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Evaluation and fusion of global 10 m land cover data in first batch of Chinese wetland cities

  • role： First author第一作者
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

    College of Geographical Sciences, Hunan Normal University, Changsha 410081, China

  • Email：yinxiaogan718@hunnu.edu.cn
  • Introduction：尹潇淦，研究方向为湿地遥感与城市湿地评估。E-mail： yinxiaogan718@hunnu.edu.cn
YIN Xiaogan12,  
  • role： Corresponding author通信作者
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

    Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

  • Email：jiangweiguo@bnu.edu.cn
  • Introduction：蒋卫国，研究方向为遥感大数据智能优化提取、地理空间优化模拟、城市湿地、生态水文与洪水灾害监测评估。E-mail： jiangweiguo@bnu.edu.cn
JIANG Weiguo13*,  
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

    College of Geography and Planning, Nanning Normal University, Nanning 530001, China

LING Ziyan14,  
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

    Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

WANG Xiaoya13,  
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

    Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

DENG Yawen13

Resümee

High-precision land cover data are an important research basis for ecosystem monitoring and assessment and regional sustainable development. However, studies on high-resolution land cover data (10 m) at the urban scale are few. With the establishment of wetland cities, high-quality and high-precision land cover data have become essential to provide information for relevant research.Taking the first wetland cities in China, as the study area, this study selected three sets of global 10 m land cover data (Dynamic World, ESA WorldCover, and Esri Land Cover) in 2020 and 2021, for spatial consistency evaluation and precision evaluation. First, the consistency and confusion between any two sets of data were calculated using the spatial superposition method, and a spatial consistency distribution map was drawn to analyze the spatial consistency of the three sets of data. Second, the confusion matrix was calculated by constructing verification sample points through visual interpretation to evaluate the accuracy of the three sets of data. Finally, based on the results of the spatial consistency analysis and accuracy evaluation, the land cover data sets were fused to produce a new set of data, and a fusion method based on spatial consistency analysis and accuracy evaluation was proposed.Results showed that (1) in any two data sets, the consistency of the water, forest, cropland, and urban areas was high, whereas the confusion of the wetland, grassland, and bare areas was high, and (2) the spatial consistency between ESRI and DW was the highest, with the highest proportion of consistent areas (more than 60%) and lowest proportion of inconsistent areas (less than 6%), which were distributed mainly in areas along the coast and rivers and with extensive wetlands. Such areas had strong heterogeneity and complex land cover types. (3) ESA had the highest overall accuracy, whereas DW and ESRI had a similar overall accuracy. The ESA wetland types had relatively high precision and classification details, which are suitable for urban wetland-related research. (4) Multisource land cover data can be effectively integrated, and the data accuracy of widely heterogeneous regions can be improved using the fusion method based on spatial consistency analysis and accuracy evaluation. The overall accuracy of the fusion results (more than 80%) and kappa coefficient was higher than that of the three original data.Therefore, the research results can provide data support and auxiliary decision-making support for wetland city certification and related research.

Schlüsselwort

remote sensing;land cover data set;wetland city;spatial consistency assessment;precision assessment;data fusion

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