“Hidden” Landscape of Prehistoric Burial Monuments: The Use of Remote Sensing in the Detection of Neolithic Long Barrows in Bohemia (Czech Republic)

ABSTRACT Neolithic long barrows are among the earliest monumental structures in Europe, yet in many parts of Central Europe their surface expression has been largely erased by long‐term agricultural activity. This study evaluates the potential of integrated remote sensing approaches for identifying and contextualizing long barrows and associated archaeological features in the intensively cultivated landscape of north‐western Bohemia, Czech Republic. The analysis focuses on two long barrows near Mount Říp (Dušníky 1 and Nížebohy) and combines oblique aerial photography, magnetic survey and airborne laser scanning (ALS). The results demonstrate that even heavily levelled long barrows remain detectable through the complementary use of non‐invasive methods. ALS confirms the presence of subdued barrow mantles, while aerial imagery and magnetometry provide key information on monument layout, internal structure and associated burial features. In addition, the remote sensing data reveal further funerary monuments of later prehistoric periods, indicating long‐term continuity of burial practices and the development of enduring ritual landscapes. Settlement activities are spatially restricted and clearly separated from funerary zones. This study highlights the value of multi‐method remote sensing for reconstructing prehistoric burial landscapes in intensively cultivated regions.

Authors

Institutions

Publication Details

Journal
Archaeological Prospection
Published
2026-02-16
DOI
https://doi.org/10.1002/arp.70035
Primary Topic
Archaeological Research and Protection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

“Hidden” Landscape of Prehistoric Burial Monuments: The Use of Remote Sensing in the Detection of Neolithic Long Barrows in Bohemia (Czech Republic)

Martin Gojda, Petr Krištuf, Jan Havelka, Peter Milo et al.
Archaeological Prospection
Archaeological Research and Protection
article

“Hidden” Landscape of Prehistoric Burial Monuments: The Use of Remote Sensing in the Detection of Neolithic Long Barrows in Bohemia (Czech Republic)

Martin Gojda, Petr Krištuf, Jan Havelka, Peter Milo, Tomáš Kroupa, Jan Turek
article en

Abstract

ABSTRACT Neolithic long barrows are among the earliest monumental structures in Europe, yet in many parts of Central Europe their surface expression has been largely erased by long‐term agricultural activity. This study evaluates the potential of integrated remote sensing approaches for identifying and contextualizing long barrows and associated archaeological features in the intensively cultivated landscape of north‐western Bohemia, Czech Republic. The analysis focuses on two long barrows near Mount Říp (Dušníky 1 and Nížebohy) and combines oblique aerial photography, magnetic survey and airborne laser scanning (ALS). The results demonstrate that even heavily levelled long barrows remain detectable through the complementary use of non‐invasive methods. ALS confirms the presence of subdued barrow mantles, while aerial imagery and magnetometry provide key information on monument layout, internal structure and associated burial features. In addition, the remote sensing data reveal further funerary monuments of later prehistoric periods, indicating long‐term continuity of burial practices and the development of enduring ritual landscapes. Settlement activities are spatially restricted and clearly separated from funerary zones. This study highlights the value of multi‐method remote sensing for reconstructing prehistoric burial landscapes in intensively cultivated regions.

Archaeological Prospection
Charles University (CZ), Masaryk University (CZ), University of West Bohemia in Pilsen (CZ)
Openalex Percentile: Top 60%
Archaeological Research and Protection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.