地球信息科学学报

地球信息科学学报 ›› 2023, Vol. 25 ›› Issue (5): 1027-1036.doi: 10.12082/dqxxkx.2023.220595

• 遥感科学与应用技术 • 上一篇    下一篇

基于信息熵的GlobeLand 30和WorldCover耕地破碎区一致性分析

段艳慧1(), 赵学胜1,*(), 彭舒2   

  1. 1.中国矿业大学（北京）地球科学与测绘工程学院， 北京 100083
    2.国家基础地理信息中心，北京 100830
  • 收稿日期:2022-08-16 修回日期:2022-09-29 出版日期:2023-05-25 发布日期:2023-04-27
  • 通讯作者: *赵学胜（1967— ），男，山东曹县人，博士，教授，主要从事数字地球空间建模研究。E-mail: zxs@cumtb.edu.cn
  • 作者简介:段艳慧（1997— ），女，河南鹿邑人，硕士，主要从事自然资源与生态环境遥感技术研究。E-mail: gyxdyh123@163.com
  • 基金资助:
    国家自然科学基金重点项目(41930650)

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)

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摘要：

在山地丘陵等地物破碎度较高的地区，分辨率大小对地表覆盖产品质量的影响更大。为此，本文以GlobeLand 30和WorldCover产品的耕地为例，引入信息熵对多源地表覆盖产品进行了一致性分析。首先，计算研究区耕地对应原始影像不同波段的信息熵，以反映单一耕地类的总体不确定性；其次，为了描述影像局部区域的不确定性分布，构建局部信息熵；最后，对两产品的不确定性分级叠加，进行一致性分析。结果表明：① 信息熵可以在产品空间分布的基础上更加细致的反映耕地内部的不确定性变化情况，直观的看出难以判定类别的区域分布；② 30 m分辨率的GlobeLand 30产品耕地总体不确定性大于10 m分辨率的WorldCover产品。从不确定性分布情况来看，两产品不确定性较大的地区主要围绕耕地与其他地物的交错地区，其混合像元更多，地物类别模糊，不确定性更大；③ 对于两产品不确定性的叠加结果，分辨率差异带来的耕地不确定性差异分别为蓝波段34.54%、绿波段51.13%、红波段46.03%、近红外波段61.48%；④ 对于两产品空间分布不一致的地区， GlobeLand 30产品的不确定性也更大，即受到分辨率的影响较大。

关键词: 地表覆盖, 信息熵, 一致性分析, 耕地, 不确定性, GlobeLand30, WorldCover, Landsat 8, Sentinel-2

Abstract:

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