International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume4,October 2017,

Topic : Analysis of Soil using Spectral Signatures

Authors:Mrs. Chitra. M. Gaikwad || Prof. Dr. S. N. Kakarwal

Abstract:Soil contains organic matter, clay and particles of rock. The composition of soil varies physically as well as chemically which is important for plant growth. The traditional techniques to measure soil contents are time consuming while remote sensing provides efficient techniques for mapping these contents. The visible infrared, near infrared and short wave infra red bands of electromagnetic spectrum are used to study the soil without destructing its properties. In this paper we present the study of soil spectral signatures. The study of soil is carried out using spectral signatures obtained by using ASD field spectrometer. The association between the spectral data and the soil contents is carried out. The soil samples were collected from Shendra and Chikhalthana in Aurangabad district Maharashtra state (India). Principal component analysis is applied to these spectra for classification purpose..

Keywords: Spectral signature, soil nutrients, soil classification, principal component analysis.

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DOI: 01.1617/vol4/iss10/pid81652


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Editor-in-Chief

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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
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