利用 ICESat-2 数据提高青藏高原 SRTM3 DEM 和 TanDEM-X DEM 精度的五种方法比较

IF 3.7 1区地球科学 Q1 GEOGRAPHY, PHYSICAL

International Journal of Digital Earth Pub Date : 2024-08-19 DOI:10.1080/17538947.2024.2391036

Weifeng Xu, Jun Li, Dailiang Peng, Jinge Jiang, Hongxuan Xia, Di Wen

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引用次数: 0

摘要

数字高程模型（DEM）的精度对于复杂地形的实际应用至关重要。在这项研究中，采用了各种校正模型来评估和校正 90 m SRT...

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Comparison of five methods for improving the accuracy of SRTM3 DEM and TanDEM-X DEM in the Qinghai-Tibet Plateau using ICESat-2 data

The accuracy of digital elevation models (DEMs) is crucial for practical applications in complex terrain. In this study, various correction models were employed to evaluate and correct the 90 m SRT...

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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.