Alan Leidner, Josh Lieberman, et al: Modernizing NSDI’s and SDI’s: A Surface Fabric/Wireframe – Tile Approach

This proposal introduces a Surface Fabric/Wireframe–Tile model for building comprehensive and interoperable National Spatial Data Infrastructures (NSDIs) by integrating high-resolution imagery, elevation, boundary data, and local geospatial layers into a standardized, modular system.

The model emphasizes using existing public and private data investments while ensuring consistency, connectivity, and scalability for diverse national, state, tribal, and local use cases.

Key Features

  • Surface Fabric
    A 2D/3D elevation-aware base map built from the highest resolution imagery and LiDAR data (e.g., USGS 3DEP, USDA NAIP). Continuously updated through aerial, satellite, and drone imagery to ensure accuracy and completeness. Serves as the authoritative visual and spatial base for all geospatial data alignment.
  • Wireframe and Tiles
    Uses Census Bureau boundary files as a universal wireframe representing political and administrative jurisdictions. Divides the surface into interoperable “tiles” for each jurisdiction (local, tribal, state). Ensures seamless connectivity for networked features (e.g., roads, utilities) across jurisdictions.
  • Integration of Existing Data Assets
    Leverages decades of spatial data from federal, state, local, tribal, and private organizations. Examples include HIFLD infrastructure layers, NGA satellite imagery (NUDL), and ESRI Community Maps. Supports standardization and aggregation of local data to fit the national framework.
  • Governance, Architecture & Standards
    Proposes GeoCONOPS, federated cloud architecture, and AI-driven indexing for rapid data access. Incorporates data models, maturity models, and performance specifications for consistent use across sectors. Includes frameworks like CityGML, MUDDI, and standards like ASCE 38 for underground infrastructure.

Benefits and Impact

  • Preserves and Leverages Existing Investments
    Unlocks the value of hundreds of millions of dollars in previously collected geospatial data.
  • Supports Seamless Multi-Jurisdictional Collaboration
    Standardized tiles allow consistent data integration for regional planning, emergency response, and public services.
  • Enhances Disaster Preparedness and Real-Time Response
    Facilitates rapid development of common operating pictures (COPs) during emergencies.
  • Boosts National ROI
    An integrated NSDI provides multi-billion-dollar annual benefits through improved governance, service delivery, and innovation.
  • Accelerates Deployment through Demonstration Projects
    Regions such as NYC, DC, North Carolina, and Oregon are ready for pilot implementations.

Use Cases

  • Disaster response and emergency management
  • Urban and regional planning
  • Transportation and mobility analytics
  • Governance and resource allocation
  • Data standardization and infrastructure modeling
  • Public health, housing, and economic analysis