Improved Global and Coastal Bathymetry

Abstract

Marine gravity and bathymetry are foundamental data, providing basic infrastructure for miltary , scientific, economic, educational,"" and political work. Naval operations require accurate gravity models for inertial navigation and fire control, and accurate bathyme""try to assess navigational hazards in denied and uncharted areas. In addition, coastal bathymetry is used for improving models of ti""des and currents. Over the next 3 years, two currently operating satellite altimeters CryoSat-- and Altika will provide wealth of ne""w marine gravity data. In addition, we continue to assemble perhaps the largest set of unclassifed depth soundings from a wide varie"ty of sources. Over the past two decades we have employed undergraduate studes to hand-edit these data so now we have 440 millon carefully edited soundings. We propose that these soundings can serve as a training data set to develop a machine-learning algorithm for assisting in the editing of new acquired data We propose to Improve global marine gravity maps by a factor of 2 id deep ocean areas and a factor of 4 on sahllow continental margins. Develop a machine-learning algorithm to edit outliner data from three new-acquired global sounding data sets. Use these improved gravity maps along with our global compilation of soundings to refine a 15-arcsecond bathymetry model (SRTM15_PLUS) Prepre the next generation of scientists for ocean research. We will coordinate our research effor"ts with the Defense Mapping Agency, the Naval Oceanographic Office and make these grids available to Navy labs, defense contractors" and the general public

Document Details

Document Type
DoD Grant Award
Publication Date
Sep 29, 2017
Source ID
N000141712866

Entities

People

  • David T. Sandwell

Organizations

  • Office of Naval Research
  • United States Navy
  • University of California, San Diego

Tags

Fields of Study

  • Environmental science

Readers

  • Coastal Oceanography
  • Economics
  • Oceanography.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks
  • Space