ID | 63028 |
Title Alternative | Analysis of the Tottori-kamitakatsuka mounded tomb through airborne LiDAR survey
|
JaLCDOI | |
FullText URL | |
Author |
Mitsumoto, Jun
Okayama University, Graduate School of Humanities and Social Sciences
Kaken ID
publons
researchmap
Yamaguchi, Yuji
Okayama University, Graduate School of Humanities and Social Sciences
Ryan, Joseph
Okayama University, Archaeological Research Center
|
Abstract | This paper presents the results of a drone-based airborne LiDAR survey of the Tottori-kamitakatsuka mounded tomb located in Akaiwa city, Okayama prefecture. Dating to the second half of the Late Kofun period (latter 6th century), this mounded tomb has traditionally been considered either the largest keyhole-shaped mounded tomb in the Bizen area of this period (total length of either 67 m or 75 m) or a round tomb with a diameter of approximately 30 m. Details of the tomb’s size and shape have long been uncertain, owing to the lack of detailed survey mapping of the mound and its environs. In this paper, the authors present their findings on the shape and size of the mounded tomb based on high-quality three-dimensional data acquired through airborne LiDAR survey utilizing a drone; they suggest that the tomb is a keyhole-shaped mounded tomb measuring approximately 75 m in length. This mounded tomb is therefore the second largest mounded tomb of the Kibi region during the period, following the Kōmorizuka mounded tomb located in Sōja city. Additionally, the authors discuss the significance such three-dimensional data has for enhancing our understanding of Japanese history on both a local and archipelago-wide scale.
|
Keywords | LiDAR survey
drone
Kofun period
Tottori-kamitakatsuka mounded tomb
keyhole-shaped mounded tomb
|
Amo Type | 研究ノート(Research Notes)
|
Publication Title |
Dynamics of Civilizations
|
Published Date | 2022-03
|
Volume | volume1
|
Publisher | 岡山大学文明動態学研究所
|
Start Page | 67
|
End Page | 81
|
ISSN | 2436-8326
|
Content Type |
Journal Article
|
language |
Japanese
|
Copyright Holders | © 2022 by RIDC
|
File Version | publisher
|
NAID |