Soil Resource Database at Village Level for Developmental Planning
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RESEARCH ARTICLE
Soil Resource Database at Village Level for Developmental Planning Milind R. Wadodkar & T. Ravisankar
Received: 22 December 2009 / Accepted: 4 March 2011 / Published online: 29 June 2011 # Indian Society of Remote Sensing 2011
Abstract A study was carried out in village Mohammadabad, Nalgonda district, Andhra Pradesh to demonstrate the potential of high-resolution remote sensing data in generating soil resource database at village level that would facilitate natural resource developmental planning. For this study, detail soil resource database was generated by interpreting IRS Resourcesat-1 LISS-IV + Cartosat-1 merged data and by undertaking soil survey and soil analysis. This database was integrated with cadastral map and was analysed for preparation of an action plan for the village that included recommendation on suitable crops, soil and water conservation measures and distribution of soil health card to farmers. The study indicates that the LISSIV + Cartosat-1 merged satellite data helps in mapping soils at phase level and in delineation of more number of pure soil mapping units i.e. consociations at 1:10.000 scale. The plot-wise resource potential and constraints reveals that significant inter and intra-field soil variability exists. Soil fertility assessment indicates that the soils of the village are low to medium in fertility (available NPK Content) and micronutrients like copper, manganese and iron content is above the M. R. Wadodkar (*) : T. Ravisankar National Remote Sensing Centre, Department of Space, ISRO, Balanagar, Hyderabad 500625, India e-mail: [email protected] e-mail: [email protected] T. Ravisankar e-mail: [email protected]
critical level for optimum growth of crops while zinc content is less than the critical level. Keywords Large-scale soil mapping . Village developmental plan . Crop suitability . Fertility assessment . Soil health card . High-resolution remote sensing data
Introduction Soil mapping at larger scale (1:10,000) is essential for management of soil variability at village and microwatershed level. However, current knowledge on soils and existing soil maps impart largely information that is regional in nature than local and specific. Therefore, need is being felt for fresh soil mapping at larger scale with fine level of detail (Ravisankar and Thamappa 2004 and Rao et al. 2004; Dobos and Hengle 2009) to use them for developmental planning in agriculture. The developmental planning envisages preparation of soil resource inventory, understanding of resource constraints and suggesting feasible alternatives for agriculture development (Krishnamurthy and Adiga 2008). In this endeavour, the proven technology of remote sensing and GIS plays very effective role as remotely sensed imagery is being used to support segmentation of the landscape into rather homogeneous soil-physiographic units for which soil composition can be established by sampling. Further, now with the advent and availability of high-resolution satellite data
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