MagTool V3.2 Overview

 

Currently there are thirteen individual utilities within this Python Toolbox. They are categorized as follows: 

 

a.Project Management: Generates a project archive with workspace pathways utilized by downstream scripts. Uses pandas Data Frame functions to reformat raw single magnetometer and/or gradiometer files into an ASCII file schema streamlined for processing.     

b.QA/QC Tools: Examine raw data files for fliers, gaps, and noise prior to processing. Execute cleaning tasks (de-spiking, smoothing, interpolation) on navigation and altitude sensor channels. Iterate results into expanded ASCII file outputs. Uses Matplotlib to generate time-series graphs for data QA/QC. 

c.Magnetic Channel Processing Tools: Multiple methods for processing raw total field magnetic data to enhance detection of signals from ferromagnetic objects. Options include signal processing tools from SciPy/pandas (Residual Field) and geospatial filtering via NumPy arrays (Spatial Gradient) to compute new output fields. Both methods can be used simultaneously. Uses Matplotlib to generate time-series graphs for data QA/QC. Completion of this step results in 'final' processed data file in ASCII format. 

d.Visualization: Uses ArcPy to import processed data as raw points and compute sensor tracklines. User-defined parameters establish a coverage area used to clip rasters generated for raw and processed magnetic data fields. Offers multiple interpolation options for raster surface creation, contours results at user-defined intervals.   

e.Survey Coverage Assessment: Performs a series of geospatial analyses to determine theoretical levels of survey coverage based on raw data point geometry, sensor altitude, sensor noise, and user-defined magnetic moment values. Outputs include raster surfaces to visualize and statistically describe coverage levels per input parameters.