OFR07-06, Upgrade of Aeromagnetic Databases and Processing Systems at the Minnesota Geological Survey

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OFR07-06, Upgrade of Aeromagnetic Databases and Processing Systems at the Minnesota Geological Survey

Published Date

2007

Publisher

Minnesota Geological Survey

Type

Report

Abstract

During 2005-2007 a program to upgrade the aeromagnetic database for Minnesota was conducted by the Minnesota Geological Survey (MGS). Most of the Minnesota aeromagnetic data were acquired during a 1979-1991 state-wide survey program, and compilation and processing were limited to the computer capabilities of the time. Since that time significant improvements have been made in the development of computers and software that can efficiently handle massive database operations, such as line leveling and gridding. This project was consequently initiated to upgrade the MGS database using up-to-date software and hardware. Access to the data was also to be improved by making all upgraded data available via the web.

Description

The new program had three major objectives. One objective was to recover line data that turned up missing from the primary digital archive, which was a CD that was produced in 1992 (Hittleman and others) by the National Geophysical Data Center of the National Oceanic and Atmospheric Administration (NOAA). A Second objective was to mitigate line-leveling errors, which caused striping artifacts in some of the data. A third objective was to use the revised data to produce an improved aeromagnetic grid for the entire state. The previously existing state aeromagnetic grid used a spacing of 213.36 meters, and preliminary testing had indicated that a higher resolution grid was possible over many areas of the state.

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OFR;
Open File Reports;07-06

Funding information

A Final Report for Sponsored Project A78649 Minnesota Minerals Coordinating Committee

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Chandler, Val W. (2007). OFR07-06, Upgrade of Aeromagnetic Databases and Processing Systems at the Minnesota Geological Survey. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/199777.

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