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JAPRS & SIS, Vol.34, Part 7, “Resource and Environmental Monitoring”, Hyderabad, India, 2002 
7. ACKNOWLEDGEMENT 
Authors are thankful to Remote Sensing 
Application Centre A.M.U., Aligarh, U.P. for providing 
necessary support, and to Image Processing Lab, RRSSC, 
Dehradun for undertaking Image processing work. 
The financial assistance from National Informatics 
Centre, Planning Commission, Government of India, under 
NRIS Program is thankfully acknowledged. 
8. REFERENCES 
Anon., 1994. Ground water of Mathura District, U.P.- 
Report. NIC, Planning Commission, Govt. of India. 
Kristof, S.J., Baumgardner, M.F., Zachary, A.L. and 
Stoner E.R., 1977. Comparing soil boundaries delineated 
by digital analysis of multispectral scanner data from high 
and low spatial resolution systems. In : Proceedings 
Machine processing of remotly sensed data symposium, 
Purdue University. 
703 
Rizvi, S.M.A. 2000. Study on soils of the Semi-Arid 
ecosystem District Mathura U.P., India, Using Statistical 
analysis of Remotely Sensed data. (Unpublished Ph.D. 
thesis), Aligarh Muslim University, Aligarh, India. 
Saxena, R.K., Verma, K.S., Sharma, R.C., Srivastava, R. 
and Barthwal, A.K., 2000. Mapping of salt-affected and 
associated degraded soils of Indo-Gangetic alluvial plains 
of India. In : Proc. Int. Conf. on Managing Natural 
Resources for Sustainable Agricultural Production. 21“ 
Century. New Delhi, India, Extended Summary, Vol. 2 pp. 
14-16 
Singh, A.N., Kristof, S.J. and Baumgardner, M.F., 1979. 
Delineating salt- affected soils in the Ganges plain by 
digital analysis of Landsat data. Jour. Ind. Soc. Photo Int. 
& Remote sensing, 7 (1), pp. 35-39. 
Weismiller, R.A., Persinger, I.D. and Montgometry, O.L., 
1977. Soil inventory prepared from digital analysis of 
salellite multispectral scanner data and digitized 
topographic data. LARS information note 010777, Purdue 
University, U.S.A.