Research Article
Synthetic Aperture Radar in Indian Remote Sensing
|
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
|
| Volume 7 - Issue 2 |
| Published: April 2014 |
| Authors: Sainath P. Aher, Shivaji B. Khemnar, Shambhaji D. Shinde |
10.5120/ijais14-451125
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Sainath P. Aher, Shivaji B. Khemnar, Shambhaji D. Shinde . Synthetic Aperture Radar in Indian Remote Sensing. International Journal of Applied Information Systems. 7, 2 (April 2014), 31-34. DOI=10.5120/ijais14-451125
@article{ 10.5120/ijais14-451125,
author = { Sainath P. Aher,Shivaji B. Khemnar,Shambhaji D. Shinde },
title = { Synthetic Aperture Radar in Indian Remote Sensing },
journal = { International Journal of Applied Information Systems },
year = { 2014 },
volume = { 7 },
number = { 2 },
pages = { 31-34 },
doi = { 10.5120/ijais14-451125 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A Sainath P. Aher
%A Shivaji B. Khemnar
%A Shambhaji D. Shinde
%T Synthetic Aperture Radar in Indian Remote Sensing%T
%J International Journal of Applied Information Systems
%V 7
%N 2
%P 31-34
%R 10.5120/ijais14-451125
%I Foundation of Computer Science (FCS), NY, USA
Abstract
India's first indigenous all-weather Radar Imaging Satellite, RISAT-1, launched successfully from Sriharikota (Andhra Pradesh), dated on April 26, 2012 (07:03 IST) by the Indian Space Research Organization (ISRO). The Synthetic Aperture Radar (SAR) technique first time used in India, hence the Risat-1 images will facilitate agriculture and disaster management because of its day-night, all-weather monitoring capability. The payload of Risat-1 weighing 1858 kg is heaviest satellite being launched yet by the PSLV-C19 and it is the country's first Microwave Remote Sensing satellite. Risat-1 satellite will enhance ISRO's potential for earth observation, especially during floods, cyclones, landslides and in disaster management in a supplementary supportive approach. Hence, the incoming SAR technique in Indian Remote Sensing growing the capability of ground truth information, especially of remote and undulating areas for variety of spatial planning and development.
References
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