Integrating AI into Sustainable Land Use/Land Cover Studies

Dear Colleagues,

As we stand on the precipice of urban transformation, the integration of artificial intelligence (AI) emerges as a pivotal focus for future research in land use/land cover. AI, with its ability to process vast datasets, recognize patterns, and predict outcomes, holds the potential to revolutionize how we understand and plan for urban growth. This Special Issue invites submissions applying AI in land use/land cover studies. This includes, but is not limited to, the following:

1. Machine Learning for Predictive Modeling: The utilization of machine learning algorithms for predictive modeling can enhance our ability to foresee urban growth patterns. These algorithms, trained on historical data and diverse urban contexts, can provide valuable insights into potential future trajectories, enabling urban planners to proactively regulate expansion and allocate resources efficiently.
2. AI in Change Detection: AI-driven change detection models can surpass traditional methods, offering unparalleled precision in identifying alterations in urban landscapes. Integrating advanced algorithms and deep learning approaches can refine our understanding of how cities evolve over time, especially in the context of dynamic environmental and socio-economic factors.
3. Autonomous Systems for Spatial Analysis: The deployment of autonomous systems equipped with AI capabilities can revolutionize spatial analysis. These systems can autonomously collect, process, and analyze data, offering real-time insights into urban dynamics. This not only accelerates the research process but also enables a more dynamic and adaptive approach to urban planning.
4. AI for Dynamic Scenario Simulations: AI can be instrumental in developing dynamic scenario simulations, considering a multitude of variables in real-time. By incorporating AI-driven simulations, researchers and policymakers can explore various future scenarios, allowing for more informed decision-making and adaptive urban planning strategies.
5. Smart Urban Infrastructure: AI technologies can play a crucial role in developing smart urban infrastructure. From traffic management to waste disposal, AI-driven systems can optimize resource utilization, enhance efficiency, and contribute to the creation of sustainable and resilient cities.
6. Autonomous Environmental Monitoring: AI-powered autonomous systems can revolutionize environmental monitoring in urban areas. These systems can continuously monitor air quality, water resources, and green spaces, providing real-time data to assess the impact of urban growth on the environment and human well-being.

Prof. Dr. Selima Sultana
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. Sustainability 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.

• land use/land cover change
• urban growth
• artificial intelligence
• urban sustainability
• scenario-based simulation
• prediction
• modeling
• GIS
• remote sensing