One kilometer land cover map of Heihe River Basin is a subset of China's one kilometer land cover map (miclcover) developed by ran Youhua et al. (2009; 2011), which integrates multi-source local information. Miclcover land cover map adopts IGBP land cover classification system, based on evidence theory, integrates 1:100000 land use data of China in 2000, vegetation types of China Vegetation Atlas (1:1 million), 1:100000 glacier distribution map of China, 1:1 million marsh wet map of China and MODIS land cover product (mod12q1) in 2001. The verification results of miclcover show that the overall consistency between miclcover and China's land use map is 88.84% at seven levels, among which the consistency of cultivated land, city, wetland and water body types is more than 95%. By comparing with modis2001 land cover data products and igbpcover land cover map in three typical areas, miclcover maintains the overall consistency of China's land use map The volume precision increases the leaf attributes and leaf shape information of Chinese vegetation map, and reflects more detailed local land cover details. Using the national forest resources survey data in Gansu Province, Yunnan Province, Zhejiang Province, Heilongjiang Province and Jilin Province, the results show that the accuracy of forest types of miclcover is greatly improved compared with MODIS land cover products; using the class I forest resources survey data of Qilian Mountain National Nature Reserve Administration of Gansu Province, the forest types of miclcover are verified, and the results are as follows The results show that the accuracy of forest type of miclcover in this area is 82.94%.

In a word, while maintaining the overall accuracy of China's land use data, miclcover land cover map supplements the information of vegetation types and vegetation seasons in China's vegetation map, and updates the latest information of China's wet map and China's Glacier map, which greatly improves the accuracy of China's land cover data and makes the classification system more universal. The data can provide reference for land surface process model For more accurate land cover information.