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Vol. 11, Issue 3 (2022)

Soil fertility mapping at village level using IRSLISS-IV and Cartosat-1 merged data in two Nyaya panchayat of Amethi district, U. P.

Author(s):
SG Rajput, PPS Yadav, SL Pal, PK Rajput and Dashrath Singh
Abstract:
The study presents a soil fertility mapping carried out in two Nyaya panchayat, consisting of 23 villages of Amethi district of Uttar Pradesh. The soil fertility map has been generated by interpreting Resourcesat-1 LISS-IV and Cartosat-1 merged data on 1:10,000 scale, and both Nyaypanchayat fertility maps have been mapped. The soil database was integrated with plot (khasra) boundary which helps in generating soil information at plot and farmer level. Soil fertility maps were prepared for each parameter under GIS environment using Arc GIS v 10.4. Soils were neutral to very strongly alkaline with non saline to slight salinity. Soil organic carbon content was low to medium OC and available N was low in 2/3 of area. Available nitrogen was low, available phosphorus was low to medium, available potassium was medium to high and sulphur was low to medium. Regarding available micronutrients, zinc and iron were deficient in about half of the sub watershed area whereas, copper and manganese were sufficient in the soils. The mapping of nutrients by GIS technique in the sub watershed revealed that, available N, P, S, Zn and Fe are important soil fertility constraints.
Pages: 1179-1195  |  378 Views  140 Downloads


The Pharma Innovation Journal
How to cite this article:
SG Rajput, PPS Yadav, SL Pal, PK Rajput, Dashrath Singh. Soil fertility mapping at village level using IRSLISS-IV and Cartosat-1 merged data in two Nyaya panchayat of Amethi district, U. P.. Pharma Innovation 2022;11(3):1179-1195.

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