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基于Google Earth Engine的粤港澳大湾区生态质量与城市化耦合协调度分析
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Abstract:
研究快速城市化背景下如何平衡生态环境和城市化发展对促进城市群可持续发展具有重要意义。本文立足遥感视角，结合日间光学遥感和夜间灯光遥感数据，基于Google Earth Engine云平台对2000~2020年粤港澳大湾区城市群生态环境状况、城市化强度以及二者耦合协调度进行分析。结果表明：1) 粤港澳大湾区城市群在2000~2020年间RSEI均值稳定上升，生态环境呈现出好转的态势，但地区间的差异依旧显著；2) 经过20年的城市化发展，粤港澳大湾区城市群形成了以环珠江口的城市向四周逐步推进的城市化格局；3) 20年间粤港澳大湾区城市群的生态环境与城市化的协调程度空间分异较为明显，总体有所改善。研究结果可以为粤港澳大湾区城市群可持续发展提供数据支撑和科学参考。
It is of great significance to study how to balance the ecological environment and urbanization de-velopment under the background of rapid urbanization to promote the sustainable development of urban agglomerations. Based on the perspective of remote sensing, this paper combines the data of daytime optical remote sensing and nighttime light remote sensing, and based on the Google Earth Engine cloud platform to analyze the ecological environment, urbanization intensity and coupling coordination degree of the Guangdong-Hong Kong-Macao Greater Bay Area urban agglomeration from 2000 to 2020. The results show that: 1) the average RSEI of the Guangdong-Hong Kong-Macao Greater Bay Area urban agglomeration increased steadily from 2000 to 2020, and the ecological environment showed a trend of improvement, but the differences between regions were still significant; 2) after 20 years of urbanization development, The urban agglomeration of the Guang-dong-Hong Kong-Macao Greater Bay Area has formed an urbanization pattern with cities surrounding the Pearl River Estuary gradually advancing to the surrounding areas; 3) in the past 20 years, the degree of coordination between the ecological environment and urbanization of the Guang-dong-Hong Kong-Macao Greater Bay Area urban agglomeration has been significantly different in space, and the overall level has improved. The research results can provide data support and scientific reference for the sustainable development of the Guangdong-Hong Kong-Macao Greater Bay Area urban agglomeration.
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