Dynamic monitoring and evaluation of urban ecological environment quality in Jinan city based on GIS and RS

Peipei Wang; Shuhua Zhang; Yanru Wang; Xiaoxian Chen; Tianhao Gong; Lijun Dong

doi:10.1117/12.3048888

27 November 2024 Dynamic monitoring and evaluation of urban ecological environment quality in Jinan city based on GIS and RS

Peipei Wang, Shuhua Zhang, Yanru Wang, Xiaoxian Chen, Tianhao Gong, Lijun Dong

Author Affiliations +

Proceedings Volume 13402, International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2024); 134022F (2024) https://doi.org/10.1117/12.3048888
Event: International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2024), 2024, Zhengzhou, China

Abstract

In this study, we utilize Landsat 8's OLI/TIRS imagery as the primary data sources for our analysis. Based on the analysis of the Landsat images of Jinan City in 2014, 2018 and 2023, the RSEI model is established to conduct spatial scale monitoring and dynamic change analysis. The research results show that from 2014 to 2023, the RSEI index continues to increase, and the ecological environment quality generally presents a good state, and the areas where the ecological environment changes are mainly concentrated in the northern and southwestern areas of Jinan City. At the meantime, the overall improvement area of ecological environment in Jinan city is greater than its deterioration area. The research aims to establish a scientific foundation for the ecological and environmental conservation in Jinan, thereby fostering the city's sustainable growth and development.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Peipei Wang, Shuhua Zhang, Yanru Wang, Xiaoxian Chen, Tianhao Gong, and Lijun Dong "Dynamic monitoring and evaluation of urban ecological environment quality in Jinan city based on GIS and RS", Proc. SPIE 13402, International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2024), 134022F (27 November 2024); https://doi.org/10.1117/12.3048888

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