Land Suitability Analysis Based on Soil Properties and GIS for Improving Rice Productivity in Bihar, India

Bangladesh J. Bot. 48(2): 217-222, 2019 (June)

6 Pages Posted: 21 Oct 2019

See all articles by Manibhushan .

Manibhushan .

affiliation not provided to SSRN

Anil Singh

ICAR-RCER

S. Mondal

affiliation not provided to SSRN

N. Chandra

affiliation not provided to SSRN

Date Written: 2019

Abstract

This study was conducted for land classification and analysis of image for defining the land suitability for improving rice crop productivity. Several criteria were considered for the determination of land suitability for rice crop. IRS P6 LISS III image and digitized toposheet of Madhubani district were used for the study. Taking all the variables into accounts, a comprehensive block-wise land suitability map for rice crop of the district has been developed using multicriteria approach and GIS. It was found that 22% of the total rice growing area i.e. 72418 ha are highly suitable, 63% (224512 ha) are moderately suitable, 15% (50372 ha) are marginally suitable and around 1% (3356 ha) is unsuitable for rice crop in Madhubani district. However, it is presumed that the suitability of the rice growing areas may increase or decrease depending on the changes in soil parameters, rainfall, water availability, and other associated factors.

Keywords: Land suitability, Classification, Soil, Toposheet, Rice productivity

Suggested Citation

., Manibhushan and Singh, Anil and Mondal, S. and Chandra, N., Land Suitability Analysis Based on Soil Properties and GIS for Improving Rice Productivity in Bihar, India (2019). Bangladesh J. Bot. 48(2): 217-222, 2019 (June), Available at SSRN: https://ssrn.com/abstract=3467602 or http://dx.doi.org/10.2139/ssrn.3467602

Manibhushan .

affiliation not provided to SSRN

Anil Singh (Contact Author)

ICAR-RCER ( email )

ICAR Complex
Patna, Bihar 800014
India

S. Mondal

affiliation not provided to SSRN

N. Chandra

affiliation not provided to SSRN

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