@ARTICLE{10.21494/ISTE.OP.2025.1357, 

TITLE={Utilizing WUDAPT LCZ Data for Land Use Representation in Weather Research and Forecasting (WRF) Models}, 
  
AUTHOR={Hamza NISAR
, Christophe MENEZO
, Mattheos SANTAMOURIS, }, 
	
JOURNAL={Entropy: Thermodynamics – Energy – Environment – Economy }, 
	
VOLUME={6}, 

NUMBER={Special Issue}, 
	
YEAR={2025}, 

URL={https://www.openscience.fr/Utilizing-WUDAPT-LCZ-Data-for-Land-Use-Representation-in-Weather-Research-and}, 
	
DOI={10.21494/ISTE.OP.2025.1357}, 
	
ISSN={2634-1476}, 
	
ABSTRACT={Local Climate Zones (LCZs) classify urban areas based on their morphology and thermal properties. Using the WUDAPT Level 0 methodology, this study develops an LCZs map for Lyon by leveraging satellite imagery and open-source tools. The process involves collecting training data, performing classification, and validating results. The LCZs map reveals Lyon’s diverse urban structures, offering valuable insights for climate studies and sustainable urban planning. This study highlights the utility of LCZs datasets in addressing challenges posed by urbanization and climate change.}}