4.5 Article

Object-based landform delineation and classification from DEMs for archaeological predictive mapping

期刊

JOURNAL OF ARCHAEOLOGICAL SCIENCE
卷 39, 期 3, 页码 698-703

出版社

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jas.2011.11.001

关键词

Geomorphometry; Archaeological predictive modelling; Object-based image analysis; Geomorphological mapping

资金

  1. NWO, The Netherlands Organisation for Scientific Research
  2. Austrian Science Fund (FWF) through Stand-alone project [FWF-P20777-N15]
  3. Marie Curie European Reintegration Grant within the 7th EC Framework Programme [FP7-PEOPLE-ERG-2008-239312]

向作者/读者索取更多资源

In this paper we report the results of an experiment with automated landform delineation and classification from digital elevation models (DEMs) using object-based image analysis (OBIA). Archaeologists rely on accurate and detailed geomorphological maps to predict and interpret the location of archaeological sites. However, they have been using high-resolution DEMs primarily for visual interpretation and expert-judgement classification of landform. OBIA can perform these classifications much faster and in a more objective fashion. The method was tested on a study area in the south east of the Netherlands. It is concluded that OBIA is a suitable technique for quick and objective delineation of landform, but needs an improved conceptual framework adapted to the local situation and archaeological questions to better identify and interpret the derived landform objects. (C) 2011 Elsevier Ltd. All rights reserved.

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