WCSE 2024 ISBN: 978-981-94-1156-6
DOI: 10.18178/wcse.2024.06.029

Ecological Environment Quality Monitoring in Jinan City based on Landsat Remote Sensing Data

Fangfang Li, Rui Wang

Abstract— In order to comprehensively and objectively evaluate and monitor the ecological environmentquality of Jinan City, this paper selects Landsat TM/OLI series data from 2007, 2013, 2018 and 2021, and uses principal component analysis to construct the Remote Sensing Ecological Index (RSEI) based on four components: vegetation coverage, soil moisture, building-bare soil index and land surface temperature. And the grading and difference treatment were carried out to monitor the changes in the quality of the ecological environment in Jinan. The results show that the remote sensing ecological index (RSEI) in 2007, 2013, 2018 and 2021 was 0.5911, 0.6153, 0.6488 and 0.6708, respectively, and its values showed an upward trend, indicating that the ecological environment of Jinan City was gradually improving. Combined with the classification map of each year, it is found that the areas with poor ecological environment in Jinan are mainly the areas with dense population, high economic level and low vegetation coverage in the city center or counties, while the ecological environment in the southern mountainous areas and the northern part of Jinan City is better. This study can provide a reference for the subsequent policy adjustment of the environmental status of each county in Jinan, and can also provide a theoretical reference for the ecological environment monitoring of other cities of the same type.

Index Terms— Remote sensing data, RSEI, ecological environment quality monitoring

Fangfang Li
Shandong Jiaotong University, CHINA
Rui Wang
Shandong Jiaotong University, CHINA

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Cite: Fangfang Li, Rui Wang, "Ecological Environment Quality Monitoring in Jinan City based on Landsat Remote Sensing Data," 2024 The 14th International Workshop on Computer Science and Engineering (WCSE 2024), pp. 189-193, Phuket Island, Thailand, June 19-21, 2024.