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100 Years of Archaeological Research in China (1921-2021): A Space-Based Perspective
This special issue belongs to the section “Environmental Remote Sensing“.
Special Issue Information
Dear Colleagues,
In 1921, China’s first official archaeological excavation campaign was carried out at Yangshao village of today’s Sanmenxia city, in the Henan Province, marking the birth of modern Chinese Archaeology. The discovery of Yangshao has confirmed that there was a very developed painted-pottery culture in Neolithic China. Forty years later, the first remote sensing-based archaeological survey in China was conducted in Sanmenxia too. In this pioneering survey, Chinese archaeologists and remote sensing experts used aerial photographs to detect and map the distribution of ancient sites and tombs around the areas planned for the construction of the Sanmenxia Reservior. After that, spatial information technologies, such as remote sensing and GIS, have played an important role in discovering, monitoring, mapping and protecting many important archaeological sites and cultural heritages in China.
Over the past 100 years, we have witnessed the rapid development of science and technology and the continuous expansion of the applications of spatial information techniques to address a wide range of archaeological issues. We would like to celebrate the 100th anniversary of Chinese Archaeology by publishing this Special Issue to provide overviews and achievements of archaeological research in China from a space-based perspective. This Special Issue will consist of a large set of domestic contributions for the major fields in Chinese Archaeology as pertinent to space-based solutions to archaeological purposes. We welcome contributions that can synthesize the current state of knowledge, summarize existing issues and challenges, and provide new insights for future research and development in a certain field of archaeology in China using space information technologies. Submissions covering a wide range of space and time are mostly encouraged.
You may choose our Joint Special Issue in Land.
Dr. Lei Luo
Dr. Lijun Yu
Prof. Jianguo Liu
Prof. Dr. Hui Wang
Prof. Hui Fang
Prof. Dr. Gang Li
Dr. Hai Zhang
Dr. Jie He
Dr. Shaohua Wang
Dr. Ruixia Yang
Dr. Peng Lu
Dr. Zhe Li
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- spatial information technology
- remote sensing
- GIS
- geophysical prospecting and acoustic sensing
- landscape archaeology
- geoarchaeology
- environmental archaeology
- settlement archaeology
- Silk Road
- Great Wall and Grand Canal of China
- Chinese Neolithic and Bronze Age
- Chinese historical periods
- burial geomancy and Fengshui
- cultural heritage protection and sustainability
- big data
- machine learning
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