20140416 16011600 1.0 FALSE MAGNETICS_WDMAM_RTP 002 467775.000000 3369195.000000 3529575.000000 7240185.000000 1 Projected GCS_NZGD_2000 Linear Unit: Meter (1.000000) NZGD_2000_New_Zealand_Transverse_Mercator <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.3'><WKT>PROJCS[&quot;NZGD_2000_New_Zealand_Transverse_Mercator&quot;,GEOGCS[&quot;GCS_NZGD_2000&quot;,DATUM[&quot;D_NZGD_2000&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;False_Easting&quot;,1600000.0],PARAMETER[&quot;False_Northing&quot;,10000000.0],PARAMETER[&quot;Central_Meridian&quot;,173.0],PARAMETER[&quot;Scale_Factor&quot;,0.9996],PARAMETER[&quot;Latitude_Of_Origin&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,2193]]</WKT><XOrigin>-4020900</XOrigin><YOrigin>1900</YOrigin><XYScale>450445547.3910538</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.00020000000000000001</ZTolerance><MTolerance>0.00020000000000000001</MTolerance><HighPrecision>true</HighPrecision><WKID>2193</WKID><LatestWKID>2193</LatestWKID></ProjectedCoordinateSystem> 20160721 16462600 20160721 16462600 150000000 5000 ItemDescription Esri ArcGIS 10.3.1.4959 MAGNETICS_WDMAM_RTP 1 -180.000000 180.000000 -23.958642 -58.374674 The magnetic grid was generated by FROGTECH from the World Digital Magnetic Anomaly Map (WDMAM) or EMAG3 (2007). Data sourced from the FROGTECH_NZ_ECS_SEEBASE... Data sourced from the FROGTECH_NZ_ECS_SEEBASE product in the 2013 NZP&M Block Offer Data Pack. The magnetic grid was generated by FROGTECH from the World Digital Magnetic Anomaly Map (WDMAM) or EMAG3 (2007), a global 3-arc-minute resolution grid of the anomaly of the magnetic intensity at an altitude of 5 km above mean sea level. It was compiled from satellite, marine, aeromagnetic and ground magnetic surveys. Information on this dataset can be found in http://www.geomag.us/models/wdmam.html The TMI magnetic data was Reduced to the Pole (RTP). RTP Processing FROGTECH's methodology for RTP processing is determined by the size of the project area. For small surveys, the RTP transformation is simple requiring only one set of geomagnetic parameters. However, for larger surveys, such as the New Zealand SEEBASETM Project, the area is broken down into smaller sub-areas on which the RTP transformation is computed. To obtain Reduction to the Pole (RTP), a transformation from TMI to the magnetic field at the North or South Pole is required. The transformation is computed based on a local geomagnetic inclination and declination. The result of the reduction to the pole (RTP) operation is a field which would be observed if the given field had been observed with vertical polarization, that is, as though observed at one of the Earth’s magnetic poles (refer to the figure on the right). If strong remanent magnetization is present in directions other than that of the Earth, the transformed field will be in error. TMI data is routinely reduced to the pole to shift anomalies directly over their source and for vertical dipping sources to produce symmetric anomalies. The location of sources, particularly source edges, can more readily be determined when the magnetic data has been reduced to the pole. FROGTECH gns. magnetic. anomaly. map. frogtech. File Geodatabase Raster Dataset dataset EPSG 8.6.2 Pixel 1527 1194 2430.000000 2430.000000 32 1 Upper Left FALSE LZ77 1 pixel codes FGDBR TRUE row and column 2430.000000 2430.000000 20160721 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