ul 2004 International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B-YF. Istanbul 2004 
Table 2. Suggested periods for taking the images 
Season State assessment Control 
1. March - April - assuming the hazard of flood and surplus water |- distinguishing the cultivated and 
- study of soil facilities not disturbed areas 
- Identification of fields of winter and perennial 
crop (wheat, alfalfa, etc.) 
- | surveying of the expansion of wetlands 
2. April-Mai - assuming the hazard of flood and surplus water |- ^ protection of breeding habitats 
- identification of fields of winter and perennial |- limitation of grazing and 
crop (wheat, alfalfa, etc.) assignation of expansion of 
- | identification of buffer zones filtering zones 
3. July-September - evaluation of salinity processes - limitation of grazing and 
- risk and damage estimation of drought assignation of expansion of buffer 
- identification of fields of the vernal crop zones 
(maize, sugar beet, etc.) - the expansion of stubble burning 
(table - Soil status 
: There are many rule points in NAKP, where these Running, S.W., Nemani, R. R., Peterson, D.L., 1989. 
remotely sensed images can be applicable for Mapping regional forest evapotranspiration and photosyntesis 
identification and control of the time and spatial frame by coupling satellite data with ecosystem simulation. Ecology 
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For example: Checking of growing areas of the plants 
appropriate to the cropping plans (5-10 years), Running, S. W., Loveland, T. R., Pierce, L. L., Nemani, R. 
distinguishing the small spots of plant associations from R., Hunt Jr., E. R., 1995. A remote sensing classification 
the cultivated lands, etc. logic for global land cover analysis. Remote Sensing of 
- A High resoluted and multispectral data can give spatial Environment, 51, pp. 39-48. 
information for detecting the land cover and controlling 
the cropping. RS data taken by airborn digital Turner, D.P., Cohen, W.B., Kennedy, R.E., Fassnacht, K.S., 
multispectral camera can be used for updating the Briggs, J.M., 1999. Relationships between Leaf Area Index 
contents of GIS and Landsat TM Spectral Vegetation Indices across three 
temperate zone sites: Remote Sensing of Environment, 70, pp. 
52-68. 
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