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A Comprehensive Review of Land Use and Land Cover Change Based on Knowledge Graph and Bibliometric Analyses

Author

Listed:
  • Caixia Rong

    (International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
    Institute of Remote Sensing Science and Engineering, Beijing Normal University, Beijing 100875, China
    State Key Laboratory of Remote Sensing Science, Beijing 100101, China
    Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)

  • Wenxue Fu

    (International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
    Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)

Abstract

Land use and land cover (LULC) changes are of vital significance in fields such as environmental impact assessment and natural disaster monitoring. This study, through an analysis of 1432 papers over the past decade employing quantitative, qualitative, bibliometric analysis, and knowledge graph techniques, aims to assess the evolution and current landscape of deep learning (DL) in LULC. The focus areas are: (1) trend analysis of the number and annual citations of published articles, (2) identification of leading institutions, countries/regions, and publication sources, (3) exploration of scientific collaborations among major institutions and countries/regions, and (4) examination of key research themes and their development trends. From 2013 to 2023 there was a substantial surge in the application of DL in LULC, with China standing out as the principal contributor. Notably, international cooperation, particularly between China and the USA, saw a significant increase. Furthermore, the study elucidates the challenges concerning sample data and models in the application of DL to LULC, providing insights that could guide future research directions to accelerate progress in this domain.

Suggested Citation

  • Caixia Rong & Wenxue Fu, 2023. "A Comprehensive Review of Land Use and Land Cover Change Based on Knowledge Graph and Bibliometric Analyses," Land, MDPI, vol. 12(8), pages 1-22, August.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:8:p:1573-:d:1213160
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    References listed on IDEAS

    as
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