Remote sensing refers to the tele-observational surveying and mapping of physical, urban and environmental features. Remote Sensing is also a composite of many other subjects such as aerial photography, radar surveying, thermal surveying, weather forecasting and photogrammetry. It has now become quite common practice to use remotely sensed data to take inventory, monitor and develop effective management practices of our natural resources.

It is the purpose of this paper to further enhance the understanding of remotely sensed data in such a way that we may assist the human brain in the extraction and interpretation of this data through digital image analysis data manipulation techniques, such as rectification, enhancement and classification. The application of conventional and non-conventional image enhancement /classification procedures will be applied to

- unsupervised classification, histogram equalization, clustering

Refers to the process whereby one observes, classifies. and analysis specific targets or features found on the imagery and defines and explains the importance of those results.

Methods of classification utilized in this project include:

- colour and histogram image enhancement

Some common words found in the essay are:
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Approximate Word count = 636
Approximate Pages = 3 (250 words per page double spaced)