Land Resource Inventory for Agricultural Land Use Planning Using Geospatial Techniques

Author(s):  
S. K. Singh ◽  
S. Chatterji
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


2018 ◽  
Vol 46 (4) ◽  
pp. 641-654
Author(s):  
Birendra Nath Ghosh ◽  
Krishnendu Das ◽  
Siladitya Bandyopadhyay ◽  
Subrata Mukhopadhyay ◽  
Dulal Chandra Nayak ◽  
...  

Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 364
Author(s):  
Sahar Shahpari ◽  
Janelle Allison ◽  
Matthew Tom Harrison ◽  
Roger Stanley

Agricultural land-use change is a dynamic process that varies as a function of social, economic and environmental factors spanning from the local to the global scale. The cumulative regional impacts of these factors on land use adoption decisions by farmers are neither well accounted for nor reflected in agricultural land use planning. We present an innovative spatially explicit agent-based modelling approach (Crop GIS-ABM) that accounts for factors involved in farmer decision making on new irrigation adoption to enable land-use predictions and exploration. The model was designed using a participatory approach, capturing stakeholder insights in a conceptual model of farmer decisions. We demonstrate a case study of the factors influencing the uptake of new irrigation infrastructure and land use in Tasmania, Australia. The model demonstrates how irrigated land-use expansion promotes the diffusion of alternative crops in the region, as well as how coupled social, biophysical and environmental conditions play an important role in crop selection. Our study shows that agricultural land use reflected the evolution of multiple simultaneous interacting biophysical and socio-economic drivers, including soil and climate type, crop and commodity prices, and the accumulated effects of interactive decisions of farmers.


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