Spatiotemporal Change of Urban Ecologic Environment Quality Based on RSEI—Taking Meizhou City, China as an Example

Zhiyun Chen, Renrong Chen (), Quan Guo () and Yinglong Hu
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Zhiyun Chen: School of Geography Science and Tourism, Jiaying University, Meizhou 514000, China
Renrong Chen: School of Tourism and Culture, Guangdong Eco-Engineering Polytechnic, Guangzhou 510520, China
Quan Guo: School of Economics and Management, Suzhou Polytechnic Institute of Agriculture, Suzhou 215000, China
Yinglong Hu: Land Resources Technology Center of Guangdong Province, Guangzhou 510000, China

Sustainability, 2022, vol. 14, issue 20, 1-15

Abstract: An ecological index that is constructed based on remote sensing images can enable a rapid evaluation of the quality of the urban ecological environment and can provide a scientific basis for the construction of urban ecological civilization. Taking Meizhou City, in Guangdong in China, as a study area, based on the Landsat TM/OLI and MODIS remote sensing data, this paper extracts the total primary productivity (GPP), land surface temperature (LST), humidity component (Wetness), and bare soil index (SI), which represent the remote sensing ecological index (RSEI) evaluation indicators. The greenness, heat, humidity, and dryness in the indicators are used to characterize the quality of the regional ecological environment and its change characteristics. The results show that: (1) the high-quality areas of ecological environment in the study area are increasing, and the proportion of high-grade RSEI areas has increased from 61.7% to 66.2%. (2) About 26.3% of the area in the study area has an optimized ecological environment quality. (3) The correlation between POI and each index is significant, among which GPP and LST have a high correlation with RSEI, while POI and RSEI have a moderately negative correlation. (4) MODIS data are suitable for regional ecological environmental quality assessments. In the future, research on RSEI data sources and processing efficiency and the spatiotemporal changes of ecological quality and environmental factors can be strengthened, and the sustainable development of ecological protection and urban construction planning can be explored.

Keywords: ecological environment quality; remote sensing ecological index (RSEI); spatiotemporal change; correlation analysis; Meizhou (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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