Richard W. Saltus US Geological Survey 13 July 1995 CENTRAL ALASKA MERGED AND COMPOSITE AEROMAGNETIC DATA GRIDS These grids were used to produce the color maps in USGS Map GP-1014, at a scale of 1:500,000. The text for GP 1014 is appended to the end of this file - please read it for more information on the processing. GRIDS 1. AKmag_composite.asc = A compilation of individual aeromagnetic surveys without adjustment of survey level (1 row & column of "no data" separates individual surveys). 2. AKmag_merge.asc = A compilation of individual aeromagnetic surveys with adjustment of survey levels to a common specification (1,000 ft drape). Surveys were upward or downward continued to create a "seamless" map (see detailed discussion in the map text below). GRID SPECIFICATIONS GRID NAME: AKmag_merge Grid interval: 1 km Projection: Albers Conical Equal-Area Projection Central Meridian = -151. Base Latitude = 55. Standard Parallels = 55 and 65 X (east-west) origin = -429 km Y (north-south) origin = 669 km Number of columns = 850 Number of rows = 790 Grid layout: +---------------------------------+ | | | | | | |. | |. | |. | |9 | |8 rows (790) | |7 | |6 | |5 | |4 | |3 | |2 | |123456789... => columns (850) | +---------------------------------+ origin (-429, 669) Grid format: ASCII The grids are in ascii format, 1 numeric value per 20-character line. There are two lines of header information at the beginning of the grid. There are 790 rows and 850 columns, so the ascii grid file contains 790*850 + 2 = 671502 records. Any grid value greater than 1.0e30 indicates no data at that grid location. GRID NAME: AKmag_composite Grid interval: 1 km Projection: Albers Conical Equal-Area Projection Central Meridian = -151. Base Latitude = 55. Standard Parallels = 55 and 65 X (east-west) origin = -429 km Y (north-south) origin = 667 km Number of columns = 850 Number of rows = 792 Grid layout: +---------------------------------+ | | | | | | |. | |. | |. | |9 | |8 rows (792) | |7 | |6 | |5 | |4 | |3 | |2 | |123456789... => columns (850) | +---------------------------------+ origin (-429, 667) Grid format: ASCII The grids are in ascii format, 1 numeric value per 20-character line. There are two lines of header information at the beginning of the grid. There are 792 rows and 850 columns, so the ascii grid file contains 792*850 + 2 = 673202 records. Any grid value greater than 1.0e30 indicates no data at that grid location. ----------------------------------------------------- Text for US Geological Survey Map, GP-1014 ----------------------------------------------------- Meyer and Saltus, Merged Aeromagnetic Map of Interior Alaska 1 Merged Aeromagnetic Map of Interior Alaska By John F. Meyer, Jr., and R. W. Saltus Introduction As part of a cooperative effort between the State of Alaska and the U.S. Geological Survey (USGS), a set of total-intensity magnetic-anomaly maps for the interior of Alaska were prepared at a scale of 1:500,000. The purpose of this study was to compile and merge all of the publicly available magnetic data into a single compatible data set covering the major interior basins of Alaska. The data processing was performed by Paterson, Grant & Watson Limited of Toronto, Ontario, Canada, under contract to the State of Alaska, and the maps were produced jointly by the State of Alaska, Division of Oil and Gas, and the U.S. Geological Survey. These maps are presented here in four sheets using the Albers Conical Equal-Area projection. The digital data grids are available from the National Geophysical Data Center in Boulder, Colo. Data Compilation These maps of interior Alaska were compiled from 23 different surveys that were flown between 1954 and 1982 (figure 1). The surveys have varied flight specifications which are detailed in table 1. The raw digital data were obtained as ASCII files in one of four formats: (1) flight-line records, (2) digitized pseudo- flight-line records from published contour maps, (3) digitized contour lines from published contour maps, or (4) digital grid files. The locations were projected from their latitude-longitude coordinates to an Albers Conical Equal-Area projection (Snyder, 1983) defined as follows: Northern Standard Parallel 65Á N Southern Standard Parallel 55Á N Origin Latitude 55Á N Central Meridian 151Á W False Easting 0 m False Northing 0 m Spheroid Clarke 1866 Once the data were projected, the individual surveys were gridded using a bi-directional gridding algorithm (Patterson and others, 1994) with a cell size of approximately one-fifth the flight-line spacing. This initial cell size ranged from 2 km for the NURE (National Uranium Resource Evaluation) data to 200 m for the high resolution surveys. Bi-directional gridding can create unrealistic features for regions with wide line spacing. For this reason, the NURE data, which have a line spacing of six miles, were gridded using a minimum-curvature gridding algorithm (Briggs, 1974) to minimize this effect and preserve the anomalies. For the digitized data sets, a minimum-curvature gridding algorithm was also used to better