VIETNAM JOURNAL OF EARTH SCIENCES

Aims and scope

Vietnam Journal of Earth Sciences is a peer-reviewed journal sponsored by Vietnam Academy of Science and Technology to publish high-quality original and review articles on the entire range of Earth Sciences, focused on Vietnam and Asia Pacific region, and their correlations and connections on the globe. The journal publishes on fundamental and applied research in Earth Sciences, including geology, geophysics, geography, hydrology, meteorology, oceanography, petroleum, geohazards, environmental geosciences and sustainable development, geoinformatics, geodesy, GIS and remote sensing.

Statement Publication Ethics and Publication Malpractice

Our publication ethics and publication malpractice statement are based on the Code of Conduct and Best Practice Guidelines for Journal Editors and the Code of Conduct for Journal Publishers (Committee on Publication Ethics). All articles published by the Vietnam Journal of Earth Sciences VJES are committed to publishing only original. The authors warrant that the manuscript has neither been published previously nor is currently being considered for publication elsewhere. The authors warrant also that the manuscript will not be sent to another journal while it is being reviewed. Extensive self-citation, plagiarism, self-plagiarism or any other fraudulent practices are not acceptable in the Vietnam Journal of Earth Sciences. VJES accept self-citation only in the exceptional case. VJES uses the iThenticate CrossCheck to detect instances of overlapping and similar text in submitted manuscripts.

Announcements


NOTE 2 - 2020
Call for paper: Special Issue Technological Innovation and Advanced Machine Learning for Geo-Information Science A special issue of Vietnam Journal of Earth Sciences, (ISSN: 0866-7187; 2615-9783). Vietnam Journal of Earth Sciences (VJES) is a peer-reviewed and open-access journal, free of charge for authors, sponsored by the Vietnam Academy of Science and Technology (VAST), Vietnam. - VJES is indexed Emerging Sources Citation Index (ESCI) of the Web of Science Core Collection. - VJES is also indexed in Google Scholar, NRSJ (Norway), Crossref; GeoRef (American Geosciences Institute); VCG; Scilit (Switzerland); Copernicus International; Asean Citation Index; CiteFactor Deadline for manuscript submissions: 30 June 2021 1. Special Issue Editors Prof. Dieu Tien Bui Website Guest Editor GIS Group, Department of Business and IT, University of South-Eastern Norway, Gullbringvegen 36, N-3800 Bø i Telemark, Norway. Interests: Technological Innovation; UAV; LiDAR; remote sensing; GIS; cartography; geo-hazards, artificial intelligence, environmental management. E-mail: dieu.t.bui@usn.no Dr. José Lázaro Amaro-Mellado Website Guest Editor Department of Graphic Engineering, University of Seville, 41092, Seville, Spain Interests: Technological Innovation; GIS; earthquake; seismic; cartography; environmental hazard. E-mail: jamaro@us.es Dr. Thu Trang Le Website Guest Editor Laboratoire Magmas et Volcans, Université Clermont Auvergne, F-63000 Clermont-Ferrand, France Department of Photogrammetry and Remote Sensing, Hanoi University of Mining and Geology, 18 Vien Street, Hanoi, Vietnam. Interests: Multivariate SAR image processing; information extraction and fusion from remote sensing data; GIS; natural hazards. E-mail: thu_trang.le@uca.fr; lethutrang@humg.edu.vn Assoc.Prof. Quang Thanh Bui Website Guest Editor Center for Applied Research in Remote Sensing and GIS (CARGIS), Faculty of Geography, VNU University of Science, Hanoi, Vietnam. Interests: Technological Innovation; natural resource management; remote sensing; artificial intelligence; environmental hazard. E-mail: thanhbq@vnu.edu.vn Dr. Nhat-Duc Hoang Website Guest Editor Faculty of Civil Engineering, Duy Tan University, Da Nang, Vietnam. Interests: Civil engineering; technological innovation; artificial intelligence; metaheuristics optimization. E-mail: hoangnhatduc@duytan.edu.vn Dr. Viet-Ha Nhu Website Guest Editor Department of Geological-Geotechnical Engineering, Hanoi University of Mining and Geology, Hanoi, Viet Nam. Interests: Geo-hazards; GIS and geospatial technology; geotechnical engineering; artificial intelligence; data mining. E-mail: nhuvietha@humg.edu.vn Dr. Luyen Bui Website Guest Editor School of Earth and Planetary Sciences, Curtin University, WA, Australia. Faculty of Geomatics and Land Administration, Hanoi University of Mining and Geology, Hanoi, Vietnam. Interests: InSAR, Environmental Geodesy, Machine Learning. E-mail: buikhacluyen@humg.edu.vn Assoc. Prof. Duc-Tan Tran Website Guest Editor Faculty of Electrical and Electronic Engineering, Phenikaa University, Hanoi, Vietnam. Interests: Signal processing; smart sensing; wireless sensor networks, IoT applications. E-mail: tan.tranduc@phenikaa-uni.edu.vn 2. Special Issue Information Dear Colleagues, Earth science encompasses a broad spectrum, which includes geology, oceanography, meteorology, and astronomy. Geo-information science, which is an advanced domain of earth science, has explosive developments in recent years, where advanced geospatial technologies, novel artificial intelligence, and technological innovations have provided new ways to analyze and process geo-information data to obtain valuable insights. As a result, innovative and efficient solutions could be developed, and some have proven their efficiency in engineering problems, natural resource management, climate changes, and natural disaster mitigation. In this Special Issue, we warmly invite researchers to submit their contributions, focusing on technological innovation, advanced geospatial technologies, and novel machine learning and metaheuristic optimization for geo-information science. We are looking for submissions on, but not limited to, the following topics: Machine learning, metaheuristic optimization, and technological innovations for civil engineering, geotechnical engineering, and geological exploration Application of sensors, electronics, telecommunication, wireless sensor networks, internet of things, and smart systems in Earth sciences Novel methods and techniques for time series forecasting and anomaly detection in Earth sciences, i.e., hydropower dam and marine anomaly. Geospatial data science, cartography, map production, geo-visualization, land survey, GNSS, and location-based service. Ensemble learning and transfer learning approaches in Earth sciences. GIS-based decision support systems, GIS for policy, management, and service of humanity. Real-life case studies in Earth science and engineering projects with findings of definite interest to the scientific community. Remotely sensed image segmentation and classification with deep convolutional neural networks and their applications in Earth sciences. Recent advances in geospatial technology, data mining, and artificial intelligence for natural hazard and environmental problems, i.e., seismic, earthquake, landslide, land subsidence, soil salinity, erosion, groundwater, flood, flash flood, fluvial and coastal floods, forest fire, and air quality. Remote Sensing, LiDAR, UAV/drone photogrammetry, image processing, and their application in Earth sciences. Finally, authors are encouraged to share codes and data so that their studies are easily reproducible and serve as the seeds for future improvements. We look forward to receiving your submissions in this interesting area of specialization. Prof. Dieu Tien Bui Dr. José Lázaro Amaro-Mellado Dr. Le Thu Trang Assoc. Prof. Quang Thanh Bui Dr. Nhat-Duc Hoang Dr. Viet-Ha Nhu Dr. Bui Khac Luyen Assoc. Prof. Tran Duc Tan *Guest Editors* 3. Manuscript Submission Information Please visit the Instructions for Authors page before submitting a manuscript. Manuscripts should be submitted online at http://vjs.ac.vn by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts could be submitted until the deadline. All manuscripts will be peer-reviewed through the double-blind peer-review process. Accepted manuscripts will be published continuously in the journal as soon as they have been accepted, and will be listed together on the Special issue website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere. Free of charge for authors is applied for all publications. Submitted papers should be well formatted and use good English. You can download more information about the special issue here.
Posted: 2020-06-18

