Sensors and Materials
Special Issue on Multisource Sensors for Geographic Spatiotemporal Analysis
and Social Sensing Technology
Call for papers
In recent years, with the rapid development of wireless sensors, handheld smart terminal devices,
information communication, Internet of Things (IoT) technologies, and internet and mobile
communication networks, a large amount of spatiotemporal big data has been generated withindividual labels and spatiotemporal semantic information, which can facilitate the prolonged andhighly accurate tracking and observation of individuals’ spatial movements. With the advent of the bigdata era, geospatial big data, comprehensively covering human activities and geographicalenvironmental information, has surpassed the limitations of traditional purposeful sampling data interms of data scope, spatiotemporal granularity, and information content. This transformative
development has ushered in a new research paradigm for the comprehensive understanding of thehuman–environment relationship. Geospatial Intelligence (GeoAI), an interdisciplinary research fieldcombining geographic spatial science and artificial intelligence, significantly enhances the capability
for dynamic sensing, intelligent reasoning, and knowledge discovery of geographical phenomena andEarth science processes. Therefore, the rapid development of remote sensing sensors and information
communication technology, along with the application of technologies such as intelligent sensors,
remote sensing, artificial intelligence, social perception , and spatiotemporal big data in geographic
information science, provides reliable methods and technological support for geographical research.
This special issue aims to elaborate on the research and applications of multisource sensor data,
remote sensing technology, and geographic information technology in the analysis of spatiotemporal
data and social perception. It focuses on theoretical and practical research related to natural resources,
the ecological environment, climate change, and urban transportation at various scales, as well as
dynamic monitoring and the investigation of changing trends in the spatiotemporal status, thus
providing effective technical support for geospatial analysis and natural resource management.
Scope:▪

Multisource sensors for geographic spatiotemporal analysis;▪

Ecological environment monitoring/assessment based on sensor data;▪

Urban traffic monitoring/perception based on sensor data;▪

Application of multisource sensors in climatology;▪
▪

Application of multisource sensors in social sensing technology;
Urban governance/assessment based on geographic spatiotemporal data;▪

Monitoring and analysis of urban natural resources;▪

Extraction/fusion methods for urban multisensor monitoring based on artificial intelligencetechnology;
Integration and application of artificial intelligence technology and geospatial–temporal datatechnology;▪
▪

Technological methods and application services of intelligent surveying and mapping.

Submission due date: July 31, 2024
Publication date (planned): November 30, 2024
Journal website: http://myukk.org/
Guest Editors:
Prof. Xiang Lei Liu, Ph.D.
School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering andArchitecture, China
E-Mail: liuxianglei@bucea.edu.cn
Interests: remote sensing sensors, intelligent sensors, remote sensing, geomatics, photogrammetry,infrastructure monitoring and evaluation
Prof. Bogang Yang, Ph.D.
Beijing Key Laboratory of Urban Spatial Information Engineering, Beijing Institute of Surveying andMapping, China
E-Mail: bogangy@126.com
Interests: remote sensing sensors, geomatics, photogrammetry, remote sensing, surveying andmapping of cities, monitoring and evaluation of natural resources
Submit to:
1. Online Manuscript Submission System (https://myukk-org.ssl-xserver.jp/form/) or
2. Email to MYU K.K. (myukk@myu-inc.jp)(Attention)
As stated in Instructions to Authors in the Guidelines, the author(s) will be obliged to pay thepublication fee upon the acceptance of the manuscript for publication (for example, JPY 145200 for
10 pages in Sensors and Materials format). If the quality of the English of your manuscript does notsatisfy the journal standards, the authors should bear the proofreading fee (JPY 11000–44000), which
will be charged with the publication fee. If you have any questions, please feel free to contact theeditorial staff at the address below.
Editorial Department of Sensors and Materials
MYU K.K.
1-23-3-303 Sendagi, Bunkyo-ku, Tokyo 113-0022, Japan
Tel: +81-3-3827-8549, Fax: +81-3-3827-8547
E-mail: myukk@myu-inc.jp