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NITF (National Imagery Transmission Format) is a specialized imagery data format developed by the United States Department of Defense, primarily for the storage and transmission of high-definition grayscale and color imagery for military and intelligence purposes. This format supports multiple compression methods (such as JPEG and JPEG2000) and integrates text, graphics, and metadata into a single file, conforming to the ISO/IEC 15444-1 standard. Features include high-precision geographic coordinate support (via IGELO or RPC metadata) and cross-platform compatibility (parsable with tools such as GDAL), making it widely used for satellite imagery, aerial photography, and government data exchange.

SAIF (Spatial Archive and Interchange Format) is an open geographic data standard developed under the leadership of the Canadian government. It uses an object-oriented multiple inheritance model to build a standardized framework containing more than 300 basic classes. It realizes one-to-many data conversion and interoperability across GIS platforms and database systems through the SAIF/ZIP compression mechanism, providing a unified intermediate exchange format for multi-source heterogeneous geographic spatial data. It is particularly suitable for cross-platform data sharing scenarios that require compatibility with multiple commercial software and databases.

TIGER is a topological vector data model developed by the U.S. Census Bureau for storing and managing geospatial data. This model explicitly records the topological relationships between points, lines, and surfaces, preserving spatial adjacency information between objects. It is widely used in fields such as demographics and urban planning. Its data format supports efficient spatial query and analysis, forming a crucial foundation for early Geographic Information Systems (GIS).

LandXML is an XML-based civil engineering data exchange format primarily used for sharing infrastructure design data such as roads, terrain, and land parcels between different CAD platforms. It uses standardized data structures to transfer geometric information (such as surfaces and COGO points) and attribute data between software like Autodesk Civil 3D. It supports specialized parameters such as northing/easting/elevation coordinate systems and station number disconnection. This format is particularly suitable for terrain processing and survey data import, effectively reducing model conversion time and maintaining data integrity.

FlatGeobuf is a high-performance binary-encoded vector geographic data format designed for processing large-scale static geographic data. It utilizes FlatBuffers technology for compact storage and fast read/write speeds. It features a built-in Packed Hilbert R-Tree spatial index and supports streaming and on-demand loading, significantly improving network transmission efficiency and rendering speed. It is particularly well-suited for scenarios requiring efficient processing of massive amounts of geospatial data. As an open-source format, FlatGeobuf is compatible with mainstream tools such as GDAL, QGIS, and GeoServer, and supports multi-language implementations, making it an ideal alternative to traditional Shapefiles and GeoJSON.

SXF (Russian State Surveying Format) is a proprietary format used by the Russian Federation to store and process geospatial data. It is primarily used in national surveying and mapping projects, such as topographic maps and cadastral surveys. This format supports structured storage of both vector and raster data, including coordinate systems and attribute tables, and complies with Russian national surveying and mapping standards. Designed to balance data accuracy and localization requirements, it is commonly used by government surveying and mapping agencies and related professional software.

CityGML, an international standard for the exchange of 3D city model data developed by the Open Geospatial Consortium (OGC), uses XML encoding to uniformly describe the geometric, topological, semantic, and appearance attributes of urban elements.

JPGIS (Japan Geographic Information Standard) is a geographic information standardization system developed by the Geographical Survey Institute of Japan.

VRML is the abbreviation of Virtual Reality Modeling Language. It was created mainly to solve the problem of realizing 3D animation effects and user interaction based on 3D objects in web pages. VRML files are usually used to describe 3D virtual environments, containing information such as vertices, edges, and colors of polygons. Using VRML, developers can create interactive 3D scenes that can be displayed on web pages. VRML files use the extension .wrl (world file) and are stored in text format, which has good readability and is easy to edit manually.

GRIB (GRIDded Binary) is a standard file format for storing and transmitting meteorological data, designed by the World Meteorological Organization (WMO). It is mainly used to describe rasterized meteorological data, such as temperature, humidity, wind speed, precipitation, etc. GRIB files store data in binary form, which is efficient and has a high compression rate, so it has become one of the main data formats in the meteorological field.