International Journal of Digital Earth

Aims & Scope

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.

Metrics & Ranking

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)
• Web of Science

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Earth and Planetary Sciences, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Plagiarism url
• Preservation url
• Apc url
• License

Plagiarism Policy

This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.

For more details, please refer to our official: Plagiarism Policy.

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Computer Science and Earth and Planetary Sciences, ensuring accessibility and quality in research dissemination.

This journal requires an Article Processing Charge (APC) to support open access publishing, covering peer review, editing, and distribution. The current APC is 4,165.00 AUD. Learn more.

Explore journals without APCs for alternative publishing options.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Crowdsourcing geographic information for disaster response: a research frontier

  Citation: 668

  Authors: Michael F., J. Alan

• Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error

  Citation: 642

  Authors: Joseph O., Xiao-Peng, Min, Praveen, Anupam, Chengquan, Do-Hyung, Kathrine M., Saurabh, Charlene, John R.

• A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems

  Citation: 632

  Authors: Dengsheng, Qi, Guangxing, Lijuan, Guiying, Emilio

• Big Data and cloud computing: innovation opportunities and challenges

  Citation: 607

  Authors: Chaowei, Qunying, Zhenlong, Kai, Fei

• A long-term Global LAnd Surface Satellite (GLASS) data-set for environmental studies

  Citation: 451

  Authors: Shunlin, Xiang, Suhong, Wenping, Xiao, Zhiqiang, Xiaotong, Qiang, Jie, Hairong, Yonghua, Yancheng, Ying, Huazhong, Kai, John

• A new global raster water mask at 250 m resolution

  Citation: 313

  Authors: M.L., J.R., C.M., P., R.A.

• A global, high-resolution (30-m) inland water body dataset for 2000: first results of a topographic–spectral classification algorithm

  Citation: 284

  Authors: Min, Joseph O., Saurabh, John R.

• Spatial cloud computing: how can the geospatial sciences use and help shape cloud computing?

  Citation: 273

  Authors: Chaowei, Michael, Qunying, Doug, Robert, Yan, Myra, Daniel

• Global characterization and monitoring of forest cover using Landsat data: opportunities and challenges

  Citation: 259

  Authors: John R., Jeffrey G., Chengquan, Eric F., Feng, Saurabh, Joseph O., Min, Raghuram, Dohyung, Kuan, Danxia, Xiao-Peng, Praveen, Bin, Matthew C., Mengxue, Robert E.

• Digital Earth 2020: towards the vision for the next decade

  Citation: 228

  Authors: Max, Kees, Davina, Martino, Gábor, Changlin, Alessandro, Ling, Fred, Manfred, John, Michael, Huadong, Anthony, Richard, Andrew, Peter