The accuracy of Land Use/Land Cover data derived from remote sensing images is critical for many applications. Classification error is caused by the interaction of numerous factors, including landscape characteristics, sensor resolution, preprocessing algorithms, and classification procedures. The purpose of this paper is to extend the evaluation of the Collection 4 MODIS land cover product (MOD12Q1) to Shandong Province, east China, and to analyze the distribution of errors from a landscape pattern perspective. Logistic regression was employed to assess the impact of landscape characteristics on classification accuracy. A correct classification probability map based on logistic model was given for describing MOD12 land cover product's error distribution. The results indicate that classification accuracy increases as land cover patch size increases and as heterogeneity decreases.
['Haobo Lin', 'Jindi Wang', 'Xiuping Jia', 'Yanchen Bo', 'Dongwei Wang', 'Zhuosen Wang']
Evaluation of MODIS Land Cover Product of East China