Processing and interpreting total field magnetic data, Kevin Rim, Montana Collected three adjacent grids Grid #1 used for organization- fill in details.

Slides:



Advertisements
Similar presentations
Travelers Rest State Park - processing demo A Native American gathering area for centuries Lewis and Clarks party camped here in 1805 and 1806 Recent archaeological.
Advertisements

Can we use total field magnetics to find buried pit houses beneath layers of volcanic ash? Visible pit houses at Bridge River, B.C. (Prentiss et al., 2009)
1-Point Perspective Drawings
電腦視覺 Computer and Robot Vision I
November 12, 2013Computer Vision Lecture 12: Texture 1Signature Another popular method of representing shape is called the signature. In order to compute.
Problem 1 The corrections can be larger than the anomaly Stat.Time T Dist. (m) Elev. (m) Reading (dial units) Base reading at time T Drift corr’d anom.
Imaging Furniture, Graves, and Stone Rings at Depth: Recent Magnetic and Radar Results from the Northern Rockies Steve Sheriff Professor of Geophysics,
Tom Wilson, Department of Geology and Geography Environmental and Exploration Geophysics I tom.h.wilson Department of Geology and.
Archaeological Geophysics – a quick look Magnetics, Radar, and Resistivity Steve Sheriff Professor of Geophysics University of.
Magnetic Methods (IV) Environmental and Exploration Geophysics I
Geol 319: Important Dates Monday, Oct 1 st – problem set #3 due (today, by end of the day) Wednesday, Oct 3 rd – last magnetics lecture Wednesday afternoon.
Advantages of Decorrugation of Aeromagnetic Data using the Naudy-Fuller Space Domain Filter Saad Mogren (King Saud University, Saudi Arabia) and Derek.
Edge Detection and Depth Estimates – Application to Pseudogravity and Reduced to Pole Results: Part I Edge detection on an oversampled synthetic anomaly.
Mapping Basement Structure in East-Central New York Pearson, deRidder and Johnson, Inc.
GG450 April 22, 2008 Seismic Processing.
Total field magnetic intensity, contour interval is 10 nanotesla. Tightly packed near circular contours illustrate effect of debris on or near the ground.
1Ellen L. Walker Edges Humans easily understand “line drawings” as pictures.
December 5, 2013Computer Vision Lecture 20: Hidden Markov Models/Depth 1 Stereo Vision Due to the limited resolution of images, increasing the baseline.
CSSE463: Image Recognition Day 6 Yesterday: Yesterday: Local, global, and point operators all operate on entire image, changing one pixel at a time!! Local,
6/9/2015Digital Image Processing1. 2 Example Histogram.
More Raster and Surface Analysis in Spatial Analyst
Separating regional and local magnetic signals What can you tell me about this magnetic map? Where is it? What kind of sources? Is there a range of depths?
Digital Image Processing
GRAVITY Analysis & Interpretation GG 450 Feb 5, 2008.
Nyack - Geophysical Characterization Problem - determine subsurface parameters, relevant to fluid flow and basin evolution, from non-invasive observations.
Lecture 14: More Raster and Surface Analysis in Spatial Analyst Using GIS-- Introduction to GIS By Weiqi Zhou, University of Vermont Thanks are due.
Anatomy of Anomalies Total Field Magnetics and Ground Penetrating Radar at a Potential Archaeological Site.
Werner deconvolution, like Euler deconvolution, is more properly thought of as an inverse method: we analyze the observed magnetic field and solve for.
Fundamentals of GIS Lecture Materials by Austin Troy except where noted © 2008 Lecture 14: More Raster and Surface Analysis in Spatial Analyst Using.
Neighborhood Operations
Spatial-based Enhancements Lecture 3 prepared by R. Lathrop 10/99 updated 10/03 ERDAS Field Guide 6th Ed. Ch 5: ;
