Perkembangan Pemanfaatan Geographic Information System (GIS) dalam Maritime Surveillance: Analisis Bibliometrik dan Systematic Literature Review
Bilah Samping Artikel
Isi Artikel Utama
Abstrak
Perkembangan teknologi geospasial telah mendorong pemanfaatan Geographic Information System (GIS) sebagai salah satu teknologi utama dalam mendukung maritime surveillance. Namun demikian, penelitian mengenai GIS dalam domain maritim masih berkembang secara terfragmentasi sehingga belum tersedia pemetaan yang komprehensif mengenai struktur intelektual, tren penelitian, serta arah pengembangannya. Penelitian ini bertujuan memetakan perkembangan penelitian GIS dalam maritime surveillance melalui pendekatan Systematic Literature Review (SLR) yang dipadukan dengan bibliometric analysis. Proses seleksi literatur mengikuti pedoman PRISMA 2020 terhadap artikel yang diperoleh dari basis data Scopus periode 2016–2026. Dari 370 artikel yang teridentifikasi, sebanyak 99 artikel memenuhi kriteria inklusi dan dianalisis menggunakan VOSviewer melalui network, overlay, dan density visualization, kemudian disintesis menggunakan content analysis. Hasil penelitian menunjukkan bahwa Geographic Information System merupakan tema sentral yang memiliki keterhubungan paling kuat dengan Remote Sensing, Oil Spill, Monitoring, Coastal Management, dan Risk Assessment. Analisis temporal menunjukkan pergeseran penelitian dari pemetaan wilayah pesisir menuju pemanfaatan penginderaan jauh, kemudian berkembang ke penerapan Artificial Intelligence, Machine Learning, dan Deep Learning sebagai pendekatan analitik baru. Content analysis mengidentifikasi enam tema utama penelitian, dengan dominasi kajian mengenai Coastal Management dan Oil Spill Monitoring, sedangkan integrasi kecerdasan buatan masih relatif terbatas. Sintesis hasil penelitian menunjukkan bahwa perkembangan GIS dalam maritime surveillance berlangsung melalui tiga fase, yaitu pemetaan wilayah pesisir, integrasi GIS dan Remote Sensing, serta integrasi GIS dan Artificial Intelligence. Temuan ini menunjukkan bahwa peluang penelitian selanjutnya terletak pada pengembangan sistem maritime surveillance yang lebih adaptif melalui integrasi GIS dengan teknologi analitik cerdas dan sistem pendukung keputusan berbasis data.
Rincian Artikel
Bagian
Cara Mengutip
Referensi
Aattan, S. A. A., & Al-Bakri, M. (2020). Development of Bridges Maintenance Management System based on Geographic Information System Techniques (Case study: Al-Muthanna Iraq). Journal of Engineering. https://doi.org/10.31026/j.eng.2020.09.09
Agrawal, N., Verma, K., & Kumar, T. (2021). Multicriteria Spatial Decision Support System for Soil Fertility Assessment in Agriculture. International Journal of Computer Applications. https://doi.org/10.5120/ijca2021920975
Agyekum, H., Ali, K.-D., Bueger, C., & Larsen, S. (2024). Maritime security and the inter-agency challenge: The case of Ghana. African Security Review, 33, 353–370. https://doi.org/10.1080/10246029.2024.2314467
Akhtar, M. J., Azhar, M., Khan, N., & Rahman, M. N. (2023). Conceptualizing social media analytics in digital economy: An evidence from bibliometric analysis. Journal of Digital Economy. https://doi.org/10.1016/j.jdec.2023.03.004
Alexandre, C., Devillers, R., Mouillot, D., Seguin, R., & Catry, T. (2024). Ship Detection With SAR C-Band Satellite Images: A Systematic Review. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 14353–14367. https://doi.org/10.1109/jstars.2024.3437187
Amiri, A. M., Kushwaha, B., & Singh, R. (2023). Visualisation of global research trends and future research directions of digital marketing in small and medium enterprises using bibliometric analysis. Journal of Small Business and Enterprise Development. https://doi.org/10.1108/jsbed-04-2022-0206
Andriulo, F. C., Fiore, M., Mongiello, M., Traversa, E., & Zizzo, V. (2024). Edge Computing and Cloud Computing for Internet of Things: A Review. Informatics, 11, 71. https://doi.org/10.3390/informatics11040071
Anuja, R., & Annrose, J. (2025). End-to-end deep learning for smart maritime threat detection: an AE–CNN–LSTM-based approach. Scientific Reports, 15. https://doi.org/10.1038/s41598-025-19450-4
Apostolopoulos, D. N., & Nikolakopoulos, K. (2021). A review and meta-analysis of remote sensing data, GIS methods, materials and indices used for monitoring the coastline evolution over the last twenty years. European Journal of Remote Sensing, 54, 240 - 265. https://doi.org/10.1080/22797254.2021.1904293
Ardern, C., Büttner, F., Andrade, R., Weir, A., Ashe, M., Holden, S., Impellizzeri, F., Delahunt, E., Dijkstra, H., Mathieson, S., Rathleff, M., Reurink, G., Sherrington, C., Stamatakis, E., Vicenzino, B., Whittaker, J. L., Wright, A., Clarke, M., Moher, D., . . . Winters, M. (2021). Implementing the 27 PRISMA 2020 Statement items for systematic reviews in the sport and exercise medicine, musculoskeletal rehabilitation and sports science fields: the PERSiST (implementing Prisma in Exercise, Rehabilitation, Sport medicine and SporTs science) guidance. British Journal of Sports Medicine, 56, 175 - 195. https://doi.org/10.1136/bjsports-2021-103987
Asif, Z., Chen, Z., An, C., & Dong, J. (2022). Environmental Impacts and Challenges Associated with Oil Spills on Shorelines. Journal of Marine Science and Engineering. https://doi.org/10.3390/jmse10060762
Ba, H., Zhang, L., He, X., & Li, S. (2025). Knowledge Mapping and Global Trends in Simulation in Medical Education: Bibliometric and Visual Analysis. JMIR Medical Education, 11. https://doi.org/10.2196/71844
Bae, I., & Hong, J. (2023). Survey on the Developments of Unmanned Marine Vehicles: Intelligence and Cooperation. Sensors (Basel, Switzerland), 23. https://doi.org/10.3390/s23104643
Baghdady, S. M., & Abdelsalam, A. A. (2024). Ten years of oil pollution detection in the Eastern Mediterranean shipping lanes opposite the Egyptian coast using remote sensing techniques. Scientific Reports, 14. https://doi.org/10.1038/s41598-024-67983-x
Bakirci, M. (2024). Advanced Ship Detection and Ocean Monitoring with Satellite Imagery and Deep Learning for Marine Science Applications. Regional Studies in Marine Science. https://doi.org/10.1016/j.rsma.2024.103975
Balogun, A., Yekeen, S., Pradhan, B., & Yusof, W. K. (2020). Oil spill trajectory modelling and environmental vulnerability mapping using GNOME model and GIS.. Environmental pollution, 115812 . https://doi.org/10.1016/j.envpol.2020.115812
Balogun, A., Yekeen, S., Pradhan, B., & Yusof, W. K. (2020). Oil spill trajectory modelling and environmental vulnerability mapping using GNOME model and GIS. Environmental Pollution, 115812. https://doi.org/10.1016/j.envpol.2020.115812
Barros, R. P., Fajardo, A., & Lara-Borrero, J. (2025). Decentralized Renewable-Energy Desalination: Emerging Trends and Global Research Frontiers—A Comprehensive Bibliometric Review. Water. https://doi.org/10.3390/w17142054
Bernabé, P., Gotlieb, A., Legeard, B., Marijan, D., Sem-Jacobsen, F., & Spieker, H. (2023). Detecting Intentional AIS Shutdown in Open Sea Maritime Surveillance Using Self-Supervised Deep Learning. IEEE Transactions on Intelligent Transportation Systems, 25, 1166-1177. https://doi.org/10.1109/tits.2023.3322690
Boloy, R., Da Cunha Reis, A., Rios, E. M., De Araújo Santos Martins, J., Soares, L., De Sá Machado, V. A., & De Moraes, D. R. (2021). Waste-to-Energy Technologies Towards Circular Economy: a Systematic Literature Review and Bibliometric Analysis. Water, Air, & Soil Pollution, 232, 1-25. https://doi.org/10.1007/s11270-021-05224-x
