绿地覆盖率与空气污染：中国西部四川的云遥感数据分析

IF 3.7 1区地球科学 Q1 GEOGRAPHY, PHYSICAL International Journal of Digital Earth Pub Date : 2024-08-04 DOI:10.1080/17538947.2024.2383454

Amin Naboureh, Ainong Li, Jinhu Bian, Guangbin Lei, Xi Nan, Zhengjian Zhang, Siavash Shami, Xiaohan Lin

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引用次数: 0

摘要

正如多个可持续发展目标（SDG），如 SDG-1、SDG-3、SDG-7 和 SDG-11 所承认的那样，空气污染是人类健康面临的最大健康风险。尽管全球都认识到空气污染对人类健康的危害，但空气污染仍是人类面临的最大健康风险。

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Green space coverage versus air pollution: a cloud-based remote sensing data analysis in Sichuan, Western China

Air pollution is the greatest health risk to human health, as acknowledged in several Sustainable Development Goals (SDG), such as SDG-1, SDG-3, SDG-7, and SDG-11. Despite global comprehension of t...

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来源期刊

International Journal of Digital Earth 地学-遥感

CiteScore

6.50

自引率

3.90%

发文量

审稿时长

3 months

期刊介绍： The International Journal of Digital Earth is a response to this initiative. This peer-reviewed academic journal (SCI-E) focuses on the theories, technologies, applications, and societal implications of Digital Earth and those visionary concepts that will enable a modeled virtual world. The journal encourages papers that: Progress visions for Digital Earth frameworks, policies, and standards; Explore geographically referenced 3D, 4D, or 5D models to represent the real planet, and geo-data-intensive science and discovery; Develop methods that turn all forms of geo-referenced data, from scientific to social, into useful information that can be analyzed, visualized, and shared; Present innovative, operational applications and pilots of Digital Earth technologies at a local, national, regional, and global level; Expand the role of Digital Earth in the fields of Earth science, including climate change, adaptation and health related issues,natural disasters, new energy sources, agricultural and food security, and urban planning; Foster the use of web-based public-domain platforms, social networks, and location-based services for the sharing of digital data, models, and information about the virtual Earth; and Explore the role of social media and citizen-provided data in generating geo-referenced information in the spatial sciences and technologies.