|
PRINT ISSN : 2319-7692
Online ISSN : 2319-7706 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcmas@gmail.com / submit@ijcmas.com Editor-in-chief: Dr.M.Prakash Index Copernicus ICV 2018: 95.39 NAAS RATING 2020: 5.38 |
This study uses data from Global Positioning System and Geographic Information System to produce digital maps for soil texture using the spatial analysis technique. Soil texture is one of the most important soil properties whose variability may contribute to the variation in nutrient storage and availability, water retention and transport, and binding and stability of soil aggregates. It can directly or indirectly influence many other soil functions and soil threats such as soil erosion. Geostatistics has been extensively used for quantifying the spatial pattern of soil properties and Kriging techniques are proving to be sufficiently robust for estimating values at unsampled locations in most of the cases. In our study, we show the applicability of Ordinary Kriging techniques to characterize the spatial variation in soil texture. To achieve this objective, thematic soil maps clearly revealed the distribution of selected physical characteristics which were assigned appropriate classes, i.e. low, medium and high. The maximum spatial distribution of soil texture was found for loamy sand (40.52%). Bulk density of 1.45 to 1.5 Mg m-3 was found over 80.86% of the study area, while the clay content of 15 to 20% was recorded over 51.11% of total area. The slope (0-3%) suggested the area to be having low land topography. The thematic layers of these data were created in TNT Mips 2010 geospatial software.