Multi-Platform Remote Sensing for the Modeling and Analysis of Smart Cities

Dear Colleagues,

Smart cities are being built to help make cities better places to live, work, and play while reducing their carbon footprint. Smart cities are municipalities that adopt cloud/edge computing technologies and IoT solutions to improve the construction, management, and surveillance of urban space, of which the growing abundance of remote sensing data and emerging remote sensing technologies are an integral part.

Spatial information such as remote sensing images is the most important basic information for smart city construction and services. Remote sensing technology is an essential technical means for the dynamic collection and monitoring of urban spatial information because of its wide spatial coverage and high efficiency. The comprehensive use of a variety of remote sensing technologies and cloud service modes can enable the intelligent service system of regular and all-around remote sensing monitoring on a regional scale, thus providing a strong spatial information guarantee for smart cities. This Special Issue encourages researchers to focus on the exciting field of monitoring, identifying, representing, and predicting urban space using multi-platform remote sensing, with the support of various spatial big data. New theories, technologies, and applications that aim to address the challenges of modeling and analyzing smart cities, improving regulations for urban development, and optimizing urban spatial planning decisions using multi-platform remote sensing are very welcome.

Relevant topics include but are not limited to:

• Remote-sensing-oriented spatiotemporal data architecture for smart cities;
• High-resolution remote sensing image databases for smart cities;
• Multi-source remote sensing cloud platforms for smart cities;
• Remote sensing index systems for smart city evaluation;
• Multi-platform remote sensing technology for smart city monitoring;
• Multidisciplinary applications for smart city management using remote sensing;
• Future scenario forecasting of smart cities using remote sensing and GIS.

Prof. Dr. Yongjiu Feng
Dr. Zhipeng Gui
Dr. Pedro Cabral
Dr. Qunshan Zhao
Dr. Shuangyun Peng
Guest Editors

Manuscript Submission Information

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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.

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