Journal Abbreviation: J. Geogr. Cartogr. | Journal of Geography and Cartography (JGC) is an international open access academic journal with a rigorous peer review process. We are interested in scientific topics from all fields of geography and cartography. Our ultimate goal is to make the journal a platform of global academic sources for high-quality geo-papers. JGC publishes original research articles, review articles, editorials, case reports, brief commentaries, perspectives, etc. Examples of relevant topics include but are not limited to: 1. Human geography and urban-rural planning 8. Geophysics 2. Geography science 9. Environment science 3. Geochemistry 10. Geographic information system 4. Natural geography 11. Cartography 5. Plant geography 12. Remote sensing technique 6. Hydrology 13. Geography teaching theory 7. Soil geography 14. Man-land relationship by analyzing and mapping geographic phenomena
|
Online Submissions
Registration and login are required to submit items online and to check the status of current submissions.
Already have a Username/Password for Journal of Geography and Cartography?
GO TO LOGIN
Need a Username/Password?
GO TO REGISTRATION
Submission Preparation Checklist
As part of the submission process, authors are required to check off their submission's compliance with all of the following items, and submissions may be returned to authors that do not adhere to these guidelines.
- The submission has not been previously published, nor is it under the consideration of another journal (or an explanation has been provided in Comments to the Editor).
- The submission file is in Microsoft Word format.
- Where available, URLs for the references have been provided.
- The text adheres to the stylistic and bibliographic requirements outlined in the Author Guidelines, which is found in About the Journal.
- If submitting to a peer-reviewed section of the journal, the instructions in Ensuring a Blind Review have been followed.
Privacy Statement
EnPress Publisher respects and strives to protect the privacy of its users and visitors. Hence, users and visitors are encouraged to read EnPress Publisher’s privacy policy regarding the usage and handling of user information.
(1) User information
Names and email addresses entered in all EnPress Publisher’s journal sites will be used exclusively for the stated purposes of the journals and will not be made available for any other purpose or to any other party. For submission and peer review, users should register an account for further procedures, including but not limited to name, email, address, interests, affiliation, and postcode, as editors need the information to complete in-house processes (e.g., processing a manuscript).
When users visit the publisher's website, information about the visit is saved in web logs (e.g., device, IP address, time of visit, etc.), which are only used to help improve the structure and content of the website.
(2) User rights
Users have the right to register or update their personal information and contact the publisher to cancel/delete their account if required.
(3) Third-party link
EnPress Publisher is not responsible for private information obtained by third-party websites when users log in via a pop-up screen from third-party software installed on their computer.
When users visit third-party platforms (e.g., LinkedIn, Twitter, COPE, etc.) through hyperlinks from EnPress Publisher’s journal websites, the privacy policy follows the policies of the third-party platforms.
(4) Queries or contact
For any queries about EnPress Publisher’s privacy policy, please contact the editorial office at editorial@enpress-publisher.com.
Article Processing Charges (APCs)
Journal of Geography and Cartography is an Open Access Journal under EnPress Publisher. All articles published in Journal of Geography and Cartography are accessible electronically from the journal website without commencing any kind of payment. In order to ensure contents are freely available and maintain publishing quality, Article Process Charges (APCs) are applicable to all authors who wish to submit their articles to the journal to cover the cost incurred in processing the manuscripts. Such cost will cover the peer-review, copyediting, typesetting, publishing, content depositing and archiving processes. Those charges are applicable only to authors who have their manuscript successfully accepted after peer-review.
Journal Title | APCs |
---|---|
Journal of Geography and Cartography | $500 |
We encourage authors to publish their papers with us and don’t wish the cost of article processing fees to be a barrier especially to authors from the low and lower middle income countries/regions. A range of discounts or waivers are offered to authors who are unable to pay our publication processing fees. Authors can write in to apply for a waiver and requests will be considered on a case-by-case basis.
*Article No. is mandatory for payment and it can be found on the acceptance letter issued by the Editorial Office. Payment without indicating Article No. will result in processing problem and delay in article processing. Please note that payments will be processed in USD. You can make payment through Masters, Visa or UnionPay card.
Vol 8, No 2 (2025)
Table of Contents
Creating a crop type map is a dominant yet complicated model to produce. This study aims to determine the best model to identify the wheat crop in the Haridwar district, Uttarakhand, India, by presenting a novel approach using machine learning techniques for time series data derived from the Sentinel-2 satellite spanned from mid-November to April. The proposed methodology combines the Normalized Difference Vegetation Index (NDVI), satellite bands like red, green, blue, and NIR, feature extraction, and classification algorithms to capture crop growth's temporal dynamics effectively. Three models, Random Forest, Convolutional Neural Networks, and Support Vector Machine, were compared to obtain the start of season (SOS). It is validated and evaluated using the performance metrics. Further, Random Forest stood out as the best model statistically and spatially for phenology parameter extraction with the least RMSE value at 19 days. CNN and Random Forest models were used to classify wheat crops by combining SOS, blue, green, red, NIR bands, and NDVI. Random Forest produces a more accurate wheat map with an accuracy of 69% and 0.5 MeanIoU. It was observed that CNN is not able to distinguish between wheat and other crops. The result revealed that incorporating the Sentinel-2 satellite data bearing a high spatial and temporal resolution with supervised machine-learning models and crop phenology metrics can empower the crop type classification process.
Announcements
Congratulations to our Editorial Board Member Prof. Danfeng Hong, on Being Recognized as a 2024 Highly Cited Award Recipient by Clarivate Analytics |
|
![]() |
|
Posted: 2024-12-09 | More... |
Welcome to the two Co-Editors-in-Chief! |
|
We are pleased to announce that Prof. Yanfang Sang and Prof. Jorge Olcina-Cantos have been appointed as Co-Editors-in-Chief of this journal. ![]() |
|
Posted: 2024-02-24 | More... |
JGC will been indexed by GeoRef database! |
|
![]() |
|
Posted: 2024-02-19 | More... |
More Announcements... |