The GEOINT-TEC Test Data suite comprises a variety of data to enable the full spectrum of testing. It contains a basic dataset, a products dataset, a source dataset, National Enterprise Architecture (NEA) dataset, and negative test cases.
BASIC DATASET [back to top]
The basic dataset contains examples of NITF files that are operationally representative of general tactical products a user would encounter during operations, and are intended for use by developers for developmental testing of implementations. These files are generic in nature and are meant to provide a uniform, compliant “canned” dataset. This includes data that conforms to NITF 2.0, NITF 2.1/NSIF 1.0, STDI-0001 and -0002, and contain a variety of Tagged Record Extensions, Data Extension Segments, Graphics (CGM), and compression rates.
PRODUCTS DATASET [back to top]
The products dataset contains generic examples of products users would encounter during normal operations. This includes Synthetic Aperture Radar, Hyperspectral Imagery, LiDAR, SICD, SIDD, CADRG, ECRG, High Resolution Elevation, Digital Point Positioning Database, Controlled Image Base, ECIB.
SOURCE DATASET [back to top]
The source dataset contains examples of specific platforms that might be encountered during operations. They are designed to function like original source data to incorporate the same variety of metadata and data that would be encountered in normal operations. This dataset simulates sources such as Buckeye, Global Hawk, JSTARS, Predator, and other similar sources.
NATIONAL ENTERPRISE ARCHITECTURE (NEA) DATASET [back to top]
The NEA dataset contains files that test enterprise level standards, specifically addressing the JIE requirements for information to be visible, accessible, understandable, and trusted.
NEGATIVE TEST CASES [back to top]
Negative test cases contain files that are specifically designed to test an implementation’s ability to properly handle incorrectly built data. It contains a variety of false data, from incorrect security markings, improper geo-coordinate and projection information, to invalid or unregistered field values. This dataset allows the testing of guards, processors, and producers who ingest, exploit, or modify existing data to ensure conformance on intake. This dataset is intended mainly for libraries, networks, and exploitation applications which must validate the compliance of ingested data.