Predictive modelling of multiperiod geoarchaeological resources at a river confluence: a case study from the Trent-Soar, UK


Carey, C.J., Brown, A.G., Challis, K.C., Howard, A. and Cooper, L. (2006) Predictive modelling of multiperiod geoarchaeological resources at a river confluence: a case study from the Trent-Soar, UK Archaeological Prospection, 13, (4), pp. 241-250. (doi:10.1002/arp.295).

Download

Full text not available from this repository.

Description/Abstract

This research project developed a terrace sequencemodel ofalluvial landscape development to aid the management of the geoarchaeological resource within a temperate valley floor threatened by aggregate extraction.Themodelwas created using the remote sensing techniques of light detection and ranging (lidar) and ground-penetrating radar (GPR), dovetailed with other archaeological and geological data setswithin a geographical information system(GIS).Lidar first pulse (FP), last pulse (LP) and intensity models were used in a combination of ways to characterize the landscape. The topographic LP model was particularly effective at defining the major alluvial landforms, such as the higher terraces and palaeochannels. Lidar intensity data defined the palaeochannels, in response to the surface sediments’ ability to absorb/reflect the lidar laser pulse. The threedimensional architecture of the sediments infilling the valley floor was elucidated and modelled by GPR survey along geospatially referenced transect lines. These surveys had their time-slices calibrated through gouge coring along the transect lines, allowing depth slicing of the sediment stratigraphy.TheGPR surveys accuratelydefined the depth of silty clayalluviumoverlying the sands and gravels. Internal structure was revealed within the terrace gravels and at the margins of palaeochannels, allowing identification of bounding surfaces and construction of relative landform chronologies.However,GPRpenetrationinto fine-grainedpalaeochannel fillswasgenerally shallow, with little internal channel stratigraphy revealed.The lidar data sets and the GPR depth slices were integratedwithin ArcGISand ArcScene.The distributionof theknownand sometimesvisiblearchaeological remains is considered in context of the geomorphology. It is demonstrated that erosion and sedimentation have‘geologically filtered’ the archaeological resource and that some areas that have previously been considered archaeologically barren have high potential for both cultural and environmental archaeological remains.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1002/arp.295
ISSNs: 1075-2196 (print)
Keywords: lidar, GPR, alluvial, GIS, Trent, Soar.
Subjects:

ePrint ID: 55197
Date :
Date Event
2006Published
Date Deposited: 01 Aug 2008
Last Modified: 16 Apr 2017 17:44
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/55197

Actions (login required)

View Item View Item