Special Issue "Urban Sensing Methods and Technologies"
Deadline for manuscript submissions: closed (15 December 2022) | Viewed by 14325
Interests: smart city; IoT; knowledge management
Interests: digital service innovation; smart cities; IoT based smart environments
Interests: urban air quality; airborne nano/ultrafine particles; aerosols; wind engineering; city, megacities and health; exposure assessment, modelling and inequalities; indoor air quality; energy-pollution nexus; airborne nanoparticles and nanomaterials; transport emission and modelling; air pollution dispersion modelling; technological pollution control and environmental policies; green infrastructure interventions and health mapping
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Today, our cities house more than 50% of the global population and are responsible for 70% of global energy consumption and 80% of global CO2 emissions. Consequently, cities are facing major challenges and various environmental, societal, and economic problems that need to be addressed in order to keep pace with the increasing population density and sustainability requirements. To this end, urban sensing technologies play a significant role by empowering advanced analytics solutions for decision-makers and urban managers. Since the emergence of the Internet of Things (IoT) and advances in sensing technologies, cities have been generating a huge amount of data that flow into digital twins of the built environment and offer richer services for citizens. Currently, a myriad of sensors are deployed in cities throughout the world, helping us to better understand urban environments through the digital twins. The sensor types range from air and water quality to temperature, noise pollution, traffic counters, and infrastructure monitoring. Furthermore, there are various sensor deployment strategies, such as drive-by sensing for creating dense spatial and temporal datasets, remote sensing, stationary sensing, and hybrid sensing approaches. The main goal of this Special Issue is to survey the state-of-the-art methods, technologies, and systems in urban sensing applications, as well as algorithms and methods for the extraction of information from data by AI, computational, and statistical approaches.
Dr. Amin Anjomshoaa
Prof. Dr. Markus Helfert
Prof. Dr. Prashant Kumar
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 100 words) can be sent to the Editorial Office for announcement on this website.
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 2500 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.