reproduce the original maps. These initial data sets were then inspected for any obvious errors. To do this, a set of histograms of the data ranges and coordinates were created to isolate any spurious data points which were then corrected or removed. The data were then viewed interactively using shading techniques from different angles and elevations. This allows identification of digitizing errors, poorly leveled flight lines and flight-line noise. Most of these errors were removed using a 2-D Fast Fourier Transform flight-line decorrugation technique (Patterson, et.al., 1994). This technique employs a high-pass Butterworth filter in conjunction with a directional cosine filter to remove magnetic signals that have a direction and wavelength matched to the flight-line spacing and direction. Since this reduces the real as well as erroneous magnetic signals parallel to the line direction, the amount of decorrugation applied was kept to a minimum, resulting in improved data sets with some flight line noise. To do this, the Butterworth filter was set to four times the line spacing to only pass frequencies on the order of the flight-line spacing, and the directional cosine filter was set to pass wavelengths only in the direction of the flight-lines. Most of these surveys were previously processed to remove the International Geomagnetic Reference Field (IGRF), although specific information on what was removed was not available for all of the surveys. When possible, the original datum was recovered. When the information was available, both the total field and residual magnetic data were gridded and the difference between them was calculated. This field represented the regional datum that was removed as well as any error corrections that were originally applied to the data. To determine the regional field, a first-order approximation of this field was derived; this regional field was then added to the new grids. Finally, the definitive International Geomagnetic Reference Field (DGRF; Peddie, 1983) was calculated for the survey altitude and year of flight. It was removed from each grid to yield DGRF corrected grids. For data digitized from maps, the original regional corrections were used. Two distinct data compilations were produced from these data. The first grid, which we refer to as the composite grid, was produced by adjusting each of the surveys (by addition or subtraction of a constant) to a common datum level, otherwise preserving the original data. This grid retains the highest resolution for each survey and should be used for detailed modeling and local depth determinations. The second grid, which we refer to as the merged grid, was produced by adjusting the gridded data using upward and downward continuation to produce a grid at a constant height of 1,000 feet above ground. This grid is designed for regional analysis of the magnetic field. To produce the composite grid and combine these different surveys into one data set, they were all regridded to a 1 kilometer cell size using a bicubic splining algorithm and compared along their edges. Since the datum levels of the various surveys were not the same, datum shifts had to be applied. The largest and most coherent data set was the series of surveys comissioned by the State of Alaska (these surveys are indicated by `AKÍ as a prefix to the survey number in figure 1 and table 1), so these were used as the reference grid to which all the others were leveled. The differences along the survey boundaries were used to determine the datum shifts required for each survey grid and were added to the grids prior to combining them. Once the complete grid was in place, a subtraction of 4,960 nT was applied to all of the data so that the mean value of the area matched that for the NURE data. This allows the maps to match previously published maps more closely. The composite grid contains discrepancies at some survey boundaries that are caused by differences in data density, survey specifications, regional field datum, and data quality. To produce the merged grid, the low-level survey grids were upward continued to a constant height of 1,000 feet above the ground. This was done using standard 2-D FFT filtering techniques applied to surveys AK23, 5006 and the five NURE data sets (6016, 6023, 6035, 6036 and 6121; table 1). The two barometrically flown surveys (surveys 173 and 193) were flown at 4,000 feet and were downward continued to a drape of 1000 feet above ground using the Compudrape algorithm (Paterson and others, 1990). In this technique (Cordell, 1985) the magnetic grid is downward continued to ten parallel survey datums that bracket the topographic relief. The final draped grid was computed by interpolating the magnetic value at each grid cell to the 1,000 foot terrain clearance level as determined using a digital terrain model. The final merged grid was created by combining the adjusted data sets, then further adjusting the data sets to minimize offsets along the survey borders starting with a base grid of the AK surveys (AK08, AK11, AK12 and AK13). A