Bosso, L., Saviano, S., Abagnale, M., Bellardini, D., Bolinesi, F., Botte, V., Buondonno, A., Carotenuto, Y., Casotti, R., Chiusano, M., Cipolletta, F., Conversano, F., De Domenico, F., Del Gaizo, G., Donnarumma, V., Furia, M., Iudicone, D., Kokoszka, F., Laface, F., . . . D’Alelio, D. (2025). GIS-based integration of marine data for assessment and management of a highly anthropized coastal area. Scientific Reports, 15. https://doi.org/10.1038/s41598-025-00206-z
Brennan, S., & Munn, Z. (2021). PRISMA 2020: a reporting guideline for the next generation of systematic reviews.. JBI evidence synthesis, 19 5, 906-908 . https://doi.org/10.11124/jbies-21-00112
Bueger, C., & Stockbruegger, J. (2022). Maritime security and the Western Indian Ocean’s militarisation dilemma. African Security Review, 31, 195 - 210. https://doi.org/10.1080/10246029.2022.2053556
Buri, Z., & Kiss, J. T. (2025). Digitalisation in the Context of Industry 4.0 and Industry 5.0: A Bibliometric Literature Review and Visualisation. Applied System Innovation. https://doi.org/10.3390/asi8050137
Carpenter-Kling, T., Truter, H., Lemahieu, A., Snow, B., Strand, M., Rivers, N., Nupnau, L., & Lombard, A. T. (2025). Scenario planning from the bottom up: supporting inclusive and ecosystem-based approaches to marine spatial planning. npj Ocean Sustainability, 4. https://doi.org/10.1038/s44183-025-00140-7
Cavalli, R. (2024). Remote Data for Mapping and Monitoring Coastal Phenomena and Parameters: A Systematic Review. Remote. Sens., 16, 446. https://doi.org/10.3390/rs16030446
Chaal, M., Ren, X., Bahootoroody, A., Basnet, S., Bolbot, V., Banda, O. V., & Van Gelder, P. (2023). Research on risk, safety, and reliability of autonomous ships: A bibliometric review. Safety Science. https://doi.org/10.1016/j.ssci.2023.106256
Chainando, N., Martawidjaja, M., Darius, R. A., Yahya, L. C., Yemima, S., Tan, W. S., Harito, C., Chandra, R. C., Andhini, G. K., Putra, K. B., Tobing, C. C. L., Syafi’i, M., & Syafrudin, M. (2025). Applying 3D Scanning and Printing Techniques to Produce Upper Limb Prostheses: Bibliometric Analysis and Scoping Review. Prosthesis. https://doi.org/10.3390/prosthesis7020026
Chang, C.-H., Kontovas, C. A., Yu, Q., & Yang, Z. (2021). Risk assessment of the operations of maritime autonomous surface ships. Reliab. Eng. Syst. Saf., 207, 107324. https://doi.org/10.1016/j.ress.2020.107324
Chipunza, T., & Ntsalaze, L. (2025). Multi-dimensional poverty: a bibliometric analysis and content co-occurrence literature review. Humanities and Social Sciences Communications, 12. https://doi.org/10.1057/s41599-025-04924-7
Christofi, D., Mettas, C., Evagorou, E., Stylianou, N., Eliades, M., Theocharidis, C., Chatzipavlis, A. E., Hasiotis, T., & Hadjimitsis, D. (2025). A Review of Open Remote Sensing Data with GIS, AI, and UAV Support for Shoreline Detection and Coastal Erosion Monitoring. Applied Sciences. https://doi.org/10.3390/app15094771
Christofi, D., Mettas, C., Evagorou, E., Stylianou, N., Eliades, M., Theocharidis, C., Chatzipavlis, A. E., Hasiotis, T., & Hadjimitsis, D. (2025). A Review of Open Remote Sensing Data with GIS, AI, and UAV Support for Shoreline Detection and Coastal Erosion Monitoring. Applied Sciences. https://doi.org/10.3390/app15094771
Couto, J., & Baltazar, M. E. (2025). Sustainable Airport Development: A Literature Review Based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses Methodology, Using OpenAlex Database. Sustainability. https://doi.org/10.3390/su17094184
De Magalhães, M. E., Barbosa, C. E., Cordeiro, K. F., Isidorio, D., & Souza, J. (2023). Improving Maritime Domain Awareness in Brazil through Computer Vision Technology. Journal of Marine Science and Engineering. https://doi.org/10.3390/jmse11071272
Dike, E., Oyetunji, A., & Amaechi, C. (2023). Shoreline Delineation from Synthetic Aperture Radar (SAR) Imagery for High and Low Tidal States in Data-Deficient Niger Delta Region. Journal of Marine Science and Engineering. https://doi.org/10.3390/jmse11081528
Dima, A., Zamfir, A., Dobrin, C., Triculescu, M., Mișu, S., & Pantelimon, A. D. (2026). Women's Leadership as a Driver of Small and Medium‐Sized Enterprises Sustainability and Green Transition: A Bibliometric and Systematic Review. Corporate Social Responsibility and Environmental Management. https://doi.org/10.1002/csr.70756
Ding, G., Liu, J., Li, D., Fu, X., Zhou, Y., Zhang, M., Li, W., Wang, Y., Li, C., & Geng, X. (2025). A Cross-Stage Focused Small Object Detection Network for Unmanned Aerial Vehicle Assisted Maritime Applications. Journal of Marine Science and Engineering. https://doi.org/10.3390/jmse13010082
Dong, J., Liang, X., Du, B., Ju, Y., Wang, Y., & Guo, H. (2025). Applications of Geographic Information Systems in Ecological Impact Assessment: A Methods Landscape, Practical Bottlenecks, and Future Pathways. Sustainability. https://doi.org/10.3390/su172210358
Dong, P., Liu, J., Tao, H., Zhao, Y., Feng, Z., & Luo, H. (2025). Long-Endurance Collaborative Search and Rescue Based on Maritime Unmanned Systems and Deep-Reinforcement Learning. Sensors (Basel, Switzerland), 25. https://doi.org/10.3390/s25134025
Dritsas, E., & Trigka, M. (2025). Remote Sensing and Geospatial Analysis in the Big Data Era: A Survey. Remote Sensing. https://doi.org/10.3390/rs17030550
Du, Q., Zhao, R., Wan, Q., Li, S., Li, H., Wang, D., Ho, C. W., Dai, Z., Chen, Y., & Shan, D. (2024). Protocol for conducting bibliometric analysis in biomedicine and related research using CiteSpace and VOSviewer software. STAR Protocols, 5. https://doi.org/10.1016/j.xpro.2024.103269
Du, Q., Zhao, R., Wan, Q., Li, S., Li, H., Wang, D., Ho, C. W., Dai, Z., Chen, Y., & Shan, D. (2024). Protocol for conducting bibliometric analysis in biomedicine and related research using CiteSpace and VOSviewer software. STAR Protocols, 5. https://doi.org/10.1016/j.xpro.2024.103269
Du, Q., Zhao, R., Wan, Q., Li, S., Li, H., Wang, D., Ho, C. W., Dai, Z., Chen, Y., & Shan, D. (2024). Protocol for conducting bibliometric analysis in biomedicine and related research using CiteSpace and VOSviewer software. STAR Protocols, 5. https://doi.org/10.1016/j.xpro.2024.103269
Dupont, C., Gourmelon, F., Meur-Férec, C., Herpers, F., & Visage, C. L. (2020). Exploring uses of maritime surveillance data for marine spatial planning: A review of scientific literature. Marine Policy, 117, 103930. https://doi.org/10.1016/j.marpol.2020.103930
Dupont, C., Gourmelon, F., Meur-Férec, C., Herpers, F., & Visage, C. L. (2020). Exploring uses of maritime surveillance data for marine spatial planning: A review of scientific literature. Marine Policy, 117, 103930. https://doi.org/10.1016/j.marpol.2020.103930
Durlik, I., Miller, T., Cembrowska-Lech, D., Krzemińska, A., Złoczowska, E., & Nowak, A. (2023). Navigating the Sea of Data: A Comprehensive Review on Data Analysis in Maritime IoT Applications. Applied Sciences. https://doi.org/10.3390/app13179742
Edwards, S. (2022). Fragmentation, Complexity and Cooperation: Understanding Southeast Asia's Maritime Security Governance. Contemporary Southeast Asia: A Journal of International and Strategic Affairs, 44, 121 - 87. https://doi.org/10.1355/cs44-1d
El-Magd, I., Zakzouk, M., Ali, E., & Abdulaziz, A. M. (2021). An Open Source Approach for Near-Real Time Mapping of Oil Spills along the Mediterranean Coast of Egypt. Remote. Sens., 13, 2733. https://doi.org/10.3390/rs13142733
