Analysis of Spatiotemporal Variation and Drivers of Ecological Quality in Fuzhou Based on RSEI

• Published in: Remote sensing (Basel, Switzerland) Vol. 14; no. 19; p. 4900
• Main Authors: Geng, Jianwei, Yu, Kunyong, Xie, Zhen, Zhao, Gejin, Ai, Jingwen, Yang, Liuqing, Yang, Honghui, Liu, Jian
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.10.2022
• Subjects: Cities; Driving ability; driving force analysis; Ecological monitoring; Fuzhou City; Heat; Humidity; Principal components analysis; Remote monitoring; Remote sensing; remote sensing ecological indices; spatial autocorrelation; Statistical analysis; Sustainable development; Urban environments; Urbanization; Variables; Vegetation; Fujian China; China
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs14194900

Background: High-speed urbanization has brought about a number of ecological and environmental problems, as well as the use of remote sensing to monitor the urban ecological environment and explore the main factors affecting its changes. It is important to promote the sustainable development of cities. Methods: In this study, we quantify the ecological quality of the study area from 2000 to 2020 based on the remote sensing ecological index (RSEI) and analyze its drivers through Geodetector and geographically weighted regression. Results: The RSEI of Fuzhou City from 2000 to 2020 showed an increasing followed by a decreasing trend, with obvious spatial autocorrelation. The main driving factors causing the spatial divergence of the RSEI were elevation (q = 0.48–0.63), slope (0.42–0.59), and GDP (0.3–0.42), and the driving effect and range of each factor changed with time. Conclusion: In this paper, we explore changes in the ecological environment in Fuzhou City over the past 20 years, as well as the scope and magnitude of the drivers, providing an important reference basis to improve the ecological environment quality of the city.