Usage of Remote Sensing Data and Machine Learning Methods for Sustainable Urban Planning
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Urban Remote Sensing".
Deadline for manuscript submissions: closed (7 October 2021) | Viewed by 7292
Special Issue Editor
Interests: remote sensing; earth observation; machine learning; artificial intelligence; computer vision; feature engineering; big data visualization
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Cities were initially ignored by most climate change scientists. They were assumed to be highly developed and adaptable to environmental changes. In 2020, thanks to satellite- and IoT-based Earth-observation technologies, we know that this assumption is not true. Cities actually contribute to the acceleration of climate change, not only by directly increasing air and water pollution but also by creating heat islands, which damage the outside environment.
As you may be aware, more than half of the world’s population lives in cities. This number is expected to become much higher in Europe before 2028. Highly populated cities increase the demand for energy, transportation, water, and solutions for acquiring these supplies in a smart manner. This could be achieved by understanding current resource needs, elucidating the behaviours that lead to unsustainable resource use, and offering new intelligent ways to suggest new strategies for keeping our resources clean and available for the health of citizens and even the good functioning of economies.
I believe that researchers might bring more insights and understanding to this field using machine learning, artificial intelligence, and other mathematical techniques to extract meaningful indicators from Earth-observation and other IoT data. For instance, showing the correlations of different indicators, visualizing resource usage, and explaining the impacts of cities on the environment and public health might help to suggest better objectives to target for achieving smart cities that can adapt to climate change.
If possible, I would like to encourage researchers to use their novel methods on some real-life use cases and conduct experiments for a specific city that they know well.
I am looking forward to receiving manuscripts that are dedicated to helping our planet and taking the state of the art in this field one step further.
With my best regards,
Prof. Dr. Beril Sirmacek
Guest Editor
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 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
- Remote sensing
- Machine learning
- Artificial intelligence
- Sustainable development goals
- Food security
- Public health
- Biodiversity protection
- Green transportation
- Air quality
- Clean water
- Smart cities
- Big data
- Geoscience and Earth observation
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
