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All Journal PENDIPA Journal of Science Education International Journal of Education, Vocational and Social Science
Sekar Dwianti, Fitri Anggraeni
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Chemistry Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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The Bibliometric Mapping for Geospatial Intelligence in Remote Sensing-Based Maritime Weather Warning Systems: Bibliometric Mapping for Geospatial Intelligence in Remote Sensing-Based Maritime Weather Warning Systems Sekar Dwianti, Fitri Anggraeni; Trismadi; Arief, Syachrul; Supriyadi, Asep Adang
PendIPA Journal of Science Education Vol 10 No 1 (2026): January - March
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pendipa.10.1.192-203

Abstract

The safety of shipping and the resilience of maritime infrastructure are affected by the accuracy of the early warning system against extreme weather. The use of Geospatial Intelligence (GEOINT) acts as an integrative framework that combines remote sensing data, spatial analysis, and the interpretation of geographic information for the increasing need for technology-based early detection in the face of increasingly complex marine climate dynamics, both for civilian and national defense interests. The purpose of this research is to analyze the development of global research over the past 25 years on this topic, as well as relate it to maritime infrastructure defense and resilience policies. The methodology used is bibliometric with a quantitative analysis approach to Scopus and Google Scholar publication data, as well as visualization using VOSviewer. The analysis includes the mapping of keyword trends, thematic clusters, institutional actors, and the evolution of research related to GEOINT, remote sensing, and maritime early warning systems. The results show significant improvements in the topic of satellite utilization (MODIS, Sentinel) and the integration of GEOINT big data and spatial analytics for early warning systems, but research on its application in the context of maritime defense policy is still limited. These findings provide strategic direction for the development of GEOINT as a data-driven policy support instrument that supports national shipping resilience and military preparedness in strategic maritime areas. The study also recommends a cross-sectoral research agenda that is more adaptive to the threat of extreme marine weather.
Bibliometric Analysis of the Utilization of Remote Sensing in Post-Disaster Environmental Recovery Sekar Dwianti, Fitri Anggraeni; Trismadi; Syachrul Arief; Asep Adang Supriyadi
International Journal of Education, Vocational and Social Science Vol. 5 No. 01 (2026): International Journal of Education, Vocational and Social Science( IJVESS)
Publisher : Cita konsultindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijevss.v5i01.2746

Abstract

Remote sensing is a strategic technology in spatial data collection that plays an important role in supporting post-disaster mitigation through the provision of fast, accurate, and wide-ranging information without direct interaction with affected areas. As the frequency and impact of natural disasters increase, a comprehensive study is needed to understand the development of research related to the use of remote sensing in environmental damage assessment and post-disaster recovery processes. This study uses bibliometric mapping methods to analyze international scientific publications that discuss the use of remote sensing in environmental damage assessment and post-disaster recovery over a period of 15 years. Data were obtained from reputable international journal databases Scopus and Google Scholar which were analyzed using VOSviewer software to identify patterns of author collaboration, major journals, and keyword co-occurrence. This analysis aims to map the knowledge structure, research trends, and dominant topics in the field. The results of the study show a significant increase in publications related to remote sensing, with a dominant focus on the use of satellite imagery for disaster impact identification, mapping environmental damage, and monitoring long-term environmental changes.
Co-Authors Arief, Syachrul Supriyadi, Asep Adang Syachrul Arief Trismadi