Geo-Spatial Information Science
Published by Taylor & Francis
ISSN : 1009-5020
Abbreviation : Geo-spatial Inf. Sci.
Aims & Scope
Geo-spatial Information Science was founded in 1998 by Wuhan University, and is now published in partnership with Taylor & Francis.
The journal publishes high quality research on the application and development of surveying and mapping technology, including photogrammetry, remote sensing, geographical information systems, cartography, engineering surveying, GPS, geodesy, geomatics, geophysics, and other related fields.
The journal particularly encourages papers on innovative applications and theories in the fields above, or of an interdisciplinary nature.
In addition to serving as a source reference and archive of advancements in these disciplines, Geo-spatial Information Science aims to provide a platform for communication between researchers and professionals concerned with the topics above.
The editorial committee of the journal consists of 21 professors and research scientists from different regions and countries, such as America, Germany, Switzerland, Austria, Hong Kong and China.
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 5.5 |
Journal Rank
Year | Value |
---|---|
2024 | 2984 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 1047 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 1.326 |
Quartile
Year | Value |
---|---|
2024 | Q1 |
h-index
Year | Value |
---|---|
2024 | 49 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Earth and Planetary Sciences and Social 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 Earth and Planetary Sciences and Social 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 2,195.00 USD. 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.
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Earth observation in service of the 2030 Agenda for Sustainable Development
Citation: 307
Authors: Katherine, Barbara, William, Argyro, Lawrence
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The GWmodel R package: further topics for exploring spatial heterogeneity using geographically weighted models
Citation: 224
Authors: Binbin, Paul, Martin, Chris
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Urban sprawl and its impact on sustainable urban development: a combination of remote sensing and social media data
Citation: 196
Authors: Zhenfeng, Neema S., Aleksei, Fanan, Walter, Paulo J.
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Deep learning for change detection in remote sensing: a review
Citation: 187
Authors: Ting, Le, Dameng, Kaimin, Yepei, Wenzhuo, Deren
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Mapping of cropland, cropping patterns and crop types by combining optical remote sensing images with decision tree classifier and random forest
Citation: 149
Authors: Aqil, Jianguo, Alexandre S., Mobushir, Faisal
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A review of remote sensing applications for oil palm studies
Citation: 140
Authors: Khai Loong, Kasturi Devi, Christine, Kian Pang
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Land cover classification from remote sensing images based on multi-scale fully convolutional network
Citation: 118
Authors: Rui, Shunyi, Chenxi, Libo, Ce
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Comparison of surface water extraction performances of different classic water indices using OLI and TM imageries in different situations
Citation: 115
Authors: Ke, Xiaoqing, Yuanwei, Peipei