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Landscape Pattern Consistency Assessment of 10 m Land Cover Products in Different Ecological Zoning Contexts of Sichuan Province, China

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  • Miaomiao Ma

    (School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China
    Henan College of Surveying and Mapping, Zhengzhou 450000, China)

  • Youfeng Zou

    (School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China)

  • Wenzhi Zhang

    (School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China)

  • Chunhui Chen

    (Henan Institute of Geophysical Spatial Information, Zhengzhou 450000, China)

Abstract

The research on land cover and its changing value to the ecology environment and ecosystem service is of great importance. Understanding the landscape patterns and accuracy in remote sensing land cover data from multiple sources under eco-regionalization is important for relevant research under eco-regionalization. Land cover and land use in different ecological regionalization contexts influence massive ecosystem processes on a global scale, and many ecosystem models are dependent on accurate land cover information. It is, therefore, important to assess the available global land cover products based on different ecological zoning contexts and to understand the differences between them so that different researchers can apply them in a rational way. This study took Sichuan Province as an experimental case. Based on the three methods of spatial superposition, landscape index, and validation sample, we discussed and then analyzed the consistency of landscape patterns for the three 10 m global land cover data under different ecogeographic zones. The results showed that the spatial consistency of FROM-GLC, ESA, and ESRI land cover data were high under the ecological zoning of Palearctic0518 (PA0518) and PA1017, while the spatial pattern was less consistent for the three land cover data under the ecological zoning of PA0509 and PA0437. The fully consistent areas for the three data were 44,420.9 km 2 and 53,368.9 km 2 , respectively. The results of the quantitative analysis of the landscape index showed significant differences in the degree of landscape fragmentation, landscape shape complexity, and the connectivity among landscape patches of several land cover data were significantly different under different ecological zones. Based on the three kinds of independent validation samples to achieve the absolute accuracy of evaluation, the overall accuracy of the FROM-GLC, ESA, and ESRI land cover data was less than 60%, and future drawing still needs to further improve the regional land cover data mapping accuracy under different ecological zones in order to carry out ecological environment monitoring, land ecological security evaluation, and related research to provide a reference.

Suggested Citation

  • Miaomiao Ma & Youfeng Zou & Wenzhi Zhang & Chunhui Chen, 2022. "Landscape Pattern Consistency Assessment of 10 m Land Cover Products in Different Ecological Zoning Contexts of Sichuan Province, China," Sustainability, MDPI, vol. 14(24), pages 1-18, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:24:p:16673-:d:1001927
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    References listed on IDEAS

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    1. Jun Wang & Zhihua Wang & Hongbin Cheng & Junmei Kang & Xiaoliang Liu, 2022. "Land Cover Changing Pattern in Pre- and Post-Earthquake Affected Area from Remote Sensing Data: A Case of Lushan County, Sichuan Province," Land, MDPI, vol. 11(8), pages 1-24, July.
    2. Junmei Kang & Xiaomei Yang & Zhihua Wang & Hongbin Cheng & Jun Wang & Hongtao Tang & Yan Li & Zongpan Bian & Zhuoli Bai, 2022. "Comparison of Three Ten Meter Land Cover Products in a Drought Region: A Case Study in Northwestern China," Land, MDPI, vol. 11(3), pages 1-20, March.
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    4. Tolessa, Terefe & Senbeta, Feyera & Kidane, Moges, 2017. "The impact of land use/land cover change on ecosystem services in the central highlands of Ethiopia," Ecosystem Services, Elsevier, vol. 23(C), pages 47-54.
    5. Junmei Kang & Zhihua Wang & Hongbin Cheng & Jun Wang & Xiaoliang Liu, 2022. "Remote Sensing Land Use Evolution in Earthquake-Stricken Regions of Wenchuan County, China," Sustainability, MDPI, vol. 14(15), pages 1-23, August.
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