Journal of Geo-information Science ›› 2023, Vol. 25 ›› Issue (5): 1027-1036.doi: 10.12082/dqxxkx.2023.220595

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Consistency Analysis of GlobeLand30 and WorldCover Cultivated Land Fragmentation Area based on Information Entropy

DUAN Yanhui1(), ZHAO Xuesheng1,*(), PENG Shu2   

  1. 1. College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China
    2. National Geomatics Center of China, Beijing 100830, China
  • Received:2022-08-16 Revised:2022-09-29 Online:2023-05-25 Published:2023-04-27
  • Contact: ZHAO Xuesheng;
  • Supported by:
    Key Program of National Natural Science Founda tion of China(41930650)


There are various reasons for the inconsistency among land cover products, such as the difficulty in determining pixel into categories at different image resolutions. The inconsistency caused by image resolution is determined by the attributes of the image itself and cannot be changed by increasing the number of samples, improving classification methods, and other measures. Especially in mountainous and hilly areas with high ground fragmentation, the resolution has a greater impact on the quality of land cover products. Therefore, taking the cultivated land of GlobeLand 30 and WorldCover products as an example, this paper introduces information entropy to analyze the consistency of multi-source land cover products. Firstly, the information entropy of different bands of the original images in the cultivated land is calculated to reflect the overall uncertainty of the cultivated land category. Secondly, the local information entropy is constructed to describe the local uncertainty of the images. Finally, the uncertainty of the two products is overlapped and the consistency is analyzed. The results show that: (1) The information entropy can reflect the uncertainty changes with more details in the cultivated land based on the spatial distribution of products, and the regional distribution of categories that are difficult to determine can also be easily detected; (2) The overall uncertainty of GlobeLand30 cultivated land with 30m resolution is greater than that of WorldCover cultivated land with 10 m resolution. The large uncertainty of the two products mainly exists in the transitional areas between cultivated land and other ground features, where there are more mixed pixels and fuzzy ground feature categories; (3) Based on the overlapped uncertainty of the two products, the uncertainty of cultivated land is relatively low in products with higher resolution and relatively high in products with lower resolution. The difference of cultivated land uncertainty caused by resolution difference are that 34.54% in blue band, 51.13% in green band, 46.03% in red band, and 61.48% in near-infrared band; (4) For areas where the spatial distribution of the two products is inconsistent, the uncertainty of GlobeLand30 product is greater, which means it is greatly affected by the resolution, while the uncertainty of WorldCover product is smaller, which means it is less affected by resolution.

Key words: land cover, information entropy, consistency analysis, cultivated land, uncertainty, GlobeLand 30, WorldCover, Landsat 8, Sentinel-2