Elsman, E., Mokkink, L., Terwee, C., Beaton, D., Gagnier, J. J., Tricco, A. C., Baba, A., Butcher, N. J., Smith, M., Hofstetter, C., Aiyegbusi, O., Berardi, A., Farmer, J., Haywood, K. L., Krause, K., Markham, S., Mayo-Wilson, E., Mehdipour, A., Ricketts, J., . . . Offringa, M. (2024). Guideline for reporting systematic reviews of outcome measurement instruments (OMIs): PRISMA-COSMIN for OMIs 2024. Health and Quality of Life Outcomes, 22. https://doi.org/10.1186/s12955-024-02256-9
Escandón-Panchana, J., Vallejo, R. E., Escandón-Panchana, P., Velástegui-Montoya, A., & Herrera-Franco, G. (2022). Spatial Planning of the Coastal Marine Socioecological System—Case Study: Punta Carnero, Ecuador. Resources. https://doi.org/10.3390/resources11080074
Ezzeddini, L., Ktari, J., Frikha, T., Alsharabi, N., Alayba, A., Alzahrani, A. J., Jadi, A., Alkholidi, A., & Hamam, H. (2024). Analysis of the performance of Faster R-CNN and YOLOv8 in detecting fishing vessels and fishes in real time. PeerJ Computer Science, 10. https://doi.org/10.7717/peerj-cs.2033
Forti, N., d’Afflisio, E., Braca, P., Millefiori, L. M., Carniel, S., & Willett, P. (2022). Next-Gen Intelligent Situational Awareness Systems for Maritime Surveillance and Autonomous Navigation [Point of View]. Proc. IEEE, 110, 1532-1537. https://doi.org/10.1109/jproc.2022.3194445
Franchi, F., Graziosi, F., Di Fina, E., & Galassi, A. (2024). A Survey of Cloud-Enabled GIS Solutions Toward Edge Computing: Challenges and Perspectives. IEEE Open Journal of the Communications Society, 5, 312-331. https://doi.org/10.1109/ojcoms.2023.3344198
Freire, W. P., Melo, W. S., Nascimento, V. D. D., Nascimento, P. R. M., & De Sá, A. O. (2022). Towards a Secure and Scalable Maritime Monitoring System Using Blockchain and Low-Cost IoT Technology. Sensors (Basel, Switzerland), 22. https://doi.org/10.3390/s22134895
Gaadha, B., & Umasankar, M. (2026). A systematic literature review on non-familial financial socialization. Discover Psychology. https://doi.org/10.1007/s44202-026-00640-8
Gamage, C., Dinalankara, R., Samarabandu, J., & Subasinghe, A. (2023). A comprehensive survey on the applications of machine learning techniques on maritime surveillance to detect abnormal maritime vessel behaviors. WMU Journal of Maritime Affairs, 22, 447 - 477. https://doi.org/10.1007/s13437-023-00312-7
Gao, Z., Li, Y., Shao, Y., Tao, F., Wang, Z., & Chen, G. (2026). HPRT-YOLO: Enhanced lightweight UAV maritime search and rescue model based on YOLOv11n. iScience, 29. https://doi.org/10.1016/j.isci.2026.115366
Garcia, L. P., Furano, G., Ghiglione, M., Zancan, V., Imbembo, E., Ilioudis, C., Clemente, C., & Trucco, P. (2024). Advancements in Onboard Processing of Synthetic Aperture Radar (SAR) Data: Enhancing Efficiency and Real-Time Capabilities. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 16625-16645. https://doi.org/10.1109/jstars.2024.3406155
Guardia, M. (2025). 3D Urban Digital Twinning on the Web with Low-Cost Technology: 3D Geospatial Data and IoT Integration for Wellness Monitoring. Big Data Cogn. Comput., 9, 107. https://doi.org/10.3390/bdcc9040107
Guo, Y., Liu, R. W., Qu, J., Lu, Y., Zhu, F., & Lv, Y. (2023). Asynchronous Trajectory Matching-Based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways. IEEE Transactions on Intelligent Transportation Systems, 24, 12779-12792. https://doi.org/10.1109/tits.2023.3285415
Gupta, H., Verma, O. P., Sharma, T., Varshney, H., Agarwal, S., & Pak, W. (2024). Ship detection using ensemble deep learning techniques from synthetic aperture radar imagery. Scientific Reports, 14. https://doi.org/10.1038/s41598-024-80239-y
Han, W., Wang, T., He, Z., Wang, C., Hui, Z., Lei, S., Hao, N., Li, N., & Wang, X. (2025). Global research trends on gastrointestinal cancer and mental health (2004–2024): a bibliographic study. Frontiers in Medicine, 12. https://doi.org/10.3389/fmed.2025.1515853
Han, X., Armenakis, C., & Jadidi, M. (2021). Modeling Vessel Behaviours by Clustering AIS Data Using Optimized DBSCAN. Sustainability. https://doi.org/10.3390/su13158162
Haque, T., Syed, M. A. B., Das, S., & Ahmed, I. (2024). Advancing Marine Surveillance: A Hybrid Approach of Physics-Infused Neural Network for Enhanced Vessel Tracking Using Automatic Identification System Data. Journal of Marine Science and Engineering. https://doi.org/10.3390/jmse12111913
Huang, I.-L., Lee, M.-C., Chang, L., & Huang, J.-C. (2024). Development and Application of an Advanced Automatic Identification System (AIS)-Based Ship Trajectory Extraction Framework for Maritime Traffic Analysis. Journal of Marine Science and Engineering. https://doi.org/10.3390/jmse12091672
Huang, Y., Liu, W., Lin, Y., Kang, J., Zhu, F., & Wang, F. (2025). FLCSDet: Federated Learning-Driven Cross-Spatial Vessel Detection for Maritime Surveillance With Privacy Preservation. IEEE Transactions on Intelligent Transportation Systems, 26, 1177-1192. https://doi.org/10.1109/tits.2024.3488497
Huo, Y., Dong, X., & Beatty, S. (2020). Cellular Communications in Ocean Waves for Maritime Internet of Things. IEEE Internet of Things Journal, 7, 9965-9979. https://doi.org/10.1109/jiot.2020.2988634
Husaeni, D. F. A., & Nandiyanto, A. (2021). Bibliometric Using Vosviewer with Publish or Perish (using Google Scholar data): From Step-by-step Processing for Users to the Practical Examples in the Analysis of Digital Learning Articles in Pre and Post Covid-19 Pandemic. ASEAN Journal of Science and Engineering. https://doi.org/10.17509/ajse.v2i1.37368
Husaeni, D. F. A., & Nandiyanto, A. (2021). Bibliometric Using Vosviewer with Publish or Perish (using Google Scholar data): From Step-by-step Processing for Users to the Practical Examples in the Analysis of Digital Learning Articles in Pre and Post Covid-19 Pandemic. ASEAN Journal of Science and Engineering. https://doi.org/10.17509/ajse.v2i1.37368
Husaeni, D. F. A., & Nandiyanto, A. (2021). Bibliometric Using Vosviewer with Publish or Perish (using Google Scholar data): From Step-by-step Processing for Users to the Practical Examples in the Analysis of Digital Learning Articles in Pre and Post Covid-19 Pandemic. ASEAN Journal of Science and Engineering. https://doi.org/10.17509/ajse.v2i1.37368
Isbaex, C., Costa, F. D. R. F., & Batista, T. (2025). Application of GIS in the Maritime-Port Sector: A Systematic Review. Sustainability. https://doi.org/10.3390/su17083386
Isbaex, C., Costa, F. D. R. F., & Batista, T. (2025). Application of GIS in the Maritime-Port Sector: A Systematic Review. Sustainability. https://doi.org/10.3390/su17083386
Isbaex, C., Costa, F. D. R. F., & Batista, T. (2025). Application of GIS in the Maritime-Port Sector: A Systematic Review. Sustainability. https://doi.org/10.3390/su17083386
Jahanbakht, M., Xiang, W., Hanzo, L., & Azghadi, M. R. (2020). Internet of Underwater Things and Big Marine Data Analytics—A Comprehensive Survey. IEEE Communications Surveys & Tutorials, 23, 904-956. https://doi.org/10.1109/comst.2021.3053118
Jelokhani‐Niaraki, M., Moradi-Pour, S., Samany, N., & Mohammadkhan, S. (2023). A multiple models-multiple users group GIS-based decision support system for land use problems. Land Use Policy. https://doi.org/10.1016/j.landusepol.2023.106916
Jung, S., Jeong, S., Kang, J., & Kang, J. (2023). Marine IoT Systems With Space–Air–Sea Integrated Networks: Hybrid LEO and UAV Edge Computing. IEEE Internet of Things Journal, 10, 20498-20510. https://doi.org/10.1109/jiot.2023.3287196
Karst, J., McGurrin, R., Gavin, K. E., Luttrell, J., Rippy, W., Coniglione, R., McKenna, J. R., & Riedel, R. (2025). Enhancing Maritime Domain Awareness Through AI-Enabled Acoustic Buoys for Real-Time Detection and Tracking of Fast-Moving Vessels. Sensors (Basel, Switzerland), 25. https://doi.org/10.3390/s25061930
