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
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.