Advanced Information Systems: Data-Driven and Geospatial Approaches
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 31 January 2027 | Viewed by 571
Editors
Interests: geoAI; remote sensing; urban data mining
Special Issues, Collections and Topics in MDPI journals
Interests: geographic information system; remote sensing; environmental management; risk assessment; spatial analysis; environmental policy analysis; big data analysis; sustainable cities; sustainability
Special Issues, Collections and Topics in MDPI journals
Interests: urban mobility; urban economics; geospatial data analytics; sustainability
Interests: urban remote sensing; data fusion; deep learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid advancement of information systems is revolutionizing how we collect, analyze, and leverage geospatial data to address complex urban and environmental challenges. From high-resolution urban mapping to intelligent prediction models, novel computational techniques and data-driven approaches are enabling unprecedented insights into the built environment, transportation systems, environmental sustainability, and human-environment interactions.
This Special Issue, titled "Advanced Information Systems: Data-Driven and Geospatial Approaches", seeks to explore cutting-edge methodologies that harness big data, artificial intelligence, and geospatial technologies to solve real-world problems. We aim to showcase innovative research that integrates multi-source data, develops intelligent algorithms, and provides actionable solutions for sustainable urban development and environmental management.
We invite contributions that demonstrate the transformative potential of advanced information systems across diverse applications. Whether exploring deep learning for remote sensing, geospatial big data analytics, explainable machine learning for urban systems, or novel database architectures for spatiotemporal data, we welcome research that pushes the boundaries of what is possible with modern information technologies.
Suitable topics include, but are not limited to, the following:
- Deep learning and AI applications in remote sensing and urban mapping;
- Geospatial big data mining and social media analytics;
- Explainable machine learning for urban and environmental systems;
- Novel prediction models for transportation and human mobility;
- Spatiotemporal data management and query optimization;
- Carbon emissions modeling and environmental sustainability assessment;
- Multi-source data fusion for urban planning and management;
- Applications of GIS in climate change mitigation and adaptation.
Dr. Yi Bao
Dr. Xiao Zhou
Dr. Ganmin Yin
Dr. Bowen Cai
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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics 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 2400 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
- advanced information systems
- data-driven solutions
- geospatial big data
- remote sensing applications
- spatiotemporal analysis
- deep learning in GIS
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