Microwave spectroscopy modelling for geophysical parameter retrieval using synthetic aperture radar (SAR) dataset
IR@NISCAIR: CSIR-NISCAIR, New Delhi - ONLINE PERIODICALS REPOSITORY (NOPR)
View Archive Info| Field | Value | |
| Title |
Microwave spectroscopy modelling for geophysical parameter retrieval using synthetic aperture radar (SAR) dataset
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| Creator |
Shaikh, M A
Anpat, S M Dongare, A K Khirade, P W Sayyad, S B |
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| Subject |
Microwave spectroscopy
SAR Geophysical parameters Modelling |
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| Description |
311-314
The microwave spectroscopy is an extremely powerful tool for synoptic observation of the object on the earth or planetary bodies. One of the best microwave spectroscopy imaging system is the synthetic aperture radar (SAR) remote sensing. It operates in all weather conditions, though there is change in environmental conditions. In the present study microwave L band SIR-C SAR dataset has been used. The various modellings have been used to classify and analyze the geophysical parameters on the earth or planetary bodies. The modelling makes the process of estimating information beyond the real observation range for data interpretation. In the present paper two most widely used modeling techniques for microwave SAR spectroscopy, i.e., empirical model and an integral equation model (IEM) have been discussed. The aim of the present work is accurate, reliable and skillful measurements of geophysical parameters. In the present work, surface roughness, soil moisture, dielectric constant (ԑ) and backscattering coefficients (σ<sup>0</sup>) etc. geophysical parameters have been measured with the help of the statistical parameter and occurrence plane estimated from the microwave SAR image. |
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| Date |
2018-04-16T09:41:35Z
2018-04-16T09:41:35Z 2018-04 |
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| Type |
Article
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| Identifier |
0975-0959 (Online); 0301-1208 (Print)
http://nopr.niscair.res.in/handle/123456789/44200 |
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| Language |
en_US
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| Rights |
<img src='http://nopr.niscair.res.in/image/cc-license-sml.png'> <a href='http://creativecommons.org/licenses/by-nc-nd/2.5/in' target='_blank'>CC Attribution-Noncommercial-No Derivative Works 2.5 India</a>
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| Publisher |
NISCAIR-CSIR, India
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| Source |
IJPAP Vol.56(04) [April 2018]
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