Typical data models are inadequate for hypertemporal imagery

We highlight challenges associated with using conventional pattern recognition methods to test imagery from a persistent longwave infrared remote sensing experiment, where material surface emissivity and temperature among other factors dominate the apparent radiance observed at the sensor. We also propose a superior data model for the task.