Journal of Geographical Sciences ›› 2022, Vol. 32 ›› Issue (9): 1813-1830.doi: 10.1007/s11442-022-2024-3

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Spatiotemporal variations of eco-environment in the Guangxi Beibu Gulf Economic Zone based on remote sensing ecological index and granular computing

LIAO Weihua1(), JIANG Weiguo2,*(), HUANG Ziqian3   

  1. 1.College of Mathematics and Information Science, Guangxi University, Nanning 530004, China
    2.State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
    3.College of Sciences, Shanghai University, Shanghai 200444, China
  • Received:2021-09-22 Accepted:2022-02-16 Online:2022-09-25 Published:2022-11-25
  • Contact: JIANG Weiguo;
  • About author:Liao Weihua (1975-), Associate Professor, specialized in remote sensing for eco-environment analysis.
  • Supported by:
    Guangxi Natural Science Foundation(2020GXNSFAA297176);National Natural Science Foundation of China(U21A2022);National Natural Science Foundation of China(42101369);Youth Teacher Scientific Research Ability Improvement Project of Guangxi(2021KY0393)


Accurate and rapid evaluation of the regional eco-environment is critical to policy formulation. The remote sensing ecological index (RSEI) model of the Guangxi Beibu Gulf Economic Zone (GBGEZ) during 2001-2020 was established and evaluated using four indices: dryness, wetness, greenness, and heat. This paper proposes an information granulation method for remote sensing based on the RSEI index value that uses granular computing. We found that: (1) From 2001 to 2020, the eco-environmental quality (EEQ) of GBGEZ tended to improve, and the spatial difference tended to expand. The regional spatial distribution of the eco-environment is primarily in the second-level and third-level areas, and the EEQ in the east and west is better than that in the middle. The contribution of greenness, wetness, and dryness to the improvement of EEQ in the study region increased year by year. (2) From 2001 to 2020, the order of the contribution of the EEQ index in the GBGEZ was dryness, wetness, greenness, and heat. (3) The social and economic activities in the study region had a certain inhibitory effect on the improvement of the EEQ.

Key words: remote sensing eco-environment, spatiotemporal change, remote sensing information granules, remote sensing information granulation, Guangxi Beibu Gulf Economic Zone