Results
 
Introduction
Methodology
Results
Conclusions
References

 

   Results:

    The linear regression model yielded a good relationship between the in-situ data and satellite pixel values. The model for July 16, 2002 yielded an R2 of 0.93,(Fig.5) and an R2 of 0.90 (Fig.6) for August 01, 2002 image. This indicates that LandSat 7 ETM + Could be used to remotely sense water turbidity. The present results could be used to develop water quality maps .

    The spatial nature of the water quality maps allows the resource manager to have a snapshot in time of the water conditions over an entire lake or reservoir. These maps can be used to document baseline conditions, determine areas of significant point or non-point source water pollution, or document the affect of management activities intended to improve lake water quality.

 

 

 

 

 

 

 

 

 

 

 

 

Fig 14 Regression Model for July 16, 2002
Fig 15 Regression Model for August 01, 2002

 

                                

 

 

 

 

 

 

     

Introduction | Methodology | Results | Conclusions | References