Kelly, C., Ellis, G., & Flannery, W. (2018). Conceptualising change in marine governance: Learning from Transition Management. Marine Policy. https://doi.org/10.1016/j.marpol.2018.06.023
Kim, M., Park, J., & Hyun, C.-U. (2026). A Review of Oil Spill Detection and Monitoring Techniques Using Satellite Remote Sensing Data and the Google Earth Engine Platform. Journal of Marine Science and Engineering. https://doi.org/10.3390/jmse14060565
Kim, Y., Kim, J., Lee, W., Park, H., & Cho, D. (2025). FURIOUS: Fully unified risk-assessment with interactive operational user system for vessels. PLOS One, 20. https://doi.org/10.1371/journal.pone.0323300
Kiran, M., Xie, Y., Anjum, N., Ball, G., Pierscionek, B., & Russell, D. (2025). Machine learning and artificial intelligence in type 2 diabetes prediction: a comprehensive 33-year bibliometric and literature analysis. Frontiers in Digital Health, 7. https://doi.org/10.3389/fdgth.2025.1557467
Klarin, A. (2024). How to conduct a bibliometric content analysis: Guidelines and contributions of content co-occurrence or co-word literature reviews. International Journal of Consumer Studies. https://doi.org/10.1111/ijcs.13031
Klarin, A. (2024). How to conduct a bibliometric content analysis: Guidelines and contributions of content co‐occurrence or co‐word literature reviews. International Journal of Consumer Studies. https://doi.org/10.1111/ijcs.13031
Koldasbayeva, D., Tregubova, P., Gasanov, M., Zaytsev, A., Petrovskaia, A., & Burnaev, E. (2024). Challenges in data-driven geospatial modeling for environmental research and practice. Nature Communications, 15. https://doi.org/10.1038/s41467-024-55240-8
Krishnamoorthy, R., Tanaka, K., & Begum, M. (2025). Integrating GIS-Remote Sensing: A Comprehensive Approach to Predict Oceanographic Health and Coastal Dynamics. Remote Sensing in Earth Systems Sciences, 8, 200 - 212. https://doi.org/10.1007/s41976-024-00185-1
Krishnamoorthy, R., Tanaka, K., & Begum, M. (2025). Integrating GIS-Remote Sensing: A Comprehensive Approach to Predict Oceanographic Health and Coastal Dynamics. Remote Sensing in Earth Systems Sciences, 8, 200–212. https://doi.org/10.1007/s41976-024-00185-1
Kuo, C., & Chou, H. (2023). An ontology-based framework for semantic geographic information systems development and understanding. Comput. Geosci., 181, 105462. https://doi.org/10.1016/j.cageo.2023.105462
Kuzior, A., & Sira, M. (2022). A Bibliometric Analysis of Blockchain Technology Research Using VOSviewer. Sustainability. https://doi.org/10.3390/su14138206
Kuzior, A., & Sira, M. (2022). A Bibliometric Analysis of Blockchain Technology Research Using VOSviewer. Sustainability. https://doi.org/10.3390/su14138206
Lee, D., Jang, D., & Yoo, S. (2025). Development of a Multidimensional Analysis and Integrated Visualization Method for Maritime Traffic Behaviors Using DBSCAN-Based Dynamic Clustering. Applied Sciences. https://doi.org/10.3390/app15020529
Lester, S., Dubel, A. K., Hernán, G., McHenry, J., & Rassweiler, A. (2020). Spatial Planning Principles for Marine Ecosystem Restoration. https://doi.org/10.3389/fmars.2020.00328
Li, H., Çelik, C., Bashir, M., Zou, L., & Yang, Z. (2024). Incorporation of a global perspective into data-driven analysis of maritime collision accident risk. Reliab. Eng. Syst. Saf., 249, 110187. https://doi.org/10.1016/j.ress.2024.110187
Li, H., Jiao, H., & Yang, Z. (2023). AIS data-driven ship trajectory prediction modelling and analysis based on machine learning and deep learning methods. Transportation Research Part E: Logistics and Transportation Review. https://doi.org/10.1016/j.tre.2023.103152
Li, J., Zhang, G., Jiang, C., & Zhang, W. (2023). A survey of maritime unmanned search system: Theory, applications and future directions. Ocean Engineering. https://doi.org/10.1016/j.oceaneng.2023.115359
Li, M., Mou, J., Liu, R., Chen, P., Dong, Z., & He, Y. (2019). Relational Model of Accidents and Vessel Traffic Using AIS Data and GIS: A Case Study of the Western Port of Shenzhen City. Journal of Marine Science and Engineering. https://doi.org/10.3390/jmse7060163
Li, W., Cheng, K., Shi, G., Desrosiers, R., & Wang, X. (2025). Ship domain models: Reviewing the advancements and exploring the future directions in the maritime autonomous surface ships. Ocean Engineering. https://doi.org/10.1016/j.oceaneng.2025.120935
Li, X., Yue, J., Wang, S., Luo, Y., Su, C., Zhou, J., Xu, D., & Lu, H. (2023). Development of Geographic Information System Architecture Feature Analysis and Evolution Trend Research. Sustainability. https://doi.org/10.3390/su16010137
Li, Z., Ning, H., Gao, S., Janowicz, K., Li, W., Arundel, S., Yang, C., Bhaduri, B., Wang, S., Zhu, A.-X., Gahegan, M., Shekhar, S., Ye, X., McKenzie, G., Cervone, G., & Hodgson, M. E. (2025). GIScience in the era of Artificial Intelligence: a research agenda towards Autonomous GIS. Annals of GIS, 31, 501 - 536. https://doi.org/10.1080/19475683.2025.2552161
Liang, M., Su, J., Liu, R. W., & Lam, J. S. L. (2024). AISClean: AIS data-driven vessel trajectory reconstruction under uncertain conditions. Ocean Engineering. https://doi.org/10.1016/j.oceaneng.2024.117987
Liao, L., Zhao, Q., & Song, W. (2023). Monitoring of Oil Spill Risk in Coastal Areas Based on Polarimetric SAR Satellite Images and Deep Learning Theory. Sustainability. https://doi.org/10.3390/su151914504
Lieske, D., Avery‐Gomm, S., Champagne, P. S., & Fulton, L. (2025). GIS, Remote Sensing and Machine Learning: Data Integration to Support the Management of Coastal Island Ecosystems. Environmental Management, 75, 2625 - 2646. https://doi.org/10.1007/s00267-025-02202-5
Liu, R. W., Liang, M., Nie, J., Lim, W. Y. B., Zhang, Y., & Guizani, M. (2022). Deep Learning-Powered Vessel Trajectory Prediction for Improving Smart Traffic Services in Maritime Internet of Things. IEEE Transactions on Network Science and Engineering, 9, 3080-3094. https://doi.org/10.1109/tnse.2022.3140529
Liu, R. W., Nie, J., Garg, S., Xiong, Z., Zhang, Y., & Hossain, M. S. (2021). Data-Driven Trajectory Quality Improvement for Promoting Intelligent Vessel Traffic Services in 6G-Enabled Maritime IoT Systems. IEEE Internet of Things Journal, 8, 5374-5385. https://doi.org/10.1109/jiot.2020.3028743
Liu, R. W., Yuan, W., Chen, X., & Lu, Y. (2021). An enhanced CNN-enabled learning method for promoting ship detection in maritime surveillance system. Ocean Engineering, 235, 109435. https://doi.org/10.1016/j.oceaneng.2021.109435
Lopac, N., Jurdana, I., Brnelić, A., & Krljan, T. (2022). Application of Laser Systems for Detection and Ranging in the Modern Road Transportation and Maritime Sector. Sensors (Basel, Switzerland), 22. https://doi.org/10.3390/s22165946
Lyu, M., Zhao, Y., Huang, C., & Huang, H. (2023). Unmanned Aerial Vehicles for Search and Rescue: A Survey. Remote. Sens., 15, 3266. https://doi.org/10.3390/rs15133266
Mahrad, B. E., Newton, A., Icely, J., Kacimi, I., Abalansa, S., & Snoussi, M. (2020). Contribution of Remote Sensing Technologies to a Holistic Coastal and Marine Environmental Management Framework: A Review. Remote. Sens., 12, 2313. https://doi.org/10.3390/rs12142313
Masria, A. (2024). Bridging Coastal Challenges: The Role of Remote Sensing and Future Research. Regional Studies in Marine Science. https://doi.org/10.1016/j.rsma.2024.103502
