GSTDTAP  > 地球科学
DOI10.1073/pnas.2005583117
Automated detection of archaeological mounds using machine-learning classification of multisensor and multitemporal satellite data
Hector A. Orengo; Francesc C. Conesa; Arnau Garcia-Molsosa; Agustín Lobo; Adam S. Green; Marco Madella; Cameron A. Petrie
2020-07-20
发表期刊Proceedings of the National Academy of Science
出版年2020
英文摘要

This paper presents an innovative multisensor, multitemporal machine-learning approach using remote sensing big data for the detection of archaeological mounds in Cholistan (Pakistan). The Cholistan Desert presents one of the largest concentrations of Indus Civilization sites (from ca. 3300 to 1500 BC). Cholistan has figured prominently in theories about changes in water availability, the rise and decline of the Indus Civilization, and the transformation of fertile monsoonal alluvial plains into an extremely arid margin. This paper implements a multisensor, multitemporal machine-learning approach for the remote detection of archaeological mounds. A classifier algorithm that employs a large-scale collection of synthetic-aperture radar and multispectral images has been implemented in Google Earth Engine, resulting in an accurate probability map for mound-like signatures across an area that covers ca. 36,000 km2. The results show that the area presents many more archaeological mounds than previously recorded, extending south and east into the desert, which has major implications for understanding the archaeological significance of the region. The detection of small (<5 ha) to large mounds (>30 ha) suggests that there were continuous shifts in settlement location. These shifts are likely to reflect responses to a dynamic and changing hydrological network and the influence of the progressive northward advance of the desert in a long-term process that culminated in the abandonment of much of the settled area during the Late Harappan period.

领域地球科学
URL查看原文
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/286820
专题地球科学
推荐引用方式
GB/T 7714
Hector A. Orengo,Francesc C. Conesa,Arnau Garcia-Molsosa,et al. Automated detection of archaeological mounds using machine-learning classification of multisensor and multitemporal satellite data[J]. Proceedings of the National Academy of Science,2020.
APA Hector A. Orengo.,Francesc C. Conesa.,Arnau Garcia-Molsosa.,Agustín Lobo.,Adam S. Green.,...&Cameron A. Petrie.(2020).Automated detection of archaeological mounds using machine-learning classification of multisensor and multitemporal satellite data.Proceedings of the National Academy of Science.
MLA Hector A. Orengo,et al."Automated detection of archaeological mounds using machine-learning classification of multisensor and multitemporal satellite data".Proceedings of the National Academy of Science (2020).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Hector A. Orengo]的文章
[Francesc C. Conesa]的文章
[Arnau Garcia-Molsosa]的文章
百度学术
百度学术中相似的文章
[Hector A. Orengo]的文章
[Francesc C. Conesa]的文章
[Arnau Garcia-Molsosa]的文章
必应学术
必应学术中相似的文章
[Hector A. Orengo]的文章
[Francesc C. Conesa]的文章
[Arnau Garcia-Molsosa]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。