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Geophysical Survey in Archaeological Field Evaluation - HELM

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the subject of methodological research, or they<br />

are used to assist <strong>in</strong>terpretation at an <strong>in</strong>tra-site<br />

scale of <strong>in</strong>vestigation. A review of geochemical<br />

methods is provided by Heron (2001); see<br />

also English Heritage (2007).<br />

1.10 Remote sens<strong>in</strong>g<br />

Remote sens<strong>in</strong>g is def<strong>in</strong>ed as the imag<strong>in</strong>g of<br />

phenomena from a distance (Shennan and<br />

Donoghue 1992) and is here considered to<br />

be dist<strong>in</strong>ct from the ground-based remote<br />

sens<strong>in</strong>g methods so far discussed.<br />

1.10.1 Aerial photography<br />

Aerial photography (AP) is the most familiar<br />

remote sens<strong>in</strong>g technique (Bewley 1993;<br />

Bewley and Raczklowski 2002; Palmer and Cox<br />

1993; Wilson 2000) and the aerial photographic<br />

record should always be consulted as part<br />

of site evaluation. This record is often highly<br />

complementary to that obta<strong>in</strong>ed by geophysical<br />

methods. In many circumstances the AP record<br />

will dictate where ground-based methods may<br />

be deployed and the latter will often provide<br />

exact ground location as well as additional<br />

def<strong>in</strong>ition and detail. <strong>Geophysical</strong> methods may<br />

be able to respond positively where the AP<br />

record is negative, or where surface conditions<br />

are unsuitable for photography.<br />

1.10.2 Multi-spectral scann<strong>in</strong>g<br />

Despite the <strong>in</strong>creas<strong>in</strong>g availability of higherresolution<br />

data achieved by airborne multispectral<br />

scann<strong>in</strong>g (MSS) – from sensors mounted<br />

on satellites and on aircraft – this has still not<br />

made much impact <strong>in</strong> the day-to-day evaluation<br />

<strong>in</strong> the UK of sites for their archaeological<br />

content. A review of the subject has been<br />

provided by Donoghue (2001), and examples of<br />

case studies <strong>in</strong>clude Fowler (2002), Powlesland<br />

et al (1997), Shennan and Donoghue (1992),<br />

and W<strong>in</strong>terbottom and Dawson (2005).<br />

1.10.3 Remote surface mapp<strong>in</strong>g<br />

Modern remote imag<strong>in</strong>g systems are now able<br />

to capture <strong>in</strong>creas<strong>in</strong>gly detailed and accurate<br />

topographic <strong>in</strong>formation at a variety of scales<br />

relevant to archaeological prospection. While<br />

digital aerial photogrammetry has seen some<br />

application (Stone et al 2004), attention is<br />

currently focused on the considerable potential<br />

offered by lidar (light direction and rang<strong>in</strong>g),<br />

and <strong>in</strong>terferometric synthetic aperture<br />

radar (IFSAR).<br />

Of these, lidar currently offers the higher level<br />

of vertical and horizontal resolution (Crutchley<br />

2006; Holden et al 2002), and the result<strong>in</strong>g<br />

digital surface models (DSMs) can be<br />

manipulated to enhance the recognition of<br />

very slight but significant surface topography<br />

(Bewley et al 2005). A significant advantage<br />

over aerial photography is the potential ability<br />

to digitally remove tree cover to create digital<br />

terra<strong>in</strong> models (DTMs) of underly<strong>in</strong>g earthwork<br />

features (Devereux et al 2005). The value to<br />

archaeological evaluation of IFSAR is presently<br />

less clear, although elevation data for all of<br />

Brita<strong>in</strong> is available at http://www.<strong>in</strong>termap.com/<br />

corporate/greatBrit.cfm.<br />

2 Analysis of geophysical data<br />

2.1 Data process<strong>in</strong>g<br />

Once geophysical data has been collected it<br />

is necessary to process it for <strong>in</strong>terpretation<br />

and presentation. The advent of powerful and<br />

affordable personal comput<strong>in</strong>g equipment has<br />

revolutionised this aspect of archaeological<br />

geophysics over the last fifteen years and several<br />

specialised software packages are now available<br />

Table 12 Some of the more commonly used process<strong>in</strong>g software packages available for archaeological geophysics.<br />

Manufacturer Software WWW URL Comments<br />

(Tables 12 and 13). Detailed discussion of<br />

the reasons for and application of numerical<br />

process<strong>in</strong>g algorithms can be found <strong>in</strong> a number<br />

of textbooks and software manuals (Gaffney<br />

and Gater 2003; Scollar et al 1990; Walker<br />

2005). Two guid<strong>in</strong>g pr<strong>in</strong>ciples that underlie<br />

such discussions bear restatement. Numerical<br />

process<strong>in</strong>g can never be a substitute for poor<br />

raw data and the surveyor’s aim should always<br />

be to collect the highest quality measurements<br />

<strong>in</strong> the field. Furthermore, every numerical<br />

modification of the orig<strong>in</strong>al field data should<br />

be carried out for a clear purpose and no<br />

process<strong>in</strong>g algorithm should be used bl<strong>in</strong>d<br />

without a full understand<strong>in</strong>g of its implications.<br />

The majority of numerical process<strong>in</strong>g algorithms<br />

encountered <strong>in</strong> archaeological geophysical<br />

surveys fall <strong>in</strong>to one of three categories:<br />

(1) those designed to mitigate for artefacts<br />

<strong>in</strong>troduced <strong>in</strong>to the data by the<br />

prospect<strong>in</strong>g <strong>in</strong>strumentation and/or<br />

strategy;<br />

(2) those that employ generic digital image<br />

process<strong>in</strong>g methods to enhance features<br />

of <strong>in</strong>terest with<strong>in</strong> the data-set; and<br />

(3) those that use mathematical descriptions<br />

of the geophysical measurement process to<br />

model or <strong>in</strong>fer <strong>in</strong>formation about causative<br />

features from the measured anomalies.<br />

2.1.1 Mitigat<strong>in</strong>g data collection artefacts<br />

Magnetometer data Scollar et al (1990, 440–5)<br />

identify a number of sources of error <strong>in</strong><br />

magnetometer data result<strong>in</strong>g from field procedure<br />

and environmental factors. Computational<br />

procedures have been developed to detect<br />

and elim<strong>in</strong>ate the effects of many of these and<br />

maximise the clarity of archaeological anomalies<br />

Geoscan Research Geoplot 3.00 http://www.geoscan-research. wide range of process<strong>in</strong>g options specific to<br />

co.uk/page9.html archaeological geophysics<br />

DW Consult<strong>in</strong>g Archeo http://www.dwconsult<strong>in</strong>g.nl/ very up-to-date <strong>in</strong>terface; good process<strong>in</strong>g and<br />

<strong>Survey</strong>or 2 archeosurveyor.htm display options<br />

David Staveley Snuffler http://www.homeusers.prestel.co.uk free software; aimed primarily at earth resistance<br />

/aspen/sussex/snuffler.html survey process<strong>in</strong>g<br />

Geosoft Inc. OASIS Montaj http://www.geosoft.com/ offers a wide range of advanced process<strong>in</strong>g options<br />

aimed at all forms of geophysics<br />

GeoQuest Insite v3 No Web site, contact: offers an <strong>in</strong>tuitive and easy-to-use <strong>in</strong>terface<br />

Associates rockside@manx.net<br />

Geotomo Software Res2D<strong>in</strong>v 3.55 http://www.geoelectrical.com/ specialist software for <strong>in</strong>version of data for<br />

and Res3D<strong>in</strong>v 2.15 electrical sections<br />

41

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