Chamoli District in Uttarakhand, India, has faced a surge in landslides, notably intensified by the 2021 glacier burst. This paper presents a rapid risk assessment using geospatial datasets from open sources and advanced GIS techniques. The study scrutinizes factors like elevation, aspect, slope, roads, geology, landcover, and landslide hazard zonation maps from reliable sources. Results reveal 623 landslides, with elevation, aspect, and proximity to roads as predominant triggers in the Chamoli district of Uttarakhand state. Notably, the landslide hazard zonation map prepared and published by the Uttarakhand State Disaster Management Authourity aligns accurately with recorded landslides, validating its efficacy. This approach showcases the synergy of open geospatial data and spatial analysis in unravelling complex landscape dynamics, emphasizing their pivotal role in efficient landslide studies. The study not only accentuates the significance of open data but underscores the potency of spatial analysis for comprehensive rapid landslide risk assessment, crucial for informed mitigation in geohazard-prone regions. Geotechnical remedial measures for landslide-prone road sections are recommended, ensuring resilience and safety of critical transportation infrastructure.