Melet, A., Teatini, P., Cozannet, G., Jamet, C., Conversi, A., Benveniste, J., & Almar, R. (2020). Earth Observations for Monitoring Marine Coastal Hazards and Their Drivers. Surveys in Geophysics, 41, 1489 - 1534. https://doi.org/10.1007/s10712-020-09594-5
Mishra, B., Garg, D., Narang, P., & Mishra, V. (2020). Drone-surveillance for search and rescue in natural disaster. Comput. Commun., 156, 1-10. https://doi.org/10.1016/j.comcom.2020.03.012
Morzaria-Luna, H., Turk-Boyer, P., Hernandez, J., Polanco-Mizquez, E., Downton-Hoffmann, C., Cruz-Piñón, G., Carrillo-Lammens, T., Loaiza-Villanueva, R., Valdivia-Jiménez, P. A., Sánchez-Cruz, A., Peña-Mendoza, V., López-Ortiz, A. M., Koch, V., Vázquez-Vera, L., Arreola-Lizárraga, J., Amador-Castro, I. G., Castillo, A. S. N., & Munguía-Vega, A. (2020). Fisheries management tools to support coastal and marine spatial planning: A case study from the Northern Gulf of California, Mexico. MethodsX, 7. https://doi.org/10.1016/j.mex.2020.101108
Murray, B., & Perera, L. (2021). Ship behavior prediction via trajectory extraction-based clustering for maritime situation awareness. Journal of Ocean Engineering and Science. https://doi.org/10.1016/j.joes.2021.03.001
Narayanan, K. J. S., & Manimaran, A. (2023). Recent developments in geographic information systems across different application domains: a review. Knowledge and Information Systems, 1-25. https://doi.org/10.1007/s10115-023-01969-5
Narayanan, K. J. S., & Manimaran, A. (2023). Recent developments in geographic information systems across different application domains: a review. Knowledge and Information Systems, 1–25. https://doi.org/10.1007/s10115-023-01969-5
Nascimento, V. D. D., Alves, T. A. O., Farias, C. M. D., & Dutra, D. (2024). A Hybrid Framework for Maritime Surveillance: Detecting Illegal Activities through Vessel Behaviors and Expert Rules Fusion. Sensors (Basel, Switzerland), 24. https://doi.org/10.3390/s24175623
Nasios, I., & Vogklis, K. (2025). AI at Sea, Year Six: Performance Evaluation, Failures,and Insights from the Operational Meta-Analysis of SatShipAI, a Sensor-Fused Maritime Surveillance Platform. Electronics. https://doi.org/10.3390/electronics14183648
Nayak, P. P., B, P. J., & Govindan, S. (2025). Leveraging geographic information system for dengue surveillance: a scoping review. Tropical Medicine and Health, 53. https://doi.org/10.1186/s41182-025-00783-9
Ngo, T. B., Ngo, L., Nguyen, D. T., Phi, A. V., Perera, A. G., & Nguyen, A. (2026). UAV-Based Visual Detection and Tracking of Drowning Victims in Maritime Rescue Operations. Drones. https://doi.org/10.3390/drones10020146
Nikouei, M., Baroutian, B., Nabavi, S., Taraghi, F., Aghaei, A., Sajedi, A., & Moghaddam, M. E. (2025). Small Object Detection: A Comprehensive Survey on Challenges, Techniques and Real-World Applications. ArXiv, abs/2503.20516. https://doi.org/10.1016/j.iswa.2025.200561
Ning, H., Li, Z., Akinboyewa, T., & Lessani, M. (2024). An autonomous GIS agent framework for geospatial data retrieval. International Journal of Digital Earth, 18. https://doi.org/10.1080/17538947.2025.2458688
Nomikos, N., Gkonis, P., Bithas, P., & Trakadas, P. (2022). A Survey on UAV-Aided Maritime Communications: Deployment Considerations, Applications, and Future Challenges. IEEE Open Journal of the Communications Society, 4, 56-78. https://doi.org/10.1109/ojcoms.2022.3225590
Nurfalah, A., Supangkat, S., & Mulyana, E. (2023). Effective & near real-time track-to-track association for large sensor data in Maritime Tactical Data System. ICT Express, 10, 312-319. https://doi.org/10.1016/j.icte.2023.07.010
Okafor-Yarwood, I. (2020). The Cyclical Nature of Maritime Security Threats: Illegal, Unreported, and Unregulated Fishing as a Threat to Human and National Security in the Gulf of Guinea. African Security, 13, 116 - 146. https://doi.org/10.1080/19392206.2020.1724432
Okafor-Yarwood, I. (2020). The Cyclical Nature of Maritime Security Threats: Illegal, Unreported, and Unregulated Fishing as a Threat to Human and National Security in the Gulf of Guinea. African Security, 13, 116–146. https://doi.org/10.1080/19392206.2020.1724432
Okafor-Yarwood, I., Eastwood, O., Chikowore, N., & De Oliveira Paes, L. (2024). Technology and maritime security in Africa: Opportunities and challenges in Gulf of Guinea. Marine Policy. https://doi.org/10.1016/j.marpol.2023.105976
Omar, O. E., Mahad, H., Gedi, O. A., Bashir, S. G., & Bilow, I. A. (2026). Revisiting the fisheries–piracy nexus in Somalia: illegal fishing, governance collapse, and maritime crime. Frontiers in Marine Science. https://doi.org/10.3389/fmars.2026.1821353
Ouellette, W., & Getinet, W. (2016). Remote sensing for Marine Spatial Planning and Integrated Coastal Areas Management: Achievements, challenges, opportunities and future prospects. Remote Sensing Applications: Society and Environment, 4, 138-157. https://doi.org/10.1016/j.rsase.2016.07.003
Page, M., McKenzie, J., Bossuyt, P., Boutron, I., Hoffmann, T., Mulrow, C., Shamseer, L., Tetzlaff, J., Akl, E., Brennan, S., Chou, R., Glanville, J. M., Grimshaw, J., Hrõbjartsson, A., Lalu, M., Li, T., Loder, E., Mayo-Wilson, E., McDonald, S., . . . Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. Journal of Clinical Epidemiology. https://doi.org/10.1016/j.jclinepi.2021.03.001
Page, M., McKenzie, J., Bossuyt, P., Boutron, I., Hoffmann, T., Mulrow, C., Shamseer, L., Tetzlaff, J., Akl, E., Brennan, S., Chou, R., Glanville, J. M., Grimshaw, J., Hrõbjartsson, A., Lalu, M., Li, T., Loder, E., Mayo-Wilson, E., McDonald, S., . . . Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews.. Journal of clinical epidemiology. https://doi.org/10.1016/j.jclinepi.2021.03.001
Page, M., McKenzie, J., Bossuyt, P., Boutron, I., Hoffmann, T., Mulrow, C., Shamseer, L., Tetzlaff, J., Akl, E., Brennan, S., Chou, R., Glanville, J. M., Grimshaw, J., Hrõbjartsson, A., Lalu, M., Li, T., Loder, E., Mayo-Wilson, E., McDonald, S., . . . Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. Journal of Clinical Epidemiology. https://doi.org/10.1016/j.jclinepi.2021.03.001
Page, M., Moher, D., & McKenzie, J. (2021). Introduction to PRISMA 2020 and implications for research synthesis methodologists. Research Synthesis Methods, 13, 156 - 163. https://doi.org/10.1002/jrsm.1535
Page, M., Moher, D., Bossuyt, P., Boutron, I., Hoffmann, T., Mulrow, C., Shamseer, L., Tetzlaff, J., Akl, E., Brennan, S., Chou, R., Glanville, J. M., Grimshaw, J., Hrõbjartsson, A., Lalu, M., Li, T., Loder, E., Mayo-Wilson, E., McDonald, S., . . . McKenzie, J. (2020). PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews. The BMJ, 372. https://doi.org/10.1136/bmj.n160
Paolo, F. S., Kroodsma, D., Raynor, J., Hochberg, T., Davis, P., Cleary, J., Marsaglia, L., Orofino, S., Thomas, C., & Halpin, P. N. (2024). Satellite mapping reveals extensive industrial activity at sea. Nature, 625, 85–91. https://doi.org/10.1038/s41586-023-06825-8
Park, H. Y., Suh, C., Woo, S., Kim, P., & Kim, K. (2022). Quality Reporting of Systematic Review and Meta-Analysis According to PRISMA 2020 Guidelines: Results from Recently Published Papers in the Korean Journal of Radiology. Korean Journal of Radiology, 23, 355 - 369. https://doi.org/10.3348/kjr.2021.0808
Park, H., Jung, J., Seo, M.-S., Choi, H., Cho, D., Park, S., & Choi, D.-G. (2025). AIS-LLM: A Unified Framework for Maritime Trajectory Prediction, Anomaly Detection, and Collision Risk Assessment with Explainable Forecasting. ArXiv, abs/2508.07668. https://doi.org/10.48550/arxiv.2508.07668
