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Research Paper | Geoinformatics | Volume 15 Issue 3, March 2026 | Pages: 571 - 576 | India
From Mapping to Prediction: A Conceptual Framework for Digital Surveying in Disaster Management
Abstract: Disasters caused by natural and human activities are increasing in frequency and complexity, requiring geospatial systems that go beyond post-event mapping to enable prediction and proactive measures. This paper discusses how digital surveying can become a predictive tool for disaster management by integrating technologies such as Geographic Information Systems, remote sensing, Global Navigation Satellite Systems, unmanned aerial vehicles, LiDAR, Internet of Things sensors, artificial intelligence, and digital twins. These advancements establish a continuous spatial-temporal process that converts raw data into valuable insights. The paper introduces a conceptual framework with six interconnected stages: data collection from various sources, data integration into unified platforms, analytics for identifying patterns, risk scenario prediction, decision support through visualizations, and feedback loops for system enhancement. Despite challenges like data interoperability, quality assurance, technical skill gaps, infrastructure limitations in developing regions, and privacy concerns, this predictive approach ultimately boosts disaster resilience through better situational awareness, informed decision-making, and timely risk mitigation across all phases of management.
Keywords: Digital surveying, disaster management, predictive frameworks, geospatial technologies, disaster resilience
How to Cite?: Dr. Ameen Salam A, "From Mapping to Prediction: A Conceptual Framework for Digital Surveying in Disaster Management", Volume 15 Issue 3, March 2026, International Journal of Science and Research (IJSR), Pages: 571-576, https://www.ijsr.net/getabstract.php?paperid=SR26307215213, DOI: https://dx.dx.doi.org/10.21275/SR26307215213