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

2018 ◽  
Vol 46 (4) ◽  
pp. 641-654
Author(s):  
Birendra Nath Ghosh ◽  
Krishnendu Das ◽  
Siladitya Bandyopadhyay ◽  
Subrata Mukhopadhyay ◽  
Dulal Chandra Nayak ◽  
...  
2021 ◽  
Vol 13 (06) ◽  
pp. 710-728
Author(s):  
Denis Magnus Ken Amara ◽  
Sayyadsaheb A. Nadaf ◽  
Daniel Hindogbe Saidu ◽  
Osman S. Vonu ◽  
Raymond Morie Musa ◽  
...  

Author(s):  
V. Ramamurthy ◽  
S. K. Singh ◽  
S. Chattaraj ◽  
G. P. Obi Reddy ◽  
S. C. Ramesh Kumar

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Shreyasi Gupta Choudhury

Land resource inventory (LRI) at larger scale (1:10000) is the basic prerequisite to develop agricultural land use planning for upgrading the socioeconomic condition of the farmers. In the present era of climate change and huge demand for food, the agriculture in India is under severe stress, which might be improved through a judicious land resource inventory followed by a robust agricultural land use planning. Moreover, site specific land management options must be framed to provide right technology at right time in right place. Thus, with this aim, a methodology of LRI at 1:10000 scale have been developed using geospatial technique for preparation of landscape ecological map (LEU) as base map. The detailed information generated in GIS environment has been used in the field for detailed ground truthing and land resource inventory for farm planning. The detailed methodology has been presented through a case study considering Rajnagar block of Birbhum distrct, West Bengal for doing LRI at 1:10000 scale


1999 ◽  
Vol 39 (3) ◽  
pp. 135-148 ◽  
Author(s):  
Carlo Giupponi ◽  
Paolo Rosato

The effects of alternative agricultural land use scenarios in terms of environmental impact assessment on surface and ground water were simulated by means of combined socio-economic and environmental models. The economic model produced and evaluated alternative farming systems, defined in terms of land use (in farm crop allocations and regional statistics of crop distributions) and cultivation practices as influenced by different macro-economic scenarios of agricultural policies. These scenarios were defined on the basis of the present Common Agricultural Policy of the European Union and possible future measures for reducing the impact of current agricultural systems on the environment. The farmers' decisional process has been simulated with multi-objective functions aimed at maximising profits and minimising risk. The methodology for the environmental impact assessment of farming systems is based on a simulation model for non-point source agricultural pollution which determines the impact of agriculture on a single field basis as influenced by environmental variables (soil and climate) and farmers' decisions (crop, soil management, fertilisation, etc.). The results obtained from this model were used to calculate a series of comparative indices capable of describing the effects of the use of fertilisers and pesticides on surface and ground waters. A geographical information system supported the spatial data management in particular for: a) the definition of simulation environments; b) the integration of physical and statistical geographical information; c) the cartographic presentation of results and the comparison of alternative scenarios. The model has been applied in the area of the Watershed of the Lagoon of Venice (WLV), located in northern Italy and has demonstrated how alternative policy scenarios determine not only significant variations in the overall environmental impacts in the study area, but also remarkable differences in their spatial distribution.


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