Artificial Intelligence, Image Processing and Spatial Analytics in Environmental Informatics
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Evolutionary Algorithms and Machine Learning".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 7
Special Issue Editors
2. Department of Mathematics, The Chinese University of Hong Kong, Hong Kong SAR, China
Interests: applied and computational mathematics; image and data analytics; machine learning algorithms; remote sensing; numerical modeling; smart city development
Special Issues, Collections and Topics in MDPI journals
Interests: big data; data mining; data science; predictive modelling; SDGs
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Progress is being made in developing cutting-edge technologies and modern computing approaches to handle vast datasets related to environmental monitoring and urban informatics. Moreover, scientists are currently synergizing the strengths of various algorithms in artificial intelligence (AI), image processing and spatial analytics to advance our understanding of the surrounding environment. More research efforts should be focused on how these algorithms can enable the efficient processing, integration and analysis of complex datasets from diverse sources, for example, satellite imagery, model outputs and local monitoring networks. AI techniques (e.g., machine learning, deep learning, neural networks, etc.) can enhance climate modelling and the prediction of extreme weather events, contributing to improved disaster preparedness and climate resilience. Spatial analytics and image processing support the precise mapping of land use changes and environmental anomalies and the real-time monitoring of local climatic conditions. Combining these approaches could enhance predictive accuracy and facilitate the downscaling of numerical models to provide detailed local forecasts from relatively coarse global or regional datasets. Additionally, the use of generative AI models can assist in bridging data gaps and improving data generation where observational datasets are sparse in nature. More research is needed on addressing challenges related to the explainability and uncertainty quantification of AI models for disaster risk management, climate mitigation and sustainable city development.
This Special Issue aims to explore the use of data analytic and mathematical modeling approaches, artificial intelligence algorithms, and machine learning techniques to help mitigate global and regional environmental challenges. Improvements in algorithms can enhance environmental sustainability and resilience and foster actionable decision making to better manage complex ecosystems and urban environments. Original research articles and literature reviews of relevant topics are particularly welcome.
Dr. Hugo Wai Leung Mak
Dr. Kassim S. Mwitondi
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 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. Algorithms is an international peer-reviewed open access monthly 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 1800 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
- algorithms in global, regional and/or local environmental monitoring
- artificial intelligence and/or big data analytics
- atmospheric monitoring and retrieval mechanisms
- deep learning and/or machine learning framework
- environmental sustainability and resilience
- image processing techniques
- land use monitoring and environmental anomalies
- remote sensing and satellite informatics
- spatial and temporal environmental dynamics
- uncertainty quantification of AI models
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