Abstract
Urban land use data play a central role in climate change assessments of urbanization process. The Moderate Resolution Imaging Spectroradiometer (MODIS) land use data is employed in the Weather Research and Forecasting (WRF) model. It is important to understand scaling effects of the MODIS urban data before applying to regional climate modelling. In this study, we took the Landsat derived National Land-Use/Land-Cover Dataset (NLCD) of China as the reference data to assess the accuracy of the MODIS urban map. Urban area sizes and spatial agreement of urban pixels were investigated as assessment methods at the national and metropolitan levels over China. Results showed that the accuracies vary from region to region and highlighted strengths and weaknesses of the MODIS data in different metropolitan area. The study provides insights to model communities with the suitability of the MODIS urban data for specific regional modeling.
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