Monitoring of urban ecological environment including air quality using satellite imagery

被引:5
|
作者
Wang, Yuan [1 ]
Cai, Guoyin [1 ,2 ]
Yang, Liuzhong [3 ]
Zhang, Ning [3 ]
Du, Mingyi [1 ,2 ]
机构
[1] Beijing Univ Civil Engn & Architecture, Sch Geomat & Urban Spatial Informat, Beijing 100044, Peoples R China
[2] Beijing Univ Civil Engn & Architecture, Beijing Adv Innovat Ctr Future Urban Design, Beijing 100044, Peoples R China
[3] Minist Housing & Urban Rural Dev Peoples Republ C, Remote Sensing Applicat Ctr, Beijing 100835, Peoples R China
来源
PLOS ONE | 2022年 / 17卷 / 08期
关键词
CARRYING-CAPACITY EVALUATION; POLLUTION; TROPOMI; INDEX; EFFICIENCY; AREA;
D O I
10.1371/journal.pone.0266759
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Rapid urbanisation has highlighted problems in the urban ecological environment and stimulated research on the evaluation of urban environments. In previous studies, key factors such as greenness, wetness, and temperature were extracted from satellite images to assess the urban ecological environment. Although air pollution has become increasingly serious as urbanisation proceeds, information on air pollution is not included in existing models. The Sentinel-5P satellite launched by the European Space Agency in 2017 is a reliable data source for monitoring air quality. By making full use of images from Landsat 8, Sentinel-2A, and Sentinel-5P, this work attempts to construct a new remote sensing monitoring index for urban ecology by adding air quality information to the existing remote sensing ecological index. The proposed index was tested in the Beijing metropolitan area using satellite data from 2020. The results obtained using the proposed index differ greatly in the central urban region and near large bodies of water from those obtained using the existing remote sensing monitoring model, indicating that air quality plays a significant role in evaluating the urban ecological environment. Because the model constructed in this study integrates information on vegetation, soil, humidity, heat, and air quality, it can comprehensively and objectively reflect the quality of the urban ecological environment. Consequently, the proposed remote sensing index provides a new approach to effectively monitoring the urban ecological environment.
引用
收藏
页数:15
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