雜志介紹

International Journal Of Digital Earth雜志介紹

《International Journal Of Digital Earth》是一本以English為主的未開放獲取國際優(yōu)秀期刊，中文名稱國際數(shù)字地球雜志，本刊主要出版、報道地球科學(xué)-GEOGRAPHY, PHYSICAL領(lǐng)域的研究動態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗和科研成果，介紹該領(lǐng)域有關(guān)本專業(yè)的最新進展，探討行業(yè)發(fā)展的思路和方法，以促進學(xué)術(shù)信息交流，提高行業(yè)發(fā)展。該刊已被國際權(quán)威數(shù)據(jù)庫SCIE收錄，為該領(lǐng)域相關(guān)學(xué)科的發(fā)展起到了良好的推動作用，也得到了本專業(yè)人員的廣泛認可。該刊最新影響因子為3.7，最新CiteScore 指數(shù)為6.5。

本刊近期中國學(xué)者發(fā)表的論文主要有：

• High-resolution spatio-temporal analysis of snowmelt over Antarctic Peninsula ice shelves from 2015 to 2021 using SAR images

  Author: Zhu, Qi; Guo, Huadong; Zhang, Lu; Liang, Dong; Liu, Xuting; Zhou, Heng; Gou, Yiting

• MDvT: introducing mobile three-dimensional convolution to a vision transformer for hyperspectral image classification

  Author: Zhou, Xinyao; Zhou, Wenzuo; Fu, Xiaoli; Hu, Yichen; Liu, Jinlian

• A scalable software package for time series reconstruction of remote sensing datasets on the Google Earth Engine platform

  Author: Zhou, Jie; Menenti, Massimo; Jia, Li; Gao, Bo; Zhao, Feng; Cui, Yilin; Xiong, Xuqian; Liu, Xuan; Li, Dengchao

• A robust discretization method of factor screening for landslide susceptibility mapping using convolution neural network, random forest, and logistic regression models

  Author: Zhao, Zheng; Chen, Jianhua

英文介紹

International Journal Of Digital Earth雜志英文介紹

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.