Comprehensive Assessment of Urban Ecological Environment Based on Multisource Data Integration Analysis

Abstract In order to understand the comprehensive assessment of urban ecological environment, the author proposes a study on the comprehensive assessment of urban ecological environment based on multi-source data integration analysis. The author first analysed that remote sensing and geographic information systems are effective means for resource and environmental research. Secondly, using remote sensing and GIS technology to conduct surveys and evaluations of regional ecological environment quality at different scales can make up for the shortcomings of traditional methods that require a lot of manpower, material resources, and time to obtain ecological environment background data. It has the advantages of relatively easy data acquisition, rich information, and fast analysis. Finally, taking a certain city as an example, establishing a scientific evaluation system to comprehensively evaluate the ecological environment of the city, understanding its current situation and spatial distribution characteristics, is of great significance for promoting the construction of ecological cities, coordinating human land relations, and achieving sustainable economic and social development. The experimental results show that the urban area (with a comprehensive environmental evaluation index of 7.16) is mainly hilly and plain, with most areas having relatively flat terrain. In recent years, with the increase in urban green area and the increase in environmental protection and governance efforts, the environmental quality of the city has shown a trend of improvement.

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Publication Details

Journal
Ecological Chemistry and Engineering S
Published
2025-12-01
DOI
https://doi.org/10.2478/eces-2025-0026
Primary Topic
Applied Advanced Technologies
Type
article
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article

Comprehensive Assessment of Urban Ecological Environment Based on Multisource Data Integration Analysis

Can Pang, Shuai Cao
Ecological Chemistry and Engineering S
Applied Advanced Technologies
article

Comprehensive Assessment of Urban Ecological Environment Based on Multisource Data Integration Analysis

Can Pang, Shuai Cao
article en

Abstract

Abstract In order to understand the comprehensive assessment of urban ecological environment, the author proposes a study on the comprehensive assessment of urban ecological environment based on multi-source data integration analysis. The author first analysed that remote sensing and geographic information systems are effective means for resource and environmental research. Secondly, using remote sensing and GIS technology to conduct surveys and evaluations of regional ecological environment quality at different scales can make up for the shortcomings of traditional methods that require a lot of manpower, material resources, and time to obtain ecological environment background data. It has the advantages of relatively easy data acquisition, rich information, and fast analysis. Finally, taking a certain city as an example, establishing a scientific evaluation system to comprehensively evaluate the ecological environment of the city, understanding its current situation and spatial distribution characteristics, is of great significance for promoting the construction of ecological cities, coordinating human land relations, and achieving sustainable economic and social development. The experimental results show that the urban area (with a comprehensive environmental evaluation index of 7.16) is mainly hilly and plain, with most areas having relatively flat terrain. In recent years, with the increase in urban green area and the increase in environmental protection and governance efforts, the environmental quality of the city has shown a trend of improvement.

Ecological Chemistry and Engineering SVol. 32(4)
Guangzhou Institute of Applied Software Technology, Chinese Academy of Sciences (CN)
Sustainable cities and communities
Openalex Percentile: Top 31%
Applied Advanced Technologies
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Comprehensive Assessment of Urban Ecological Environment Based on Multisource Data Integration Analysis — Can Pang, Shuai Cao · Ecological Chemistry and Engineering S (2025) | TGRS Research Map | TGRS