Automated Local Climate Zone Mapping via Multi-Parameter Synergistic Optimization and High-Resolution GIS-RS Fusion
Li W. Liu X. Samat A. Gamba P.
June 2025Multidisciplinary Digital Publishing Institute (MDPI)
Remote Sensing
2025#17Issue 12
Local Climate Zone (LCZ) classification is essential for urban microclimate modeling and heat mitigation planning. Traditional methods relying on manual sampling face limitations in scalability, objectivity, and handling spatial heterogeneity. This study presents an automated framework for LCZ sample generation, facilitating efficient large-scale LCZ mapping and LCZ-based urban climate analysis and geospatial applications. To this aim, it proposes a dual-path automated framework integrating GIS-driven sample generation to enhance LCZ classification accuracy: a multi-parameter Synergistic Optimization approach for urban LCZs and a Distance-driven Maximum Coverage method for natural LCZs. Specifically, urban samples are selected via multi-objective optimization and Pareto front screening for quality and representativeness, while the selection of natural samples prioritizes spatial coverage and diversity. Combining urban morphological parameters with Sentinel-2 imagery and a Random Forest classifier yielded a final accuracy of 0.95 in our test site, confirming the framework’s effectiveness.
automated sampling , high-resolution GIS-RS fusion , Local Climate Zones , spatial analysis , urban morphology analysis , urban sustainability
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Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, 27100, Italy
State Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China
China-Kazakhstan Joint Laboratory for RS Technology and Application, Al-Farabi Kazakh National University, Almaty, 050012, Kazakhstan
Department of Electrical
State Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands
China-Kazakhstan Joint Laboratory for RS Technology and Application
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