Hierarchical Data Format - Earth Observing System (HDF-EOS)

Introduction to HDF-EOS

Hierarchical Data Format (HDF) is the standard data format for all NASA Earth Observing System (EOS) data products. HDF is a multi-object file format developed by The HDF Group.

The HDF Group developed HDF to assist users in the transfer and manipulation of scientific data across diverse operating systems and computer platforms, using FORTRAN and C calling interfaces and utilities. HDF supports a variety of data types: n-Dimensional scientific data arrays, tables, text annotations, several types of raster images and their associated color palettes, and metadata. The HDF library contains interfaces for storing and retrieving these data types in either compressed or uncompressed formats.

For each data object in an HDF file, predefined tags identify the type, amount, and dimensions of the data; and the file location of various objects. The self-describing capability of HDF files helps users to fully understand the file's structure and contents from the information stored in the file itself. A program interprets and identifies tag types in an HDF file and processes the corresponding data. A single HDF file can also accommodate different data types, such as symbolic, numerical, and graphical data; however, raster images and multidimensional arrays are often not geolocated. Because many earth science data structures need to be geolocated, The HDF Group developed the HDF-EOS format with additional conventions and data types for HDF files.

HDF-EOS supports three geospatial data types: grid, point, and swath, providing uniform access to diverse data types in a geospatial context. The HDF-EOS software library allows a user to query or subset the contents of a data file by spatial or temporal coverage. Tools that process standard HDF files also read HDF-EOS files; however, standard HDF library calls cannot access spatial or temporal data and product metadata as easily as with HDF-EOS library calls.