International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 8, Issue:4, April, 2019

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : /
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2019.8(4): 346-354

Remote Sensing and GIS based Mapping of Clay Soils-A Case Study of Patna District, Bihar
Binod Kumar Vimal1, Sunil Kumar1*, Amit Kumar Pradhan1, Ragini Kumari1, Hena Parveen1 and Sanjeev Kumar Gupta2
1Department of Soil Science and Agricultural Chemistry, Bihar Agricultural University, Sabour-813210, Bhagalpur, Bihar, India
2Department of Agronomy, Bihar Agricultural University, Sabour-813210, Bhagalpur, Bihar, India
*Corresponding author

Developed model is based on digital image processing techniques under RS-GIS domain, in which conversion of Intensity, Hue and Saturation to RGB image of SWIR, NIR and red spectral bands has been applied for the signature capture of clay soils. To achieve this target, spectral enhancement process was initiated by using of AWiFS data (May, 2015). Clear cut demarcation of clay soil patches from surrounding was observed in blue tone of the converted RGB image. Out of the total geographical area, the maximum coverage of clay soils was observed in Mokama (12.79%) followed by Pandarakh (11.12%), Ghoswari (10.48%), Pali (10.46%) and Bakhtiyarpur (9.90%) blocks. However, in context of physic-chemical status of soils, the clay content varied from 57 to 66%, soil pH neutral to slightly alkaline (7.02.-8.62), EC normal, available nitrogen low, available phosphate medium and available potash medium to high were recorded. Research findings may be helpful for the confirmation of heavy texture soils under low land topography of Bihar.

Keywords: Clay soils, NDVI, NIR band, Tal and RS-GIS

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How to cite this article:

Binod Kumar Vimal, Sunil Kumar, Amit Kumar Pradhan, Ragini Kumari, Hena Parveen and Sanjeev Kumar Gupta. 2019. Remote Sensing and GIS based Mapping of Clay Soils-A Case Study of Patna District, Bihar.Int.J.Curr.Microbiol.App.Sci. 8(4): 346-354. doi:
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.