Park, S., & Song, A. (2023). Shoreline Change Analysis with Deep Learning Semantic Segmentation Using Remote Sensing and GIS Data. KSCE Journal of Civil Engineering, 28, 928 - 938. https://doi.org/10.1007/s12205-023-1604-9
Parums, D. (2021). Editorial: Review Articles, Systematic Reviews, Meta-Analysis, and the Updated Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 Guidelines. Medical Science Monitor: International Medical Journal of Experimental and Clinical Research, 27, e934475-1–e934475-3. https://doi.org/10.12659/msm.934475
Parums, D. (2021). Editorial: Review Articles, Systematic Reviews, Meta-Analysis, and the Updated Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 Guidelines. Medical Science Monitor : International Medical Journal of Experimental and Clinical Research, 27, e934475-1 - e934475-3. https://doi.org/10.12659/msm.934475
Pastina, D., Santi, F., Pieralice, F., Antoniou, M., & Cherniakov, M. (2021). Passive Radar Imaging of Ship Targets With GNSS Signals of Opportunity. IEEE Transactions on Geoscience and Remote Sensing, 59, 2627-2642. https://doi.org/10.1109/tgrs.2020.3005306
Patel, K., Bhatt, C., & Mazzeo, P. (2022). Deep Learning-Based Automatic Detection of Ships: An Experimental Study Using Satellite Images. Journal of Imaging, 8. https://doi.org/10.3390/jimaging8070182
Peng, J., Wang, S., Mu, L., & Wang, S. (2024). Risk Assessment of Oil Spills along the Coastline of Jiaozhou Bay Using GIS Techniques and the MEDSLIK-II Model. Water. https://doi.org/10.3390/w16070996
Phayal, A., Gold, A., Maharani, C., Palomares, M. L., Pauly, D., Prins, B., & Riyadi, S. (2024). All maritime crimes are local: Understanding the causal link between illegal fishing and maritime piracy. Political Geography. https://doi.org/10.1016/j.polgeo.2024.103069
Phayal, A., Gold, A., Maharani, C., Palomares, M. L., Pauly, D., Prins, B., & Riyadi, S. (2024). All maritime crimes are local: Understanding the causal link between illegal fishing and maritime piracy. Political Geography. https://doi.org/10.1016/j.polgeo.2024.103069
Pieri, G., Cocco, M., & Salvetti, O. (2018). A Marine Information System for Environmental Monitoring: ARGO-MIS. Journal of Marine Science and Engineering, 6, 15. https://doi.org/10.3390/jmse6010015
Qi, S., Lin, B., Deng, Y., Chen, X., & Fang, Y. (2024). Minimizing Maximum Latency of Task Offloading for Multi-UAV-Assisted Maritime Search and Rescue. IEEE Transactions on Vehicular Technology, 73, 13625-13638. https://doi.org/10.1109/tvt.2024.3384570
Qiao, D., Liu, G., Lv, T., Li, W., & Zhang, J. (2021). Marine Vision-Based Situational Awareness Using Discriminative Deep Learning: A Survey. Journal of Marine Science and Engineering, 9, 397. https://doi.org/10.3390/jmse9040397
Qingquan, L., Yi, L., Shuibo, H., Zhongwen, H., Hongzhong, L., Peng, L., Tiezhu, S., Chisheng, W., Junjie, W., & Guofeng, W. (2016). Review of remotely sensed geo-environmental monitoring of coastal zones. National Remote Sensing Bulletin. https://doi.org/10.11834/jrs.20166168
Qu, J., Liu, R. W., Guo, Y., Lu, Y., Su, J., & Li, P. (2023). Improving maritime traffic surveillance in inland waterways using the robust fusion of AIS and visual data. Ocean Engineering. https://doi.org/10.1016/j.oceaneng.2023.114198
Ramieri, E., Bocci, M., Brigolin, D., Campostrini, P., Carella, F., Fadini, A., Farella, G., Gissi, E., Madeddu, F., Menegon, S., Monaco, M. R., Musco, F., Soffietti, F., Barberi, L., & Barbanti, A. (2024). Designing and implementing a multi-scalar approach to Maritime Spatial Planning: The case study of Italy. Marine Policy. https://doi.org/10.1016/j.marpol.2023.105911
Ramovha, N., Mokoatle, M., Rathebe, P., & Sithole, T. (2026). Advancing Smart Water Loss and Oil Spillage Management: a Comprehensive Review of Remote Sensing and GIS Application. Water Resources Management. https://doi.org/10.1007/s11269-026-04508-3
Rangel, G. C., Da Silva Alves, V. B. A., De Araújo Costa, I. P., Moreira, M., De Araújo Costa, A. P., Santos, M., & Eckstrand, E. (2025). Efficient Naval Surveillance: Addressing Label Noise with Rockafellian Risk Minimization for Water Security. Water. https://doi.org/10.3390/w17030401
Rawson, A., & Brito, M. (2020). A critique of the use of domain analysis for spatial collision risk assessment. Ocean Engineering, 108259. https://doi.org/10.1016/j.oceaneng.2020.108259
Rawson, A., Brito, M., & Sabeur, Z. (2021). Spatial Modeling of Maritime Risk Using Machine Learning. Risk Analysis, 42. https://doi.org/10.1111/risa.13866
Rawson, A., Sabeur, Z., & Brito, M. (2021). Intelligent geospatial maritime risk analytics using the Discrete Global Grid System. Big Earth Data, 6, 294 - 322. https://doi.org/10.1080/20964471.2021.1965370
Rawson, A., Sabeur, Z., & Brito, M. (2021). Intelligent geospatial maritime risk analytics using the Discrete Global Grid System. Big Earth Data, 6, 294–322. https://doi.org/10.1080/20964471.2021.1965370
Razzaq, A. (2022). Blockchain-based secure data transmission for internet of underwater things. Cluster Computing, 25, 4495-4514. https://doi.org/10.1007/s10586-022-03701-4
Razzaq, A., Mohsan, S. A. H., Li, Y., & Alsharif, M. H. (2023). Architectural Framework for Underwater IoT: Forecasting System for Analyzing Oceanographic Data and Observing the Environment. Journal of Marine Science and Engineering. https://doi.org/10.3390/jmse11020368
Reggiannini, M., Salerno, E., Bacciu, C., D'Errico, A., Duca, A. L., Marchetti, A., Martinelli, M., Mercurio, C., Mistretta, A., Righi, M., Tampucci, M., & Di Paola, C. (2024). Remote Sensing for Maritime Traffic Understanding. Remote. Sens., 16, 557. https://doi.org/10.3390/rs16030557
Riveiro, M., Pallotta, G., & Vespe, M. (2018). Maritime anomaly detection: A review. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 8. https://doi.org/10.1002/widm.1266
Sackey, A. D., Lomotey, B., Sackey, A. D., Lee, R. O.-D., Teye, A. A., Quarcoo, R., & Bansah, J. E. K. (2022). Delineating the relationship between maritime insecurity and COVID-19 pandemic on West African maritime trade. Journal of Shipping and Trade, 7. https://doi.org/10.1186/s41072-022-00121-w
Sackey, A. D., Lomotey, B., Sackey, A. D., Lee, R. O.-D., Teye, A. A., Quarcoo, R., & Bansah, J. E. K. (2022). Delineating the relationship between maritime insecurity and COVID-19 pandemic on West African maritime trade. Journal of Shipping and Trade, 7. https://doi.org/10.1186/s41072-022-00121-w
Şahin, B. B., Erdaş, Ç., & Sümer, E. (2026). Multi-sensor data fusion in maritime surveillance: a review on methods and applications. PeerJ Computer Science. https://doi.org/10.7717/peerj-cs.3765
Şahin, B. B., Erdaş, Ç., & Sümer, E. (2026). Multi-sensor data fusion in maritime surveillance: a review on methods and applications. PeerJ Computer Science. https://doi.org/10.7717/peerj-cs.3765
Şahin, B. B., Erdaş, Ç., & Sümer, E. (2026). Multi-sensor data fusion in maritime surveillance: a review on methods and applications. PeerJ Computer Science. https://doi.org/10.7717/peerj-cs.3765
Saif, A. N. M., & Islam, M. A. (2022). Blockchain in human resource management: a systematic review and bibliometric analysis. Technology Analysis & Strategic Management, 36, 635 - 650. https://doi.org/10.1080/09537325.2022.2049226
Salam, A., Pranasari, T. E., Sasmita, W. S., & Paramashanti, B. (2026). Global trends and emerging themes in digital human resource management in healthcare: A bibliometric analysis.. Health services management research, 9514848261461230 . https://doi.org/10.1177/09514848261461230