NOTICE 1 - 2020
We are happy that the Vietnam Journal of Earth Sciences has been included in the Web of Sciences as Emerging Sources Citation Index (ESCI). We would like to express our deep gratitude to all editorial board members and authors of VJES. On this occasion, we cordially invite scientists to submit high-quality articles to our journal. Please share this news with your colleagues and friends. https://mjl.clarivate.com:/search-results?issn=0866-7187&hide_exact_match_fl=true&utm_source=mjl&utm_medium=share-by-link&utm_campaign=search-results-share-this-journal
Posted: 2020-04-21

NOTICE 2-2019
Call for paper: Special Issues “Data mining in Earth Sciences” Data mining has been widely used to solve a lot of problems in Earth Sciences such as geo-hazards assessment and prediction, groundwater quality and potential prediction, land use-land cover detection, etc. Nowadays, with the emergence of new technologies such as GIS, remote sensing, automation, smart equipment like mobile phone, a huge amount of data is being generated in Earth Sciences, which creates challenges on how to analyze this data to discover the useful knowledge for solving real-world problems. In recent years, new advanced techniques like Artificial Intelligence - AI (Machine learning and deep learning) have been developed and applied effectively in data mining of many earth sciences problems such as geo-environmental and geotechnical problems. Many new hybrid and advanced AI techniques are being proposed. Development and application of these techniques in data mining of Earth Sciences are required with new case studies. The main objective of the special issue is to collect state-of-the-art research findings on the latest developments and challenges in the field of data mining for earth sciences. High-quality original research papers that present theoretical frameworks, methodologies, and application o case studies from a single- or cross-country perspective are welcome, as well as review articles. Potential topics of interest include but are not limited to the following: ● Data mining techniques, including classification, association, outlier detection, clustering, regression, and prediction, for decision-making, used in Earth Sciences ● Cutting-edge data mining methods, such as machine learning and deep learning for data mining in Earth Sciences ● Real-world problems in Earth Sciences such as geohazards (landslides, floods, and earthquakes), forest fire, groundwater quality and potential assessment, geo-environmental and geotechnical problems, land use/land cover detection, and any Earth Sciences related problems. Guest Editors Lead Guest Editor: Binh Thai Pham, University of Transport Technology, email: binhpt@utt.edu.vn Guest Editors Hai-Bang Ly, University of Transport Technology, email: banglh@utt.edu.vn Chong Chong Qi, Central South University, email: chongchong.qi@gmail.com Abolfazl Jaafari, Research Institute of Forests and Rangelands, email: jaafari@rifr-ac.ir Ataollah Shirzadi, University of Kurdistan, email: a.shirzadi@uok.ac.ir Submitted deadline: 30 April 2020.
Posted: 2019-10-09