以可持续发展目标和全球监测与评估小组为导向，分析多种情景下的时空变化，评估红树林的有效性和潜力

IF 3.7 1区地球科学 Q1 GEOGRAPHY, PHYSICAL International Journal of Digital Earth Pub Date : 2024-04-26 DOI:10.1080/17538947.2024.2346274

Ziyan Ling, Weiguo Jiang, Kaifeng Peng, Ze Zhang, Zhifeng Wu, Shiquan Zhong, Aiping Chu, Zhijie Xiao, Ziyu Sun

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引用次数: 0

摘要

了解红树林的保护工作对红树林管理至关重要。本研究提出了一个时空分析模型，以评估广西北部湾（GBG）红树林的变化，并对其进行保护。

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SDG- and GMAG-oriented analysis of multi scenarios spatiotemporal changes and evaluation of the effectiveness and potential of mangrove forests

It is crucial to mangrove management by understanding its conservation efforts. This study proposed a spatiotemporal analysis model to evaluate mangrove changes in the Guangxi Beibu Gulf (GBG) and ...

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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.