Coupling Coordination Degree between Ecological Environment Quality and Urban Development in Chengdu–Chongqing Economic Circle Based on the Google Earth Engine Platform

Abstract

Rapid urbanization often exerts massive pressure on the resources relied upon by the ecological environment. It is necessary to quickly evaluate the interaction and mutual influence between regional urbanization and the ecological environment. This paper uses the Google Earth Engine (GEE) platform, integrates MODIS and night light remote sensing data sets, and computes the remote sensing-based ecological index (RSEI) and the coupling coordination degree (CCD) to measure the coupling coordination and analyze the spatiotemporal changes in the Chengdu–Chongqing Economic Circle (CCEC) for 2010, 2015, and 2020. Our results demonstrate four key findings. Firstly, the CCD varies spatially; it peaks at the Chengdu and the West Chongqing Plains, decreasing outwards along the mountains, with the lowest degree of coupling in the central, southern, and northern edge areas of the CCEC. Additionally, it has shown a trend of maintaining unchanged first and then increasing, mainly responding to policy decisions. Secondly, the changes between the different coupling levels were almost stable and mainly occurred between adjacent levels. Thirdly, the coupling level of towns spreads outwards from the centers at Chengdu and Chongqing and has an overall upward trend in time. Fourthly, in the most recent year, the coupling types present a distribution pattern of one developing axis connected with two peaks. Specifically, the environment system lagging type aggregates in Chengdu, Chongqing, and their surrounding areas, and the others mainly are economic system lagging type. The high internal coupling type also mainly occurs in the high and low coupling levels. Under this context, constructive suggestions for developmental optimization in the study area were proposed.

Investigations on Driving Factors of Coordination Development of Rural Infrastructure and Ecological Environment: The Case of Western China

“…Compared with previous scholars' research, the research object of this paper is different. Scholars have conducted a lot of research on the coordinated development of infrastructure and the economy [38,39] and the ecological environment and tourism [40]. There are few studies on the coordinated development of rural infrastructure and ecological environment.…”

Evaluation of the Spatiotemporal Change of Ecological Quality under the Context of Urban Expansion—A Case Study of Typical Urban Agglomerations in China

“…Human activity plays an important role in the process of urbanization and the alteration of natural ecosystems [44]. Socio-economic data serve as crucial indicators that reflect disparities in regional economic development levels and variations in the intensity of human activities [45]. As indicated in Table 1, Human Density (HD) data and adjusted Gross Domestic Product (GDP) data were chosen as essential indicators to portray the distribution and characteristics of human influence [46][47][48].…”

Monitoring and analysis of eco-environmental quality in Yulin City from 2000 to 2020 based on Remote Sensing Ecological Index (RSEI)

“…RSEI and its improvements are widely used in the assessment and analysis of eco-environmental quality at different scales [12][13][14][15]. Meanwhile, the use of remote sensing cloud computing platforms, such as Google Earth Engine (GEE), greatly improves the efficiency of remote sensing data processing and analysis [16], which makes the application of large-scale and long time series RSEI more efficiently [17][18][19][20].…”