Development of an Integrated Natural and Socioeconomic Indicators Monitoring System for Bulacan Using Earth Intelligence Tools

Abstract

This study introduces an Integrated Natural and Socioeconomic Indicators Monitoring System for Bulacan, designed to strengthen local flood risk assessment and enhance disaster preparedness. Recognizing gaps in current methodologies, this research integrates Earth intelligence tools, incorporating real-time satellite imagery, geospatial analyses, socioeconomic indicators, and localized datasets. The primary objective is to provide an accurate, dynamic platform for predictive analytics, prescriptive mitigation, and real-time flood risk monitoring. Methodologically, the study employs a Single Page Application (SPA) architecture hosted on cloud infrastructure, utilizing React.js for visualization and a Django REST API for data management. Stakeholder evaluations conducted in Meycauayan City and surrounding barangays revealed significant improvements in flood prediction accuracy, enhanced decision-making speed, and increased overall user satisfaction. Challenges encountered during system implementation included complexities in data integration and maintaining consistent responsiveness during peak usage. The research concludes that the developed system effectively addresses critical limitations of fragmented disaster response mechanisms. Key recommendations include continuous technological enhancement, comprehensive stakeholder training, and broader integration of hazard datasets to further augment disaster resilience capabilities in Bulacan.