document Details

Document Type
Technical Report
Publication Date
Apr 10, 2019
Accession Number
AD1099079

Entities

People

  • G. O. Marmorino
  • Wei Chen

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Satellites
  • Baltic Sea
  • Cyanobacteria
  • Detection
  • Detectors
  • Dynamic Range
  • Flow
  • High Resolution
  • Image Processing
  • Image Registration
  • Materials
  • Oceans
  • Remote Sensing
  • Satellite Imaging
  • Stratified Fluids
  • Synthetic Aperture Radar

Readers

  • Atmospheric Science/Meteorology
  • Computer Vision.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers

Technology Areas

  • Space