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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Archives</journal-id>
<journal-title-group>
<journal-title>The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Archives</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9034</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprsarchives-XL-8-1059-2014</article-id>
<title-group>
<article-title>Supplementing Oscat winds with Saral Altika observations for cyclone studies</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Niharika</surname>
<given-names>K.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Usha Sundari</surname>
<given-names>H. S. V.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Prasad</surname>
<given-names>A. V. V.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sita Kumari</surname>
<given-names>E. V. S.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Dadhwal</surname>
<given-names>V. K.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ali</surname>
<given-names>M. M.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad, India</addr-line>
</aff>
<pub-date pub-type="epub">
<day>28</day>
<month>11</month>
<year>2014</year>
</pub-date>
<volume>XL-8</volume>
<fpage>1059</fpage>
<lpage>1064</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2014 K. Niharika et al.</copyright-statement>
<copyright-year>2014</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XL-8/1059/2014/isprs-archives-XL-8-1059-2014.html">This article is available from https://isprs-archives.copernicus.org/articles/XL-8/1059/2014/isprs-archives-XL-8-1059-2014.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XL-8/1059/2014/isprs-archives-XL-8-1059-2014.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XL-8/1059/2014/isprs-archives-XL-8-1059-2014.pdf</self-uri>
<abstract>
<p>Accurate prediction of life cycle of cyclone is very critical to the disaster management practices. Since the cyclones originate over
the oceans where in situ observations are limited, we have to resort to the remote sensing techniques. Both optical and microwave
sensors help studying the cyclones. While scatterometer provide wind vectors, altimeters can give only wind speed. In this paper we
present how altimeter measurements can supplement the scatterometer observations in determining the radius of maximum winds
(RMW). Sustained maximum winds, indicator for the intensity of the cyclone, are within the eye wall of a cyclone at a distance of
RMW. This parameter is also useful in predicting right time of the storm surge. In this paper we used the wind speed estimations
from AltiKa, an altimeter operating at Ka band.</p>
</abstract>
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