Sanchez-Gonzalez, P.-L., Díaz-Gutiérrez, D., Leo, T., & Núñez-Rivas, L. R. (2019). Toward Digitalization of Maritime Transport?. Sensors (Basel, Switzerland), 19. https://doi.org/10.3390/s19040926
Sanchez-Gonzalez, P.-L., Díaz-Gutiérrez, D., Leo, T., & Núñez-Rivas, L. R. (2019). Toward Digitalization of Maritime Transport? Sensors, 19. https://doi.org/10.3390/s19040926
Santamaria, C., Alvarez, M., Greidanus, H., Syrris, V., Soille, P., & Argentieri, P. (2017). Mass Processing of Sentinel-1 Images for Maritime Surveillance. Remote. Sens., 9, 678. https://doi.org/10.3390/rs9070678
Santos, C. F., Agardy, T., Andrade, F., Crowder, L., Ehler, C., & Orbach, M. (2018). Major challenges in developing marine spatial planning. Marine Policy. https://doi.org/10.1016/j.marpol.2018.08.032
Sedaghat, A., Arbabkhah, H., Kang, M. J., & Hamidi, M. (2024). Deep Learning Applications in Vessel Dead Reckoning to Deal with Missing Automatic Identification System Data. Journal of Marine Science and Engineering. https://doi.org/10.3390/jmse12010152
Seyed, A. G., Ahmadi, A., Kakooei, M., Moghimi, A., Mirmazloumi, S. M. M. I. S., Hamed, S., Moghaddam, A., Mahdavi, S., Ghahremanloo, M., Parsian, S., Wu, Q., Brisco, B., S. M., & M. (2020). Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 5326-5350. https://doi.org/10.1109/jstars.2020.3021052
Sharma, S., Beslity, J. O., Rustad, L., Shelby, L. J., Manos, P. T., Khanal, P., Reinmann, A., & Khanal, C. (2024). Remote Sensing and GIS in Natural Resource Management: Comparing Tools and Emphasizing the Importance of In-Situ Data. Remote. Sens., 16, 4161. https://doi.org/10.3390/rs16224161
Snapir, B., Waine, T., & Biermann, L. (2019). Maritime Vessel Classification to Monitor Fisheries with SAR: Demonstration in the North Sea. Remote. Sens., 11, 353. https://doi.org/10.3390/rs11030353
Sohrabi, C., Franchi, T., Mathew, G., Kerwan, A., Nicola, M., Griffin, M., Agha, M., & Agha, R. (2021). PRISMA 2020 statement: What's new and the importance of reporting guidelines. International Journal of Surgery, 105918. https://doi.org/10.1016/j.ijsu.2021.105918
Sohrabi, C., Franchi, T., Mathew, G., Kerwan, A., Nicola, M., Griffin, M., Agha, M., & Agha, R. (2021). PRISMA 2020 statement: What's new and the importance of reporting guidelines.. International journal of surgery, 105918 . https://doi.org/10.1016/j.ijsu.2021.105918
Soldi, G., Gaglione, D., Forti, N., Simone, A. D., Daffinà, F., Bottini, G., Quattrociocchi, D., Millefiori, L. M., Braca, P., Carniel, S., Willett, P., Iodice, A., Riccio, D., & Farina, A. (2020). Space-Based Global Maritime Surveillance. Part I: Satellite Technologies. IEEE Aerospace and Electronic Systems Magazine, 36, 8-28. https://doi.org/10.1109/maes.2021.3070862
Song, Y.-S., Kalacska, M., Gašparović, M., Yao, J., & Najibi, N. (2023). Advances in geocomputation and geospatial artificial intelligence (GeoAI) for mapping. Int. J. Appl. Earth Obs. Geoinformation, 120, 103300. https://doi.org/10.1016/j.jag.2023.103300
Soulami, M., Benchekroun, S., & Galiulina, A. (2024). Exploring how AI adoption in the workplace affects employees: a bibliometric and systematic review. Frontiers in Artificial Intelligence, 7. https://doi.org/10.3389/frai.2024.1473872
Spinosa, A., Ziemba, A., Saponieri, A., Damiani, L., & Serafy, E. G. (2021). Remote Sensing-Based Automatic Detection of Shoreline Position: A Case Study in Apulia Region. Journal of Marine Science and Engineering, 9, 575. https://doi.org/10.3390/jmse9060575
Syed, M. A. B., & Ahmed, I. I. (2023). A CNN-LSTM Architecture for Marine Vessel Track Association Using Automatic Identification System (AIS) Data. Sensors (Basel, Switzerland), 23. https://doi.org/10.3390/s23146400
Talbot-Jones, J., Macpherson, E., Jorgensen, E., Allison, A., Fisher, K., Hewitt, J., Paul, A., Rennie, H., & Zylla, A. (2025). Facilitating the ecosystem-based management transition in Aotearoa New Zealand. Journal of the Royal Society of New Zealand, 55, 1880 - 1896. https://doi.org/10.1080/03036758.2024.2426628
Tamiminia, H., Salehi, B., Mahdianpari, M., Quackenbush, L. J., Adeli, S., & Brisco, B. (2020). Google Earth Engine for geo-big data applications: A meta-analysis and systematic review. Isprs Journal of Photogrammetry and Remote Sensing, 164, 152-170. https://doi.org/10.1016/j.isprsjprs.2020.04.001
Thanopoulou, H., Patera, A., Moresis, O., Georgoulis, G., Lioumi, V., Kanavos, A., Papadimitriou, O., Zervakis, V., & Dagkinis, I. (2023). Supporting Informed Public Reactions to Shipping Incidents with Oil Spill Potential: An Innovative Electronic Platform. Sustainability. https://doi.org/10.3390/su152015035
Theodoropoulos, P., Spandonidis, C. C., Giannopoulos, F., & Fassois, S. (2021). A Deep Learning-Based Fault Detection Model for Optimization of Shipping Operations and Enhancement of Maritime Safety. Sensors (Basel, Switzerland), 21. https://doi.org/10.3390/s21165658
Thodi, M. F. C., Gopinath, G., Surendran, U., Prem, P., Al-Ansari, N., & Mattar, M. A. (2023). Using RS and GIS Techniques to Assess and Monitor Coastal Changes of Coastal Islands in the Marine Environment of a Humid Tropical Region. Water. https://doi.org/10.3390/w15213819
Thombre, S., Zhao, Z., Ramm-Schmidt, H., Garcia, J. V., Malkamaki, T., Nikolskiy, S., Hammarberg, T., Nuortie, H., Bhuiyan, M. Z. H., Särkkä, S., & Lehtola, V. (2020). Sensors and AI Techniques for Situational Awareness in Autonomous Ships: A Review. IEEE Transactions on Intelligent Transportation Systems, 23, 64-83. https://doi.org/10.1109/tits.2020.3023957
Tu, E., Zhang, G., Rachmawati, L., Rajabally, E., & Huang, G. (2016). Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey From Data to Methodology. IEEE Transactions on Intelligent Transportation Systems, 19, 1559-1582. https://doi.org/10.1109/tits.2017.2724551
Valencia-Arias, A., Gómez-Bayona, L., Moreno-López, G., Sialer-Rivera, N., Bernal, O.-V., Gallegos, A., & Arias-Vargas, F. J. (2023). Research trends around open innovation in higher education: advancements and future direction. Frontiers in Education. https://doi.org/10.3389/feduc.2023.1146990
Vance, T., Wengren, M., Burger, E., Hernandez, D., Kearns, T., Medina-Lopez, E., Merati, N., O’brien, K., O’Neil, J., Potemra, J., Signell, R., & Wilcox, K. (2019). From the Oceans to the Cloud: Opportunities and Challenges for Data, Models, Computation and Workflows. Frontiers in Marine Science. https://doi.org/10.3389/fmars.2019.00211
Velástegui-Montoya, A., Montalvan-Burbano, N., Carrión-Mero, P., Rivera-Torres, H., Sadeck, L., & Adami, M. (2023). Google Earth Engine: A Global Analysis and Future Trends. Remote. Sens., 15, 3675. https://doi.org/10.3390/rs15143675
Vo, D., Nguyen, X., Nguyen, T., Hidayat, R., Huynh, T., & Nguyen, D. (2021). A review on the internet of thing (IoT) technologies in controlling ocean environment. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 47, 10064 - 10082. https://doi.org/10.1080/15567036.2021.1960932
Wang, C., Mouche, A., Tandeo, P., Stopa, J., Longépé, N., Erhard, G., Foster, R., Vandemark, D., & Chapron, B. (2019). A labelled ocean SAR imagery dataset of ten geophysical phenomena from Sentinel‐1 wave mode. Geoscience Data Journal, 6, 105 - 115. https://doi.org/10.1002/gdj3.73
Wang, H., Liu, Z., Liu, Z., Wang, X., & Wang, J. (2022). GIS-based analysis on the spatial patterns of global maritime accidents. Ocean Engineering. https://doi.org/10.1016/j.oceaneng.2022.110569
Wang, H., Liu, Z., Liu, Z., Wang, X., & Wang, J. (2022). GIS-based analysis on the spatial patterns of global maritime accidents. Ocean Engineering. https://doi.org/10.1016/j.oceaneng.2022.110569.
