INTERNATIONAL JOURNAL OF PURE & APPLIED BIOSCIENCE

ISSN : 2320-7051

  • No. 772, Basant Vihar, Kota

    Rajasthan-324009 India

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International Journal of Pure & Applied Bioscience (IJPAB)
Year : 2018, Volume : 6, Issue : 6
First page : (699) Last page : (707)
Article doi: : http://dx.doi.org/10.18782/2320-7051.7185

Characterisation and Mapping of Salt-Affected Soils in Parts of Nalgonda District Using Hyperspectral Data

Naresh Goud D.1*, Jayasree G.2 and Ramana K. V.3

1Department of Soil Science and Agricultural Chemistry, PJTSAU Hyd
2Professor @ Agricultural College Palem, PJTSAU
3Chairman for Andhra Pradesh Space Application Centre
*Corresponding Author E-mail: nareshgoudssac321@gmail.com
Received: 24.10.2018 | Revised: 6.11.2018 | Accepted: 12.11.2018

 

 ABSTRACT

The relationship between soil salinity parameters and their influence on soil spectral characteristics were analyzed using both satellite data (LISS-IV) and reflectance data of soil samples collected from targeted sites using Remote Sensing. The site selected for the study were Nalgonda district, Nagarjunasagar Project(NSP) command area located at 16059'34.43'' N,79019'15.25'' E  on top left and 16049'56.64'' N, 79041'53.44''E on right bottom. Global Positioning System (GPS) based soil samples (0-30cm depth). The results showed that among all the observed soil parameters Electrical Conductivity, Exchangeable Sodium Percentage and Cation Exchange Capacity predictions can be made accurately based on partial least square regression models developed from selected wavelengths. Out of the total study area the area under slightly saline-sodic category was 378ha, moderately saline-sodic category was 90 ha, and severely saline-sodic category was  178.43 ha. and the rest of the area was normal

Key words: Hyperspectral; Partial least square regression; Salt affected soil; LISS-IV

Full Text : PDF; Journal doi : http://dx.doi.org/10.18782

Cite this article: Naresh Goud, D., Jayasree, G. and Ramana, K. V., Characterisation and Mapping of Salt-Affected Soils in Parts of Nalgonda District Using Hyperspectral Data, Int. J. Pure App. Biosci.6(6): 699-707 (2018). doi: http://dx.doi.org/10.18782/2320-7051.7185




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