Impacts of Land Use and Climate Change in Urban Area: Big Data and Machine Learning

Dear Colleagues,

Urbanization is growing rapidly across the globe, and cities are facing enormous challenges, including efficient management of land resources, the impacts of climate change, and the pressure of sustainable development. Under this background, big data and machine learning technologies are coming to the fore, providing powerful tools to address these complex issues. These technologies are capable of dissecting urban land use patterns, thereby empowering urban planners to make more informed decisions regarding land allocation, enhance urban spatial planning, and foster the sustainable use of land resources. In addition, climate change has become a global challenge, and urban land use change is a key factor affecting urban climate change. The use of big data and machine learning to monitor and predict the impact of land use on urban climate change is a new option for formulating response strategies. Through real-time data collection and analysis, urban authorities can track various sustainable development indicators, such as land use change, carbon emissions, air quality, and green coverage. It enables planning departments to adjust policies and plans in a timely manner to ensure that cities develop in a sustainable direction.

Therefore, we believe that these technologies can not only provide better decision-making support for urban planners, but also help build smarter and more sustainable cities to meet the growing challenges of urbanization. We encourage authors to share new technologies and theories in the study of land use change simulation, urban heat island effect, and environmental issues in sustainable development, as well as case studies on land use change, urban climate, and sustainability in typical regions.

The main topics of this Special Issue include but are not limited to:

(1)Response of Land Use to Climate in Urban Areas|
(2)Application of Machine Learning Algorithms in Land Use Simulation
(3)Impact of Urban Climate Change on Urban Sustainable Development
(4)The Challenge of Extreme Climate on Improving Urban Resilience
(5)The great potential of big data and machine learning algorithms in land use and climate change research
(6)Effective measures to alleviate changes in urban thermal environment

We very much look forward to your submissions.

Best regards,

Dr. Maomao Zhang
Guest Editor

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