4113Engineering is a specialized engineering firm focused on advancing geospatial data standards and developing innovative solutions for spatial data management. We bridge the gap between complex international standards and practical implementation, enabling organizations to manage their geospatial assets with confidence and compliance.
Through our work with the Open Geospatial Consortium (OGC), SpatioTemporal Asset Catalog (STAC) community, and international standards bodies, we deliver cutting-edge solutions that combine technical excellence with real-world applicability.
Deep expertise in ISO 19115, ISO 19115-4, OGC standards, and W3C PROV for comprehensive geospatial metadata and provenance management.
Development and implementation of SpatioTemporal Asset Catalog extensions for specialized use cases including liability tracking, claims management, and data quality reporting.
Ensuring compliance with OGC Building Blocks standards and facilitating interoperability across geospatial systems and platforms.
Comprehensive data quality frameworks implementing ISO 19115 completeness, accuracy, and lineage specifications with full provenance tracking.
Bridging geospatial and semantic web communities through W3C PROV integration, enabling SPARQL queries and Linked Data platforms.
Specialized solutions for tracking environmental incidents, insurance claims, and legal compliance related to spatial data assets.
A comprehensive STAC extension providing fields for documenting liability information and claims associated with geospatial data. Supports environmental liability tracking, insurance claims management, legal compliance, and damage assessment.
A comprehensive geospatial platform for creating shared situational awareness across teams and organizations. Provides real-time visualization and analysis of spatial data for operational decision-making.
4113Engineering is partner of the AIDGGS project contributing in the definition of the COP to merge geospatial trusted data and data derived from Retrieval Augmented Generation on Large Language Models.
Free available Qgis plugin on Github.
A platform for sharing and distributing Common Operating Picture data across organizations and teams. Facilitates collaborative geospatial intelligence and situational awareness through secure data sharing mechanisms and standardized formats.
A QGIS 3.x plugin (v2.0.0) that imports any GDAL-readable raster, automatically georeferences it using RDF/TTL Ground Control Points, exports to 15+ output formats, extracts ISO 19115-4 imagery metadata, and generates W3C PROV-O provenance records and STAC 1.0 Items enriched with the Imagery Domain Ontology (IDO v1.1.0) extension.
Plugin tabs
Key capabilities
_provenance.ttl) + JSON sidecar (_provenance.json)Patient Data Management
Manage and organize patient records with secure, structured data and flexible access control.
Hyperspectral Imaging Support
Work with hyperspectral data across multiple formats with powerful visualization and browsing tools.
Select and identify archaeological sites through interactive map tools and geospatial data integration.
Store, classify, and manage archaeological site data with structured metadata and access levels.
Handle hyperspectral datasets and link them directly to archaeological sites.
Apply advanced hyperspectral processing tailored for archaeological analysis.
Explore and interpret hyperspectral data with flexible visualization tools.
Ensure interoperability, traceability, and data integrity through modern standards and decentralized storage.
Integrates UAV image georeferencing (GCPs + IMU), asbestos-specific hyperspectral processing, Italian cadastral (catasto) metadata, STAC-compliant metadata generation, and blockchain-anchored IPFS storage into a unified workflow.
Navigate the system through modular tabs, each focused on a specific workflow stage.
Select, locate, and enrich archaeological or environmental sites with geospatial and cadastral data.
Convert raw UAV hyperspectral imagery into spatially accurate datasets.
Manage and organize hyperspectral datasets linked to specific sites.
Apply advanced spectral analysis tailored for asbestos detection and environmental assessment.
Interactively explore hyperspectral data and analysis results.
Ensure compliance, traceability, and official documentation generation.
dq:quality and dq:lineage metadataSecure, verify, and preserve processed data with decentralized technologies.
We work with leading international standards to ensure interoperability and compliance across geospatial systems
Geographic information metadata standards including imagery and gridded data extensions
Open Geospatial Consortium Building Blocks and API specifications
Provenance model for semantic web integration and linked data
SpatioTemporal Asset Catalog for cloud-native geospatial metadata
Unified Metadata Model compatibility for earth science data
Defence Geospatial Information Working Group quality standards
Document environmental incidents, track affected geographic areas, and manage associated claims with full spatial and temporal context.
Link geospatial data with insurance claims, coverage information, and damage assessments for efficient claims processing.
Track legal jurisdictions, responsible parties, resolution status, and maintain comprehensive audit trails for regulatory compliance.
Implement comprehensive quality reporting for satellite imagery and remote sensing data with ISO 19115-4 compliance.
Apply DGIWG quality standards for defense geospatial information with absolute and relative positional accuracy requirements.
Track provenance and quality metadata for machine learning training datasets with OGC TrainingDML-AI compatibility.
