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Impact Assessment of GIS Based Land Resource Inventory Towards Optimizing Agricultural Land Use Plan in Dandakaranya and Easternghats Physiographic Confluence of India

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Title Impact Assessment of GIS Based Land Resource Inventory Towards Optimizing Agricultural Land Use Plan in Dandakaranya and Easternghats Physiographic Confluence of India
 
Creator Birendra Nath Ghosh, Krishnendu Das, Siladitya Bandyopadhyay, Subrata Mukhopadhyay, Dulal Chandra Nayak, Surendra Kumar Singh
 
Subject Dandakaranya and Easternghats physiography, Land management unit, Land resource inventory, Land use plan , Impact assessment
 
Description Not Available
GIS based land resource inventory (LRI) with fine resolution imagery is considered as most authentic tool for soil resource mapping. Soil resource mapping using the concept of soil series in a smaller scale limits its wide application and also its impact assessment for crop suitability is controversial. In this study, we attempted to develop LRI at large scale (1:10,000 scale) at block level land use planning (LUP) in Dandakaranya and Easternghats physiographic confluence of India. The concept of land management unit was introduced in this endeavour. The impact assessment of LRI based LUP was exercised to develop efficient crop planning with best possible management practices. The study area comprised six landforms with slope gradient ranging from very gentle (1–3%) to steep slopes (15–25%). The very gently sloping young alluvial plains occupied maximum areas (19.95% of TGA). The single cropped (paddy) land appears to dominate the land use systems (40.0% of TGA). Thirty three landscape ecological units were resulted by GIS-overlay. Eighteen soils mapping units were generated. The area was broadly under two soil orders (Inceptisols and Alfisols); three great group (Haplaquepts, Rhodustalfs and Endoaquepts) and ten soil series. Crop suitability based impact assessment of LRI based LUP revealed that average yield of different crops increased by 39.2 and 14.5% in Kharif (rainy season) and Rabi (winter) seasons respectively and annual net returns by 83.4% for the cropping system, compared to traditional practices. Productivity and net returns can be increased several folds if customized recommended practices are adopted by the farmers. Informations generated from the study emphasized the potentiality of LRI towards optimizing LUP and exhibited an amplescope to use the methodology as a tool to assess in other physiographic regions in India and abroad.
Not Available
 
Date 2020-07-01T05:57:46Z
2020-07-01T05:57:46Z
2018-01-05
 
Type Research Paper
 
Identifier Not Available
0255660X
0255660X
http://krishi.icar.gov.in/jspui/handle/123456789/37921
 
Language English
 
Relation Not Available;
 
Publisher Journal of the Indian Society of Remote Sensing