Reconstructing a prehistoric topography using legacy point data in a depositional environment. Issue 5 (4th September 2013)

• Record Type: Journal Article
• Authors: Vermeer, Julian A. M.; Finke, Peter A.; Zwertvaegher, Ann; Gelorini, Vanessa; Bats, Machteld; Antrop, Marc; Verniers, Jacques; Crombé, Philippe
• Is Part Of: Earth surface processes and landforms. Volume 39:Issue 5(2014)
• Page Start: 632
• Page End: 645
• Publication Date: 2013-09-04
• Subjects: Geomorphology -- Periodicals; 551.4
• DOI: 10.1002/esp.3472
• Languages: English
• ISSNs: 0197-9337

Abstract

<abstract abstract-type="main"> <title>ABSTRACT</title> <p>Reconstruction of past topography is an essential step towards the understanding of past landscapes in terms of biophysical patterns and processes and man–landscape interactions by archaeologists, geomorphologists, geologists and soil scientists. Landscape reconstructions can be based on process knowledge, on data, or on a combination of both. In this case study we focus on a data‐based approach, where knowledge on the geological history is used to interpret and exploit legacy data. As part of a landscape reconstruction of a large area of 584 km<sup>2</sup> a map of the elevation near 10 000 BC was produced. Starting from a present‐day grid digital elevation model (GDEM) that was filtered for human influences, we identified the thickness of accumulated sediments over the Holocene, mapped these and corrected the GDEM. To map the thickness of Holocene sediments we used 72 (OSL and <sup>14</sup>C) dated sediment samples, 731 recent profile descriptions and 3288 legacy profile descriptions. Protocols were formulated based on literature and local correlative studies to convert the legacy profile descriptions into estimates of the thickness of Holocene sediments, with an estimate of the precision. The method of Kriging with uncertain data was applied to obtain a map. Validation at 200 independent test locations with certain data showed a mean error of –6 cm and a standard deviation or error of 16 cm, which was in accordance with the estimated precision of 16 cm. The resulting map indicated zones with marked change that could be studied in more detail. Future reconstructions could employ both process knowledge and data by combining landscape genesis models with legacy data to map model errors and thus increase the quality of the reconstruction. Copyright © 2013 John Wiley & Sons, Ltd.</p> </abstract>