Geoinformatics based Waterlogged Area Delineation for Water Chestnut and Aquaculture Cultivation in Eastern India and its Economics
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Authors
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A K NAYAK
ICAR-Indian Institute of Water Management, Bhubaneswar - 751 023, Odisha, India
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S ROY CHOWDHURY
ICAR-Indian Institute of Water Management, Bhubaneswar - 751 023, Odisha, India
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P S BRAHMANAND
ICAR-Indian Institute of Water Management, Bhubaneswar - 751 023, Odisha, India
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R K MOHANTY
ICAR-Indian Institute of Water Management, Bhubaneswar - 751 023, Odisha, India
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S CHAKRABORTY
ICAR-Indian Institute of Water Management,
Bhubaneswar, Odisha
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S K JENA
ICAR-Indian Institute of Water Management, Bhubaneswar - 751 023, Odisha, India
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N MANIKANDAN
ICAR-Indian Institute of Water Management, Bhubaneswar - 751 023, Odisha, India
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S K AMBAST
ICAR-Indian Institute of Water Management, Bhubaneswar - 751 023, Odisha, India
Keywords:
Aquaculture, Eastern India, GIS, Remote sensing, Waterlogging, Water chestnutAbstract
Adoption of conventional agriculture in waterlogged areas always remains a challenge mainly due to changed physical, chemical and microbiological properties of waterlogged soils. Even with such limitation, cultivation of economically important aquatic food crops like water chestnut/makhana and their integration with aquaculture is a lucrative option in improving the rural economy in waterlogged areas. In this study, geo-referenced LISS III data (1:50000 scale) was used to delineate the waterlogged areas to make such interventions with aquaculture in the coastal and its adjoining areas of Odisha. The existing impact of water chestnut on production performance of catfish appeared promising. Case studies show that these interventions resulted in a yield of 11 t ha-1 of water chestnut and 0.47 t ha-1 of catfish. The gross water productivity of aquaculture alone was Rs. 7.90 m-3 which could be enhanced further to Rs. 16.30 m-3 through integrated cultivation of water chestnut with catfish. Identification and delineation of suitable waterlogged areas for integrated water chestnut and fish cultivation using remote sensing and GIS tools would help in upscaling this cultivation system so as to improve the socio-economic livelihood of the farming community.
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