= 040. - 
3. The pixels and pixel groups will be described and clustered into 
management groups. 
4. A classification will be made based upon this clustering. Holes 
in the classification will be identified and additional low flight 
(large-scale) photo coverage obtained. 
5. Step 2 and 3 will be repeated, and a revised classification made 
and analyzed. 
6. Check plots will be selected for field examination. Accuracy of 
classification will be ascertained and steps 2 through 6 repeated until a 
satisfactory classification is obtained. 
This is a simplified overview of the inventory process. We did not 
intend to delve into the technical aspects of the classification system 
itself in this paper. The aspect to be emphasized is the use of CIR low 
flight photography to enhance "ground-truth" knowledge and improve 
inventory efficiency. 
Applications of Low Flight CIR Photography as a Tool in Remote Sensing 
The use of low flight CIR photography as a tool in obtaining ground-truth 
data is relatively new. Requests from other agencies and within the 
Forest Service indicate an increasing realization of the value of this 
photographic tool. Projects which have utilized this technique to date 
include detection of forest insect and disease infestations, crop stress, 
vegetative classification and inventory, wetlands inventory, and location 
of erosion and sediment problems.