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Indian Journal of Radio & Space Physics (IJRSP) >
IJRSP Vol.38 [2009] >
IJRSP Vol.38(5) [October 2009] >
| Title: | ANN technique for the evaluation of soil moisture over bare and vegetated fields from microwave radiometer data |
| Authors: | Dharanibai, G
Alex, Z C |
| Keywords: | Remote sensing
L-band microwave radiometry
Dielectric permittivity
Artificial neural network
Multi layer perceptron
Feed-forward neural network
Soil moisture |
| Issue Date: | Oct-2009 |
| Publisher: | CSIR |
| PACS No.: | 92.40.Lg; 84.40.-x |
| Abstract: | Retrieving information from remotely sensed data is an important task. In
the present work, data of L band microwave radiometer has been used to collect
the brightness temperature over bare and vegetated fields in two polarizations
at different moisture levels. Artificial neural network (ANN) trained with
Levenberg-Marquardt algorithm has been used to determine soil moisture from
brightness temperatures measured by microwave radiometry. ANN are trained to
evaluate the moisture content in the range 0 - 36% from different sets of data
of bare and vegetated fields. Properly trained feed-forward neural network with
Levenberg-Marquardt algorithm predicted soil moisture content with less mean
absolute error |
| Page(s): | 283-288 |
| ISSN: | 0975-105X (Online); 0367-8393 (Print) |
| Source: | IJRSP Vol.38(5) [October 2009]
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