基于遥感和GIS的文化景观古地形重建——以Tamralipti古港口为例

Q4 Computer Science
Pradeep S Arya, Rajani M B
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引用次数: 0

摘要

人类与他们居住的景观的互动在地面上留下了基本上不起眼的印记。然而,在我们了解过去的过程中,这些线索仍然是最发人深省的。卫星图像提供的空间视图在使我们能够以图案的形式识别这些印记方面发挥着关键作用。在这项研究中,尝试使用地理空间工具对特定文化景观进行古环境重建。使用一系列历史文件(文字记录,如公元前5世纪和7世纪的旅行者描述,18世纪和19世纪出版的印度次大陆地图)和过去50年的卫星图像(CORONA,谷歌地球数字地球)来识别和分析迄今为止未经探索的文化遗址的分布,以了解这些古代遗址位于印度次大陆最具活力的地区之一:恒河三角洲。对许多具有独特模式的遗址及其分布进行了识别,并对其几乎未被发现的景观的形态特征进行了分析,从而对古代塔姆拉卢蒂港口的可能位置和范围进行了某些推断。该研究还揭示了古代港口附近的海岸和三角洲变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Paleo-topographic Reconstruction of Cultural Landscapes using Remote Sensing and GIS: A case study of the ancient port of Tamralipti
Human interaction with the landscape they inhabit leaves imprints that are largely inconspicuous on the ground. Yet, these remain the most thought provoking among the sets of clues available to us in fuelling the quest to understand our past. Spatial view provided by satellite imagery plays a pivotal part in enabling us to identify these imprints in the form of patterns. In this study, a paleo-environmental reconstruction of a particular cultural landscape using geo-spatial tools has been attempted. A range of historical documents (textual records such as traveller’s accounts dating to 5th and 7th centuries CE, maps of the Indian sub-continent published in the 18th and 19th centuries) and satellite imagery of the last 50 years (CORONA, Google Earth Digital Globe ) are used to identify and analyse the distribution of cultural sites that are hitherto unexplored to understand the impact of past changes to the landscape of these ancient sites located along one of the most dynamic regions of the Indian subcontinent: the Gangetic Delta. The identification of numerous sites of a distinct pattern and their distribution, analysed along with the morphological signature of the landscape on which they remain almost undetected has led to certain inferences on the possible location and extents of the ancient port of Tamralipti. The study also reveals the coastal and deltaic changes in the vicinity of the ancient port.
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来源期刊
测绘地理信息
测绘地理信息 Earth and Planetary Sciences-Earth-Surface Processes
CiteScore
0.20
自引率
0.00%
发文量
4458
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