Full text: Resource and environmental monitoring (A)

   
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5. CONCLUSIONS 
The above studies showed that there exists sufficiently large 
amount of variability in both soil and crop parameters, even in 
small fields of around 4 ha area. This variability could be captured 
by both ground based and satellite based spectral indices. The 
narrow-band vegetation indices were significantly correlated to 
crop parameters. Further study is needed to find out better 
spectral indices to relate with soil parameters. Compared to 
satellite data, the ground based spectroradiometer data were more 
useful in analysing and correlating the crop and soil variability. 
Hence, there is strong need of very high resolution multi-spectral 
satellite based RS data, to study within field variability. 
REFERENCES 
FieldSpec®Pro(2000) User's Guide Manual Release. Analytical 
Spectral Devices, Inc. Boulder, CO, USA. 
Hanson, L.D., Robert, P.C. and Bauer, M., 1995. Mapping wild 
oats infestation using digital imagery for site specific management. 
In Proc. Site-Specific Mgt. for Agric. Syst. 27-230, March, 1994, 
Minneapolis, MN, ASA-CSA-SSSA, Madison, WI, pp.495-503. 
Leone, A.P., Wright, G.G. and Corves, C., 1995. The application 
of satellite remote sensing for soil studies in upland areas of 
southern Italy. /nt. J. Remote Sensing, 16, pp.1087-1105. 
Mathieu, R., Pouget, M., Cervelle, B. and Escadafal, R., 1998. 
Relationships between satellite based radiometric indices 
simulated using laboratory reflectance data and typic soil colour of 
an arid environment. Remote Sensing Environ., 66, pp.17-28. 
Moran, M.S. , Inoue, Y. and Barnes, E.M., 1997. Opportunities 
and limitations for image —based remote sensing in precision crop 
management. Remote Sensing Env., 61, pp.319-346 
Muhr, G.R., Dutta, N.P., Sankarsubramaney, H., Leley, V.K. and 
Donahue,R.L., 1965. Soil Testing in India. 2 Edn., U.S.A.LD., 
New Delhi. pp 49. 
Mulla, D.J., 1997. Geostatistics, remote sensing and precision 
farming. In Precision Agriculture: Spatial and Temporal 
Variability of Environmental Quality (Eds. J.V. Lake, G.R. Bock 
and J.A. Goode) John Wiley & Sons, NewYork, pp.100-119. 
Olsen, S.R., Cole, V.C., Watanabe, F.S. and Dean, L.A., 1954, 
Estimation of available phosphorus in soils by extraction with 
sodium bicarbonate. U.S. Deptt. Agric. Circular No. 939. 
Palacios-Orueta, A and Ustin, S.L., 1998. Remote sensing of soil 
properties in the Santa Monica Mountains I. Spectral analysis. 
Remote Sensing Environ., 65, pp.170-183. 
IAPRS & SIS, Vol.34, Part 7, "Resource and Environmental Monitoring", Hyderabad, India,2002 
Pandya MR, Singh RP, Murali KP, Babu PN, Kirankumar AS and 
Dadhwal V.K., 2002. Band pass solar exo-atmospheric irradiance 
and Rayleigh optical thickness of sensors onboard Indian Remote 
Sensing Satellites - 1B, 1C, 1D and P4. JEEE Trans. Geoscience 
& Remote Sensing, 40(3), pp. 714-718 
Pierce, F. J. and Nowak, P., 1999. Aspects of precision 
agriculture. Advances in Agronomy., 67. pp. 1-85. 
Ray, S. S, Singh, Ashvir, Panigrahy, S., Singh, J. P. and Parihar, 
J.S., 2001. Precision Farming using high resolution remote sensing 
data — An exploratory Study for Indian context. Presented in ISRS 
Symposium, 2001, Ahmedabad, India. 
Subbiah, B.V. and Asija, C.L., 1956. A rapid procedure for the 
estimation of available nitrogen in soils. Current Science, 25, pp. 
259-60. 
Taylor, J.C., Thomas, G. and Wood, G.A., 1997. Diagnosing 
sources of within-field variation with remote sensing. In Precision 
Agriculture'97, Vol.II: Technology, IT and Management (Ed. J.V. 
Stafford). BIOS Scientific Publishers Ltd., Oxford, UK. pp.705- 
712. 
Taylor, R.M., 1982. Colour in soils and sediments. Review. In 
Proc. Int. Clay Conf. , Bologna, Italy, Elsevier, Amsterdam, pp. 
705-765. 
Thenkabail, P.S., 2002. Optimal hyperspectral narrowbands for 
discriminating agricultural crops. Remote Sensing Reviews, 20, 
pp.257-291. 
Thenkabail, P.S., Smith, R.B. and De Pauw, E., 2000. 
Hyperspectral vegetation indices and their relationships with 
agricultural crop characteristics. Remote Sensing Environ., 71, 
pp.158-182. 
Walkley, A. and Black, LA., 1934. An examination of the 
Degtjareff method for determining soil organic matter and a 
proposed modification of the chromic acid titration method. Soil 
Science, 37, pp.29-38. 
ACKNOWLEDGEMENTS 
Authors are grateful to Shri J.S. Parihar, the Group Director, 
Agricultural Resources Group, SAC for his keen interest in this 
work. Thanks are due to Dr. S.S. Lal and Dr. G.S. Kang of CPRI 
for their co-operation for the field experiments. 
  
   
  
     
      
    
    
  
    
  
    
   
  
    
   
  
   
  
   
  
  
   
   
   
   
    
   
    
   
   
   
   
   
  
  
  
  
  
   
   
   
  
  
   
	        
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