Full text: Resource and environmental monitoring (A)

  
Fig. 6 : Existing Mango and soil suitability map of Siyana block 
CONCLUSIONS 
The following conclusions can be drawn from the result of the 
study: 
e High-resolution satellite data like IRS-1C/1D LISS-III of 
summer season are useful for the identification of mango 
orchards in different age groups. The result of classification 
accuracy shows that remote sensing technique is a vital tool 
for mango acreage estimation with high precision. 
e GIS technique was found to be a useful tool for preparation of 
village-wise mango orchard distribution inventory. 
e GIS technique was found very useful tool for land evaluation 
for mango crop suitability analysis by integration of soil data. 
Finally it can be concluded that using remotely sensed data, GIS 
technique and soil data; soil suitability map can be effectively 
prepared for establishment of new mango orchards. 
ACKNOWLEDGEMENT 
The authors are grateful to the Director, RSAC-UP, Lucknow; for 
allowing to undertake this study. 
IAPRS & SIS, Vol.34, Part 7, “Resource and Environmental Monitoring”, Hyderabad, India, 2002 
REFERENCES 
FAO, 1983. Guidelines: Land Evaluation for Rainfed Agriculture, 
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Gupta, P.C. and Sharma, R. 1990. Application of satellite remote 
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