Assessing Disagreement and Tolerance of Misclassification of Satellite-derived Land Cover Products Used in WRF Model Applications

作者: Hao Gao , Gensuo Jia

DOI: 10.1007/S00376-012-2037-4

关键词:

摘要: As more satellite-derived land cover products used in the study of global change, especially climate modeling, assessing their quality has become vitally important. In this study, we developed a distance metric based on parameters weather research and forecasting (WRF) to characterize degree disagreement among identify tolerance for misclassification within International Geosphere Biosphere Programme (IGBP) classification scheme. We determined spatial then created maps Moderate Resolution Imaging Spectoradiometer (MODIS) products, calculated overall class-specific accuracy fuzzy agreement WRF model. Our results show high level model between large-scale homogeneous landscapes, while low appeared heterogeneous landscapes. The varied significantly seven regions China. MODIS Collection 4 5 significantly. High occurred following classes: water, grassland, cropland, barren or sparsely vegetated. Misclassification mainly specific classes with similar plant functional types discriminative spectro-temporal signals. Some need be improved further; across China still does not meet common requirements modeling. findings may have important implications improving surface parameterization simulating better understanding influence change climate.

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