Machine Vision ENT 273 Image Filters Hema C.R. Lecture 5.
Gravity I: Gravity anomalies. Earth gravitational field. Isostasy.
Spatial Filtering: Basics
CS 6825: Binary Image Processing – binary blob metrics
Practical issues (This lecture is based largely on: The shape of the gravity anomaly depends not on the absolute.
Tom Wilson, Department of Geology and Geography Environmental and Exploration Geophysics I tom.h.wilson Department of Geology and.
Environmental and Exploration Geophysics I tom.h.wilson Department of Geology and Geography West Virginia University Morgantown, WV.
The Wavelet Packets Equalization Technique: Applications on LASCO Images M.Mierla, R. Schwenn, G. Stenborg.
Tom Wilson, Department of Geology and Geography Environmental and Exploration Geophysics I tom.h.wilson Department of Geology and.
October 7, 2014Computer Vision Lecture 9: Edge Detection II 1 Laplacian Filters Idea: Smooth the image, Smooth the image, compute the second derivative.
Tom Wilson, Department of Geology and Geography Environmental and Exploration Geophysics I tom.h.wilson Department of Geology and.
Segmentation of Vehicles in Traffic Video Tun-Yu Chiang Wilson Lau.
Assignment: Use these raw TMI data from near Yellowstone Lakeraw TMI data clean them up separate sources make professional final images Write a report.
Tom Wilson, Department of Geology and Geography Environmental and Exploration Geophysics I tom.h.wilson Department of Geology and.
Regional Enhancement of the Mean Dynamic Topography using GOCE Gravity Gradients Matija Herceg 1 and Per Knudsen 1 1 DTU Space, National Space Institute,
CSSE463: Image Recognition Day 6 Yesterday: Local, global, and point operators use different context, but all Yesterday: Local, global, and point operators.
Measuring the Gravity and Magnetic Anomaly of a Rising Lava Plume Chris Jaeger December 3, 2015.
Tom Wilson, Department of Geology and Geography Environmental and Exploration Geophysics I tom.h.wilson Department of Geology and.
Edge Detection and Depth Estimates – Application to Pseudogravity and Reduced to Pole Results: Part I Edge detection on an oversampled synthetic anomaly.
Sharpening Spatial Filters ( high pass)  Previously we have looked at smoothing filters which remove fine detail  Sharpening spatial filters seek to.
Digital Image Processing Week V Thurdsak LEAUHATONG.
SPURS Synthesis Research Objectives: Budget calculations Resolve important terms of the freshwater and heat budgets of the upper 1000 m on temporal scales.
September 26, 2013Computer Vision Lecture 8: Edge Detection II 1Gradient In the one-dimensional case, a step edge corresponds to a local peak in the first.
Tom Wilson, Department of Geology and Geography Environmental and Exploration Geophysics I tom.h.wilson Department of Geology and.
Tom Wilson, Department of Geology and Geography Environmental and Exploration Geophysics I tom.h.wilson Department of Geology and.
Tom Wilson, Department of Geology and Geography Environmental and Exploration Geophysics I tom.h.wilson Department of Geology and.
Collected three adjacent grids
3D structure of the Thuringian Basin, Germany
Geol 319: Important Dates Friday, Sept 28th – class cancelled
COS FUV Flat Fields and Signal-to-Noise Characteristics
Final review sessions - II
Fourier Transform: Real-World Images
GG 450 February 19, 2008 Magnetic Anomalies.
Computer Vision Lecture 9: Edge Detection II
Deep Equivalent Layer Total Field Anomaly Shallow Equivalent Layer
Outline Derivatives and transforms of potential fields
CSSE463: Image Recognition Day 6
CSSE463: Image Recognition Day 6
Presentation transcript:

