利用2015年至2023年的高分辨率遥感数据分析斯怀兹冰川的连续凿冰前沿后退及相关影响因素

IF 3.7 1区地球科学 Q1 GEOGRAPHY, PHYSICAL

International Journal of Digital Earth Pub Date : 2024-08-15 DOI:10.1080/17538947.2024.2390438

Qi Zhu, Huadong Guo, Lu Zhang, Dong Liang, Zherong Wu, Yiming Liu, Xinyu Dou, Xiaobing Du

引用次数: 0

摘要

斯维斯冰川（TG）占当今海平面上升的百分之四，已被证实正在不可逆转地消退和变薄。因此，了解蒂维斯冰川的持续...

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Analysis of continuous calving front retreat and the associated influencing factors of the Thwaites Glacier using high-resolution remote sensing data from 2015 to 2023

The Thwaites Glacier (TG), accounting for four percent of present-day sea-level rise, has been confirmed with the irreversible retreat and thinning. Consequently, understanding the continuous calvi...

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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.