Full text: Proceedings, XXth congress (Part 7)

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B7. Istanbul 2004 
  
5. Conclusions 
With IKONOS imagery our administration gained raster and 
vector data in a quick,effective and economic way.With the fact 
that the illegal construction is dynamic in the catchment areas a 
conclusion can be drawn that remote sensing and integrated GIS 
is essential with this project which is continuing . 
While we feel that current remote sensing technologies have 
many actual and potential applications for assessing water 
resources and for monitoring the progress of clean-up 
efforts,limitations in spectral and spatial resolution of current 
sensors on satellites currently restrict the wide use of satellite 
data for monitoring water quality.New satellites(IKONOS,etc.) . 
and  sensors(hyperspectralhigh spatial resolution)already 
launched or planned to be launched over the next decade will 
provide the improved spectral and spatial resolutions needed to 
monitor water quality parameters in surface waters from space 
platforms. 
6.References 
Aksu, O., Onder, M., Iscan, L., Atak, O., Lenk, O., and Gurdal, 
M. A., 2003. Accuracy Assesment of High Resolution Satellite 
Images. General Command of Mapping of Turkey Report. 
Kloiber, S., M., Brezonik, P., L., Olmanson, L., G., and Bauer, 
M., E., 2001a. Development of a Remote Sensing Method for 
Synoptic, Regional Water Quality Assessment. Remote Sensing 
of Environment.(in review) 
Olmanson, L. G., Kloiber, S. M., Bauer, M. E., and Brezonik, 
P. L., 2001a. Image Processing Protocol For Regional 
Asessments of Lake Water Quality. Public Report Series #14, 
pp.1-12. 
  
Ritchie, J., and Cooper, C. M., 2000a. Remote Sensing 
Techniques for Determining Water Quality:Applications to 
TMDLs. 
Sawaya, K. E., Olmanson, L. G., Heinert, N. J., Brezonik, P. L., 
and Bauer, M. E., 2003a. Extending Satellite Remote Sensing 
to Local Scales: Land and Water Resource Monitoring Using 
High-Resolution Imagery. Remote Sensing of Environment, 
pp.144-156. 
  
 
	        
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