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Current Popular Methods for LCZ Mapping

  • Yingsheng Zheng,
  • Ran Wang,
  • Meng Cai

摘要

GIS-based mapping and Remote sensing-based mapping have been widely employed in LCZ classification. GIS mapping method uses multiple data sources, such as remote sensing imagery, aerial photographs, and existing GIS databases of planning information, which allows detailed descriptions of urban forms and land cover conditions. WUDAPT (World Urban Database and Access Portal Tools) is a global project aimed at creating a worldwide comprehensive database of LCZ based on remote sensing techniques. It provides a fast and low-cost way of classifying land cover conditions based on free-access remote sensing images. The supervised pixel-based classification of WUDAPT shows wide applicability in different regions around the world, which is especially helpful for developing regions to fast establish LCZ classification maps. The combined mapping method of GIS-based and WUDAPT mapping is an emerging trend that aims to leverage the strengths of both GIS and remote sensing techniques to improve the accuracy and efficiency of LCZ mapping. LCZ classification maps and databases are increasingly applied in climatic planning as information support for decision-making.