jCube processes "cubes" of multi-temporal imagery. The image cuves have at least 3-dimensions: x,y, and time, and often are 4-dimensional (x, y, color, and time).
Multi-temporal imagery is a time series of images of a specific area of interest or subject. The idea in any multi-temporal processing is to somehow combine the many images into something new an more useful than the individual images. Some examples are:
- enhance spatial resolution and dynamic range
- track animal migrations
- monitor geological changes, such as shorelines (example below)
Left: Single image of upper Gulf of California. Right: multiple images processed into a inter tidal zone map.
The number of images varies from a few to hundreds. The time between consecutive images may be seconds to years, depending on the application.
jCube is accessed by logging on a remote server over an Internet connection. The links on the left lead to more information and instructions for using jCube. The Quick start link takes you through a sample data set from start to finish. After this exercise you can repeat with other data sets, or use jCube on your own data.
Last update of this page was on March 9, 2009
Contact jCube@jOmegak.com for more information about jCube.
© 2008 jOmegak