Full text: Proceedings of the international symposium on remote sensing for observation and inventory of earth resources and the endangered environment (Volume 1)

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The Five Columbia Counties Nonpoint Study is a newly initiated USDA 
project. The primary objective is to locate, identify, and quantify 
erosion and sediment problems. Crop and resource productivity will also 
be quantified. Resource inventories will be conducted to satisfy these 
needs. 
The Goose Lake Study provided little opportunity to do more than explore 
the possibility that CIR photography could assist in obtaining accurate 
"ground-truth" data. The Nonpoint Study will have a start-to-finish 
opportunity with statistical backup of the value of CIR photography. 
This work will be reported in a later paper. 
METHODOLOGY 
LANDSAT Program 
The LANDSAT program used for this paper was the PIXSYS system developed 
at Oregon State University. This system has been previously described by 
James Herzog and Roy Rathja and by R. J. Murray and Dr. Barry Schrumpf, 
all of whom are or were associated with the University. 
Experience with this system has shown that the chance of success of any 
classification system based upon remotely sensed data may be greatly 
increased by complete and accurate descriptions (ground-truth) of the 
selected field plots. It has also become apparant that neither the 
resource planner nor the classification personnel can provide this 
description independent of each other. 
This paper demonstrates one means of enhancing the knowledge of both ghe 
resource planner and, in this case, the University personnel, of . the 
selected "ground-truth" plots. 
"Ground-truth" 
The first effort to classify the Goose Lake area utilised only U-2 ghoto- 
graphy, USGS quadrangle sheets, some local black and white high elevation 
photography, and 35 mm slides taken by field personnel at the time plots 
were visited. 
      
   
   
    
  
   
    
  
  
  
  
  
   
    
   
  
  
  
   
   
  
  
  
  
  
  
  
  
   
  
  
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