Spatial Data Infrastructure (SDI) is a framework of technologies, policies, standards, and data that enables the effective collection, storage, sharing, and use of spatial (geospatial) data across different organizations, governments, and the public. It facilitates interoperability, accessibility, and efficient decision-making in spatial data management.
✅ Improves Data Accessibility – Facilitates open data sharing between agencies and the public.
✅ Enhances Decision-Making – Supports urban planning, environmental monitoring, and disaster response.
✅ Ensures Interoperability – Promotes standardized data formats and integration across platforms.
✅ Supports Smart Cities & Development – Provides geospatial insights for infrastructure, transportation, and resource management.
SDI transforms raw geospatial data into actionable insights, making it a crucial tool for governments, businesses, and researchers in managing spatial resources.
🔹 INSPIRE (EU) – The Infrastructure for Spatial Information in the European Community, standardizing geospatial data sharing across Europe.
🔹 US National Spatial Data Infrastructure (NSDI) – Managed by the U.S. Federal Geographic Data Committee (FGDC) for public geospatial data.
🔹 United Nations Global Geospatial Information Management (UN-GGIM) – Promotes geospatial data governance worldwide.
🔹 GeoSUR (Latin America) – A regional SDI providing access to maps, satellite imagery, and GIS services.
🔹 India NSDI – National geospatial platform supporting urban planning, disaster management, and agriculture.
📍 Example: A government uses SDI to integrate geospatial data from multiple agencies, helping in disaster response and infrastructure planning.