coincident profile from each adjacent data set was extracted and the difference was calculated between the profiles. A correction surface was then generated which was added to the grid being joined to the merged grid using a weighted- averaging technique. Because this alters the data near the survey boundaries, the corrections were applied to the lowest resolution surveys, keeping the higher resolution data intact. The merged grids were then inspected for seamless joins along the survey boundaries using interactive shading programs, and some fine tuning of the correction grids was applied to yield a smooth fit. Once the final grid was completed, a single pass of a Hanning smoothing filter (Patterson and others, 1994) was used to eliminate the high-frequency errors along the boundary edges. The final result is a grid that is suitable for regional analysis but still contains variable data resolution because of the variable survey specifications. Map Production The merged grid was split into four subgrids and was interpolated to a 0.25 km grid using a minimum-curvature algorithm (Webring, 1981). These grids were converted to PostScript images using the color scale shown on the maps. Reds are residual magnetic highs, blues are lows. Computer-generated contour lines are superimposed on the color image. Rivers and town locations are from the USGS DLG 1:2,000,000-scale data set (USGS, 1992). The color image and line-work for the map were combined into a single encapsulated PostScript file for each map sheet. These files were imported into Adobe Illustrator and the map annotations were added. The files were then converted to the Scitex format which was used to create the color-separation negatives. The aeromagnetic data used to produce this set of maps, gridded at an interval of 1 km, are available from the National Geophysical Data Center, 325 Broadway, Boulder, Colorado 80303. Both the composite grid and the merged grid are available. Acknowledgments Esther Castellanos, USGS, digitized all of the analog aeromagnetic maps used in this compilation. Pat Hill, USGS, provided original data and reference material on the aeromagnetic surveys and assisted with data quality assurance. Stewart Racey, National Geophysical Data Center, provided original data for several of the aeromagnetic surveys. Louis Racic of Paterson, Grant & Watson Limited, directed the editing and merging of the data into the grids that were used to produce the maps. The final maps were produced using Adobe Illustrator. References Cited Aero Service Corporation, 1980a, National Uranium Resource Evaluation airborne gamma-ray spectrometer and magnetometer survey, Four Corners detail area, portions of Kantishna River, Mt. 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U.S. Geological Survey, 1973a, Aeromagnetic survey, Melozitna A-1 Quadrangle, northeast Alaska: U.S. Geological Survey Open-File Report 73-307, scale 1:63,360. _____1973b, Aeromagnetic survey, Tanana Quadrangle, northeast Alaska: U.S. Geological Survey Open-File Report 73-308, scale 1:250,000. _____1973c, Aeromagnetic survey, western half of Livengood Quadrangle, northeast Alaska: U.S. Geological Survey Open-File Report 73-311, scale 1:250,000. _____1974a, Aeromagnetic map of the Circle Quadrangle, northeastern Alaska: U.S. Geological Survey Open-File Report 74-1101, scale 1:250,000. _____1974b, Aeromagnetic map of the eastern half of the Livengood Quadrangle, northeastern Alaska: U.S. Geological Survey Open-File Report 74-1104, scale 1:250,000. _____1976, Aeromagnetic survey of the west one-half of the Ruby 1:250,000 Quadrangle, Alaska: U.S. Geological Survey Open-File Report 76-188, scale 1:250,000. _____1979a, Aeromagnetic map of the Medfra 1Á x 3Á Quadrangle, Alaska: U.S. Geological Survey Open-File Report 79-380, scale 1:250,000. _____1979b, Aeromagnetic map of part of the Valdez 1Á x 3Á Quadrangle, Alaska: U.S. Geological Survey Open-File Report 79-381, scale 1:250,000. ____1980, Aeromagnetic map of the Chugach area, Alaska: U.S. Geological Survey Open-File Report 80-058, scale 1:250,000. ____1984a, Aeromagnetic map of the western part of the Healy 1Á by 3Á Quadrangle, Alaska: U.S. Geological Survey Open-File Report 84-295, scale 1:250,000. ____1984b, Aeromagnetic map of part of the Anchorage 1Á by 2Á Quadrangle, Alaska: U.S. Geological Survey Open-File Report 84-352, scale 1:250,000. _____1985, Aeromagnetic map of part of the Wrangell Mountains, Alaska: U.S. Geological Survey Open-File Report 85-605, scale 1:250,000. _____1992, 1:2,000,000-Scale Digital Line Graph (DLG) Data: U.S. Geological Survey, Earth Science Information Center (CD-ROM). Webring, M., 1981, MINC: A gridding program based on minimum curvature: U. S. Geological Survey Open-File report 81-1224. Wescott, E.M., and Turner, D.L., 1985, Geothermal energy resource investigations in the eastern Copper River Basin, Alaska: University of Alaska, Geophysics Institute Report UAG R-302, 158 p., 8 pls., scale 1:63,360. Figure 1. Index map showing the boundaries of the individual surveys used in this report.