Floods are recurring disasters that cause significant human, economic, and environmental losses in Northern India. While government-led disaster management has traditionally focused on top-down response measures, Community-Based Disaster Risk Reduction (CBDRR) has emerged as an effective strategy to empower local communities in both preparing for and responding to flood events. This study evaluates the effectiveness of CBDRR initiatives in flood-prone areas of Northern India through the integration of remote sensing, Geographic Information Systems (GIS), and participatory mapping techniques. By analysing satellite imagery (Sentinel-2 and Sentinel-1) alongside socio-economic data and primary field surveys from selected districts, the research identifies patterns of flood inundation, measures exposure, and determines the resilience of communities participating in CBDRR programmes. The findings indicate that areas with active community engagement show improved early warning response, more effective evacuation practices, and reduced economic losses compared to regions without such initiatives. In addition, the study illustrates how geospatial tools can enhance the monitoring and evaluation of CBDRR efforts, thus offering actionable insights for policy improvement. The paper concludes with recommendations for integrating advanced geospatial technologies with community-led initiatives to build long-term flood resilience in Northern India.