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

• Published in: Journal of geographical sciences 2022-09, Vol.32 (9), p.1813-1830
• Main Authors: Liao, Weihua, Jiang, Weiguo, Huang, Ziqian
• Format: Article
• Language: English
• Subjects: Analysis; Earth and Environmental Science; Economics; Environmental quality; Geographical Information Systems/Cartography; Geography; Geospatial data; Nature Conservation; Physical Geography; Regular Article; Remote sensing; Remote Sensing/Photogrammetry; Spatial distribution
• ISSN: 1009-637X; 1861-9568
• DOI: 10.1007/s11442-022-2024-3

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.