Remotely sensed data, and satellite imagery in particular, can provide
relatively inexpensive, repetitive datasets that can either augment or
replace expensive and often time consuming ground based monitoring programs.
Images provide an instantaneous view of surface phenomena over large,
continuous areas that may be inaccessible on the ground due to physical
or political reasons... and they can provide dramatic (and beautiful)
representations of the Earth.
As a checklist, you should now be able to explain how (or why):
- data processing yields information that leads to knowledge
- Earth observation data are used for a diverse range of applications
by public and private sector organisations
- remotely sensed data feed the GIS machine with cost-effective and
- the volume of remotely sensed data has increased at ever increasing
rates and will continue to increase as we move into the next century
- image processing is likely to be the main bottleneck