Vol. 7, Issue 1 (2019)
Land evaluation in halayapura1 micro watershed in Tumkur district of Karnataka, India, using remote sensing and geographical information system (GIS) tools
Author(s): Geetha GP, Veerendra Patel GM, Shruti Y, Ramakrishna Parama VR and Sathish A
Abstract: The present study was undertaken to evaluate four soil series belonging to Halayapura1 micro watershed (Tumkur district) in the southern transition zone of Karnataka for sustainable land use planning. Seven soil series were identified and mapped into twenty six soil phases using GIS technique. These soil phases were grouped in to land capability class II and III. Twenty two soil phases belongs to land capability class II having four subclass, IIs occupied 166 ha (32.94 %) of the study area. These soils had none to slight limitations ranging from slope, erosion, drainage, depth, texture, coarse fragments, CaCO3, pH, organic carbon. Four soil phases belongs to class III having two subclass, IIIes and occupied 57 ha (11.43 %) of the study area. Soil site suitability evaluation for field crops like ragi, ground nut, red gram, castor and horticulture crops like coconut, areca nut mango, sapota, guava, marigold showed that some of soil series were highly suitable (S1), moderately suitable (S2), marginally suitable (S3) and not suitable for some soil phases. The process of land suitability classification is the appraisal and grouping of specific areas of land in terms of their suitability for defined uses. Major proportion of the study area belonged to land capability class IIs followed by IIes, IIew, IIIes, IIw, IIIs respectively in the order of land capability rating. Hence the study area concludes that 88 % of the study area is suitable for agricultural purposes. Land suitability is the fitness of a given type of land for a defined use. The land may be considered in its present condition or after improvement.
How to cite this article:
Geetha GP, Veerendra Patel GM, Shruti Y, Ramakrishna Parama VR and Sathish A. Land evaluation in halayapura1 micro watershed in Tumkur district of Karnataka, India, using remote sensing and geographical information system (GIS) tools. 2019; 7(1): 84-94.