Wolsing, K., Roepert, L., Bauer, J., & Wehrle, K. (2022). Anomaly Detection in Maritime AIS Tracks: A Review of Recent Approaches. Journal of Marine Science and Engineering. https://doi.org/10.3390/jmse10010112
Won, W., Lim, M., & Kang, W. (2024). Estimating Accident Reduction Rate after Maritime Traffic Safety Assessment Using Synthetic Minority Oversampling Technique and Machine Learning Algorithm. Applied Sciences. https://doi.org/10.3390/app14083283
Wright, D., Janzen, C., Bochenek, R., Austin, J., & Page, E. (2019). Marine Observing Applications Using AIS: Automatic Identification System. Frontiers in Marine Science. https://doi.org/10.3389/fmars.2019.00537
Wu, J., Gan, W., Chao, H.-C., & Yu, P. S. (2024). Geospatial Big Data: Survey and Challenges. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 17007-17020. https://doi.org/10.1109/jstars.2024.3438376
Xia, H., Liu, Z., Maria, E., Liu, X., & Lin, C.-H. (2022). Study on City Digital Twin Technologies for Sustainable Smart City Design: a Review and Bibliometric Analysis of Geographic Information System and Building Information Modeling Integration. Sustainable Cities and Society. https://doi.org/10.1016/j.scs.2022.104009
Xin, X., Liu, K., Li, H., & Yang, Z. (2024). Maritime traffic partitioning: An adaptive semi-supervised spectral regularization approach for leveraging multi-graph evolutionary traffic interactions. Transportation Research Part C: Emerging Technologies. https://doi.org/10.1016/j.trc.2024.104670
Xin, X., Liu, K., Loughney, S., Wang, J., Li, H., Ekere, N., & Yang, Z. (2023). Multi-scale collision risk estimation for maritime traffic in complex port waters. Reliab. Eng. Syst. Saf., 240, 109554. https://doi.org/10.1016/j.ress.2023.109554
Xu, G., Shi, Y., Sun, X., & Shen, W. (2019). Internet of Things in Marine Environment Monitoring: A Review. Sensors (Basel, Switzerland), 19. https://doi.org/10.3390/s19071711
Xu, H., Wu, J., Pan, Q., Guan, X., & Guizani, M. (2023). A Survey on Digital Twin for Industrial Internet of Things: Applications, Technologies and Tools. IEEE Communications Surveys & Tutorials, 25, 2569-2598. https://doi.org/10.1109/comst.2023.3297395
Xu, S., Fu, Y., Xu, D., Han, S., Wu, M., Ju, X., Liu, M., Huang, D., & Guan, P. (2023). Mapping Research Trends of Medications for Multidrug-Resistant Pulmonary Tuberculosis Based on the Co-Occurrence of Specific Semantic Types in the MeSH Tree: A Bibliometric and Visualization-Based Analysis of PubMed Literature (1966–2020). Drug Design, Development and Therapy, 17, 2035 - 2049. https://doi.org/10.2147/dddt.s409604
Yang, C., Huang, Q., Li, Z., Liu, K., & Hu, F. (2017). Big Data and cloud computing: innovation opportunities and challenges. International Journal of Digital Earth, 10, 13 - 53. https://doi.org/10.1080/17538947.2016.1239771
Yang, D., Wu, L., Wang, S., Jia, H., & Li, K. X. (2019). How big data enriches maritime research – a critical review of Automatic Identification System (AIS) data applications. Transport Reviews, 39, 755 - 773. https://doi.org/10.1080/01441647.2019.1649315
Yang, J.-H., Yang, J.-Y., & Chang, Y. (2025). Toward Sustainable Development in the Ocean: A Framework for Blue Economy Marine Spatial Planning. Sustainable Development. https://doi.org/10.1002/sd.70183
Yang, T., Jiang, Z., Sun, R., Cheng, N., & Feng, H. (2020). Maritime Search and Rescue Based on Group Mobile Computing for Unmanned Aerial Vehicles and Unmanned Surface Vehicles. IEEE Transactions on Industrial Informatics, 16, 7700-7708. https://doi.org/10.1109/tii.2020.2974047
Yang, Y., Liu, Y., Li, G., Zhang, Z., & Liu, Y. (2024). Harnessing the power of Machine learning for AIS Data-Driven maritime Research: A comprehensive review. Transportation Research Part E: Logistics and Transportation Review. https://doi.org/10.1016/j.tre.2024.103426
Yang, Y., Shao, Z., Hu, Y., Mei, Q., Pan, J., Song, R., & Wang, P. (2022). Geographical spatial analysis and risk prediction based on machine learning for maritime traffic accidents: A case study of Fujian sea area. Ocean Engineering. https://doi.org/10.1016/j.oceaneng.2022.113106
Yıldız, S., Uğurlu, Ö., Loughney, S., Wang, J., & Tonoğlu, F. (2022). Spatial and statistical analysis of operational conditions influencing accident formation in narrow waterways: A Case Study of Istanbul Strait and Dover Strait. Ocean Engineering. https://doi.org/10.1016/j.oceaneng.2022.112647
Yosep, I., Hikmat, R., Mardhiyah, A., & Kurniawan, K. (2026). Trends and research hotspots in digital interventions for recovery in Schizophrenia: A Bibliometric analysis (2016–2025). International Journal of Africa Nursing Sciences. https://doi.org/10.1016/j.ijans.2026.101026
Yu, H., Zhang, F., Yu, H., & Li, Y. (2025). A Multi-Criteria Framework for Sustainable Marine Spatial Planning in Coastal Cities: Case Study in Shenzhen, China. Sustainability. https://doi.org/10.3390/su17104480
ZekiAbdAlsammed, S. M. (2021). Advanced GIS-based Multi-Function Support System for Identifying the Best Route. Baghdad Science Journal. https://doi.org/10.21123/bsj.2022.19.3.0631
Zhan, H.-X., Zhang, Y., Huang, J., Song, Y., Xing, L., Wu, J., & Gao, Z. (2024). A reinforcement learning-based evolutionary algorithm for the unmanned aerial vehicles maritime search and rescue path planning problem considering multiple rescue centers. Memetic Computing, 16, 373 - 386. https://doi.org/10.1007/s12293-024-00420-8
Zhang, D., Zhan, J., Tan, L., Gao, Y., & Zupan, R. (2020). Comparison of two deep learning methods for ship target recognition with optical remotely sensed data. Neural Computing and Applications, 33, 4639 - 4649. https://doi.org/10.1007/s00521-020-05307-6
Zhang, Q., Fan, H., Qin, Y., & Zhou, Y. (2025). Advances in Interferometric Synthetic Aperture Radar Technology and Systems and Recent Advances in Chinese SAR Missions. Sensors (Basel, Switzerland), 25. https://doi.org/10.3390/s25154616
Zhang, T., Zhang, X., Liu, C., Shi, J., Wei, S., Ahmad, I., Zhan, X., Zhou, Y., Pan, D., Li, J., & Su, H. (2021). Balance learning for ship detection from synthetic aperture radar remote sensing imagery. ISPRS Journal of Photogrammetry and Remote Sensing. https://doi.org/10.1016/j.isprsjprs.2021.10.010
Zhang, W., Chen, G., & Yang, Z. (2025). Auction- and Pheromone-Based Multi-UAV Cooperative Search and Rescue in Maritime Environments. Drones. https://doi.org/10.3390/drones9110794
Zhang, X., Tan, R., Lam, W., Yao, L., Wang, X., Cheng, C.-W., Liu, F., Chan, J. C. P., Aixinjueluo, Q.-Y., Lau, C., Chen, Y., Yang, K., Wu, T., Lyu, A., & Bian, Z. (2020). PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) Extension for Chinese Herbal Medicines 2020 (PRISMA-CHM 2020).. The American journal of Chinese medicine, 1-35 . https://doi.org/10.1142/s0192415x20500639
Zhang, X., Zhang, C., Chen, X., & Su, P. (2024). Evaluation of the vulnerability of Huanghe estuary coastal wetlands to marine oil spill stress. Frontiers in Marine Science. https://doi.org/10.3389/fmars.2024.1481868
Zissis, D., Chatzikokolakis, K., Spiliopoulos, G., & Vodas, M. (2020). A Distributed Spatial Method for Modeling Maritime Routes. IEEE Access, 8, 47556-47568. https://doi.org/10.1109/access.2020.2979612