Paper
21 February 2024 Analysis of spatiotemporal differentiation characteristics of rural ecological environment in Shaoguan City, a resource-exhausted city
Tielan Huang, Junhui Yu, Xingliang Chen, Haoye Hu
Author Affiliations +
Proceedings Volume 12988, Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023); 1298809 (2024) https://doi.org/10.1117/12.3024348
Event: Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023), 2023, Xi’an, China
Abstract
This article takes Shaoguan City, a resource-exhausted city, as the research object. Using multi temporal remote sensing images, statistical yearbooks, and other data, based on the analysis of indicators such as biological abundance index, vegetation coverage index, water network density index, land stress index, and pollution load index, the ecological environment status index is used for comprehensive evaluation of the ecological environment status. Through research, the following conclusions can be drawn: (1) From 2000 to 2020, the ecological environment quality of various districts and counties in Shaoguan City generally decreased first and then increased. The ecological environment quality of Zhenjiang District, Qujiang District, Wengyuan County, and Nanxiong City is "good", while the ecological environment quality of Shixing County and Xinfeng County is "excellent", while the ecological environment quality of Lechang City, Ruyuan Yao Autonomous County, and Renhua County first decreases and then increases. (2) From 2000 to 2020, the changes in various ecological environment indicators in Shaoguan City were divided into two stages. From 2000 to 2010, with the gradual depletion of mineral resource development, the biological abundance, vegetation coverage, water network density, and land stress index of most districts and counties gradually decreased, while the pollution load index gradually increased, and the ecological environment condition continued to deteriorate. From 2010 to 2020, with the country's support for resource depleted cities and the success of industrial transformation and upgrading, the biological abundance, vegetation coverage, and water network density index gradually increased, while the land stress index and pollution load index decreased, and the ecological environment quality significantly improved. (3) To continue improving the ecological environment quality of Shaoguan City, it is necessary to increase the efforts of industrial transformation and upgrading, vigorously develop high-tech industries, characteristic agriculture, and modern service industries, and create a demonstration city for rural revitalization in Guangdong Province.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Tielan Huang, Junhui Yu, Xingliang Chen, and Haoye Hu "Analysis of spatiotemporal differentiation characteristics of rural ecological environment in Shaoguan City, a resource-exhausted city", Proc. SPIE 12988, Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023), 1298809 (21 February 2024); https://doi.org/10.1117/12.3024348
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KEYWORDS
Vegetation

Pollution

Environmental sensing

Data modeling

Remote sensing

Biodiversity

Environmental monitoring

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