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Reseach Article

Article:Computation of Soil Moisture using Passive Microwave Remote Sensing - An ANN Approach

by Veena C.S, Poonam Sinha
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 23 - Number 2
Year of Publication: 2011
Authors: Veena C.S, Poonam Sinha
10.5120/2858-3674

Veena C.S, Poonam Sinha . Article:Computation of Soil Moisture using Passive Microwave Remote Sensing - An ANN Approach. International Journal of Computer Applications. 23, 2 ( June 2011), 38-45. DOI=10.5120/2858-3674

@article{ 10.5120/2858-3674,
author = { Veena C.S, Poonam Sinha },
title = { Article:Computation of Soil Moisture using Passive Microwave Remote Sensing - An ANN Approach },
journal = { International Journal of Computer Applications },
issue_date = { June 2011 },
volume = { 23 },
number = { 2 },
month = { June },
year = { 2011 },
issn = { 0975-8887 },
pages = { 38-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume23/number2/2858-3674/ },
doi = { 10.5120/2858-3674 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:09:11.426481+05:30
%A Veena C.S
%A Poonam Sinha
%T Article:Computation of Soil Moisture using Passive Microwave Remote Sensing - An ANN Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 23
%N 2
%P 38-45
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

An empirical model incorporating the effects of vegetation and surface roughness has been proposed which uses the least square fit of a third order polynomial using real time data. Further an Artificial Neural Network (ANN) architecture has been developed using back propagation algorithm to train the neural network which predicts coefficients of the model for a given radiometer data. The accuracy of the proposed model and the performance of the ANN architecture have been ascertained by comparing the results with the in-situ measured values of soil moisture.

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Index Terms

Computer Science
Information Sciences

Keywords

Emissivity passive microwave remote sensing NDVI Dielectric permittivity Soil moisture