Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-8, 1353-1363, 2014
https://doi.org/10.5194/isprsarchives-XL-8-1353-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
23 Dec 2014
Spatial variability of Soil Nutrients Using Geospatial Techniques: A case study in soils of Sanwer Tehsil of Indore district of Madhya Pradesh
G. S. Tagore1, G. D. Bairagi2, R. Sharma2, and P. K. Verma2 1Department of Soil Science and Agril. Chemistry, JNKVV, Jabalpur (M.P.), India
2M. P. Council of Science and Technology, Vigyan Bhawan, Bhopal (M.P.), India
Keywords: Spatial Variability, Soil Properties, semi -variogram, Sanwer, Kriging, GPS Abstract. A study was conducted to explore the spatial variability of major soil nutrients in a soybean grown region of Malwa plateau. From the study area, one hundred sixty two surface soil samples were collected by a random sampling strategy using GPS. Then soil physico-chemical properties i.e., pH, EC, organic carbon, soil available nutrients (N, P, K, S and Zn) were measured in laboratory. After data normalization, classical and geo-statistical analyses were used to describe soil properties and spatial correlation of soil characteristics. Spatial variability of soil physico-chemical properties was quantified through semi-variogram analysis and the respective surface maps were prepared through ordinary Kriging. Exponential model fits well with experimental semi-variogram of pH, EC, OC, available N, P, K, S and Zn. pH, EC, OC, N, P, and K has displayed moderate spatial dependence whereas S and Zn showed weak spatial dependence. Cross validation of kriged map shows that spatial prediction of soil nutrients using semi-variogram parameters is better than assuming mean of observed value for any un-sampled location. Therefore it is a suitable alternative method for accurate estimation of chemical properties of soil in un-sampled positions as compared to direct measurement which has time and costs concerned.
Conference paper (PDF, 1826 KB)


Citation: Tagore, G. S., Bairagi, G. D., Sharma, R., and Verma, P. K.: Spatial variability of Soil Nutrients Using Geospatial Techniques: A case study in soils of Sanwer Tehsil of Indore district of Madhya Pradesh, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-8, 1353-1363, https://doi.org/10.5194/isprsarchives-XL-8-1353-2014, 2014.

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