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Geospatial Metadata & Standards

Proper metadata is critical in geospatial science — without knowing a dataset's coordinate reference system, temporal extent, or spatial resolution, the data is effectively unusable. Several well-established standards govern how geospatial metadata is created and shared.


Core Metadata Standards

ISO 19115 / ISO 19139

The international standard for geographic information metadata. ISO 19115 defines the schema; ISO 19139 provides the XML encoding.

  • Use: Official metadata records, data portals, INSPIRE compliance
  • Key fields: Title, abstract, spatial extent, temporal extent, CRS, lineage, contact information
  • Spec: ISO 19115

INSPIRE Metadata

The European Union's spatial data infrastructure directive requires metadata conforming to ISO 19115 with additional INSPIRE-specific requirements.

Dublin Core (with spatial extensions)

A general-purpose metadata standard that can be extended with geospatial elements (coverage, spatial).

  • Use: Simple metadata for data catalogs and repositories
  • Spec: Dublin Core

STAC (SpatioTemporal Asset Catalog)

A modern, JSON-based metadata specification designed for Earth observation data. Describes spatiotemporal assets with standardized fields and extensions.

  • Use: Satellite data catalogs, cloud-native data discovery
  • Key fields: Bounding box, datetime, assets (links to data files), properties
  • Spec: STAC Spec

Coordinate Reference Systems (CRS)

Understanding CRS is fundamental to all geospatial work:

  • WGS 84 (EPSG:4326) — The most common geographic CRS (latitude/longitude), used by GPS
  • UTM Zones (EPSG:326xx) — Projected CRS for metric measurements, divided into 60 zones globally
  • ETRS89 (EPSG:4258) — European Terrestrial Reference System, standard for European data
  • Web Mercator (EPSG:3857) — Used by web maps (Google Maps, OpenStreetMap), distorts area

Best practice: Always document the CRS (as an EPSG code) in your metadata. Use projected CRS (e.g., UTM) for area/distance calculations, and geographic CRS (e.g., WGS 84) for data exchange.

  • Lookup tool: EPSG.io — Search and convert CRS codes

Ontologies and Vocabularies

CF Conventions (Climate and Forecast)

Standard names and units for climate and forecast data, used with NetCDF files.

GEMET (General Multilingual Environmental Thesaurus)

A controlled vocabulary for environmental topics, used in INSPIRE metadata.

GCMD Keywords (NASA)

Hierarchical keywords for Earth science data discovery.


Best Practices

  1. Always include CRS information — Either embedded in the file (GeoTIFF) or documented in metadata
  2. Document spatial and temporal extent — Bounding box, date range, temporal resolution
  3. Specify data lineage — Processing chain from raw data to analysis-ready products
  4. Use standard vocabularies — CF Conventions for climate data, GCMD keywords for discovery
  5. Provide data quality information — Accuracy, completeness, positional uncertainty