Processing and interpreting total field magnetic data, Kevin Rim, Montana Collected three adjacent grids Grid #1 used for organization- fill in details later Removing a least squares best-fit regional plane isolates local anomalies of interest and allows merging of our datasets. Raw data (left) contains Earth’s ambient magnetic field represented by the plane in the center image. Thus, we subtract that plane. The image on the right is the local field which includes corrugation correlated with acquisition as well as signals of interest.

Decorrugating removes noise associated with acquisition Residual magnetic fieldAcquisition noiseReady for interpretation Decorrugation uses a two step application of orthogonal frequency filters. It is subjective the interpreter decides when too much signal is being affected by the filtering.

Grid #1 Decorrugated Total Field Intensity in nanotesla Color contouring limited to +/- 9 nT otherwise hacksaw blade (NE corner) dominates the contour scheme.

Some things to think about – I hadn’t noticed the subtle circular character where the dashed circle is before. The arrows point to anomalies possibly associated with that circle. The interior one looks induced (could be metal) the exterior one might be a reasonable hearth target if there’s no surface sources.

There are many processing, interpretation, and visualization steps available to enhance total field magnetic data. The approach is to highlight anomalies with the character of archaeological targets but which do not have obvious surface sources. Common interpretational techniques include: Upward continuation: Recalculate the magnetic results as if they were collected over equivalent but more deeply buried sources. Analytic signal: calculate the square root of the sum of squares of the horizontal and vertical derivatives of the signal. This is a classic edge detection technique. Vertical gradient: European practitioners commonly measure the vertical gradient of the field rather than the total field. The vertical gradient is easily calculated from the total field.

Upward Continuation – smoothing the results and discriminating against surface sources (historic metal debris, horseshoes, etc.). Both images share same color scale. Original data Upward continued 0.25 meters note lower amplitudes and less high spatial frequency signal

Upward Continuation – smoothing the results and discriminating against surface sources (historic metal debris, horseshoes, etc.). Both images share same color scale. Original data Upward continued 0.5 meters note lower amplitudes and less high spatial frequency signal

Upward Continuation – smoothing the results and discriminating against surface sources (historic metal debris, horseshoes, etc.). Both images share same color scale. Original data Upward continued 1.0 meters note lower amplitudes and less high spatial frequency signal

We use these upward continued results for three main reasons: 1.A slight upward continuation of ½ the line spacing during acquisition further reduces noise from acquisition and surface debris 2.Differencing successive upward continuations allows qualitative depth estimations for anomalies without surface sources. 3.Compare various continuations with the signal from surface sources to assess the likelihood and reliability of targeting deeper similar sources.

Equivalent Sources: Differencing upward continuations yields qualitative depth estimates Magnetization from upper 0.25 meters Magnetization from 0.25 to 0.5 meters

Equivalent Sources: Differencing upward continuations yields qualitative depth estimates Magnetization from 0.5 to 1 meters Magnetization from 1 meter The sources at 1 meter and deeper appear more geological than archaeological

Calculating the analytic signal eases target identification and edge detection - it is the square root of the sum of squared horizontal and vertical first derivatives Total field anomalyanalytic signal

Example - stone ring observed at surface; a mix of variously magnetized glacial erratics Total field anomalyanalytic signal

How deep could the observed stone ring be buried and still detectable? Easily detectable from beneath 1 meter of flood deposits Surface feature As if 1 meter deep

Grid #1 – Analysis (from inspection of various results) 1.Hacksaw blade at surface 2.Observed stone ring 3.Buried stone ring? 4.Similar to a 3,100±40 B.P. hearth 0.8 meters deep in Yellowstone 5.Curious arcuate anomalies 6.Surface or subsurface debris? Total field anomaly

Grid #2, Total Magnetic Intensity: regional removed and decorrugated On analysis and inspection during filtering some features appear: 1.Circular features 2.Hearth? Can’t tell these from some boulders without excavation 3.Longer wavelength radial array similar to a Yellowstone feature with a ‘furniture rock’ in the center; could be geologic Each should be assessed relative to field observations

Grid #3, Total Magnetic Intensity: regional removed and decorrugated On analysis and inspection during filtering some features appear: 1.Circular features 2.A piece of metal at/near surface? 3.Hearth? Only excavation would tell but it is the most likely spot on this grid to investigate Each should be assessed relative to field observations

Guidance for Test Units From the Magnetometer’s Perspective Each anomaly has a source whether historic, geological, or archaeological