About this Research Topic
Effective urban planning and sustainable land use are essential for the growth and development of cities, especially in rapidly expanding urban areas. This field has seen considerable advancements in the monitoring and analysis of land use patterns, driven by the integration of modern data analytics and innovative technologies. Recent scientific efforts have focused on enhancing the precision of spatial and temporal land use data through advanced statistical methods, machine learning, and data assimilation techniques. This progress helps in understanding the dynamic changes in land use and their impact on urban development. However, significant challenges remain in effectively applying these insights to real-world urban planning and policymaking, especially concerning sustainability and community engagement.
This Research Topic aims to delve into the spatial and temporal variations of land use across recent decades, particularly within developing cities, and explore the array of modern data analytics developed for precise land use retrieval. It seeks to understand how these technological advancements can be leveraged to optimize city planning processes, architectural designs, and the incorporation of sustainable features within urban frameworks.
To advance the understanding of land use distribution's spatial and temporal variations, especially in developing urban territories, this Research Topic focuses on:
• Spatial and temporal dynamics of land use in urban regions
• Advancements in land use retrieval technologies, including statistical, machine learning, and data fusion methods
• Links between land use data and the execution of urban development strategies and architectural innovations
• Political and environmental analyses related to shifts in urban land use patterns
• Technological breakthroughs in land use pattern detection and their applications in community-based urban design
• Exploration of how urban planning can adapt to ensure sustainable natural resource utilization within neighborhoods.
Contributions may include original research, systematic reviews, methodological advances, comprehensive reviews, policy analyses, community case studies, and brief reports, all tailored to advance the discourse in sustainable urban planning.
This Research Topic aims to delve into the spatial and temporal variations of land use across recent decades, particularly within developing cities, and explore the array of modern data analytics developed for precise land use retrieval. It seeks to understand how these technological advancements can be leveraged to optimize city planning processes, architectural designs, and the incorporation of sustainable features within urban frameworks.
To advance the understanding of land use distribution's spatial and temporal variations, especially in developing urban territories, this Research Topic focuses on:
• Spatial and temporal dynamics of land use in urban regions
• Advancements in land use retrieval technologies, including statistical, machine learning, and data fusion methods
• Links between land use data and the execution of urban development strategies and architectural innovations
• Political and environmental analyses related to shifts in urban land use patterns
• Technological breakthroughs in land use pattern detection and their applications in community-based urban design
• Exploration of how urban planning can adapt to ensure sustainable natural resource utilization within neighborhoods.
Contributions may include original research, systematic reviews, methodological advances, comprehensive reviews, policy analyses, community case studies, and brief reports, all tailored to advance the discourse in sustainable urban planning.
Keywords: Urban planning strategies, modern city development, spatial data analytics, temporal dynamics of land use, spatial variation of landscape patterns, satellite informatics, land use detection, data driven solutions for urban planning
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
