Improved monitoring of urbanization processes in China for regional climate impact assessment

Yonghong Hu, Gensuo Jia, Christine Pohl, Qiang Feng, Yuting He, Hao Gao, Ronghan Xu, John van Genderen, Jinming Feng

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

Regional climate is influenced by land surface processes through energy exchange between land and atmosphere at various scales. The performance of climate model simulation is largely influenced by land cover parameterization, especially over areas that experience rapid change of land surface characterization. Accurate land cover datasets suited for climate modeling are urgently needed to improve model parameterization for better simulation. In this study, fused urban land cover datasets have been developed by combining multi-source urban land cover products based on cross-comparison and detailed validation from medium resolution images during recent decades. Fractional cover values at different spatial scales were aggregated from integrated land cover datasets to derive improved estimates of the urban extent of big cities in China. Urbanization in China as captured by the new dataset can be divided into steadily and rapidly increasing periods with the urban area increasing by 2.5 and 6.7 % per year, respectively. Rapid urbanization mostly happens in the urban fringe, especially in eastern China, with mass conversion of cropland and woodland to urban land. An improvement in climate model simulation could be achieved using the fused data applied in climate modeling for examining the impact of rapid urbanization on the regional climate.

Original languageEnglish (US)
Pages (from-to)8387-8404
Number of pages18
JournalEnvironmental Earth Sciences
Volume73
Issue number12
DOIs
StatePublished - Jun 29 2015

All Science Journal Classification (ASJC) codes

  • Global and Planetary Change
  • Environmental Chemistry
  • Water Science and Technology
  • Soil Science
  • Pollution
  • Geology
  • Earth-Surface Processes

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