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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="3.0" xml:lang="en">
<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Archives</journal-id>
<journal-title-group>
<journal-title>ISPRS - 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/isprs-archives-XLII-2-W7-479-2017</article-id>
<title-group>
<article-title>TWO METHODS FOR REMOTE ESTIMATION OF COMPLETE URBAN SURFACE
TEMPERATURE</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jiang</surname>
<given-names>L.</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>Zhan</surname>
<given-names>W.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zou</surname>
<given-names>Z.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing University, Nanjing, Jiangsu 210046, China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, 210023, China</addr-line>
</aff>
<pub-date pub-type="epub">
<day>12</day>
<month>09</month>
<year>2017</year>
</pub-date>
<volume>XLII-2/W7</volume>
<fpage>479</fpage>
<lpage>487</lpage>
<permissions>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/isprs-archives-XLII-2-W7-479-2017.html">This article is available from https://isprs-archives.copernicus.org/articles/isprs-archives-XLII-2-W7-479-2017.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/isprs-archives-XLII-2-W7-479-2017.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/isprs-archives-XLII-2-W7-479-2017.pdf</self-uri>
<abstract>
<p>Complete urban surface temperature (&lt;i&gt;T&lt;/i&gt;&lt;sub&gt;C&lt;/sub&gt;) is a key parameter for evaluating the energy exchange between the urban surface and
atmosphere. At the present stage, the estimation of &lt;i&gt;T&lt;/i&gt;&lt;sub&gt;C&lt;/sub&gt; still needs detailed 3D structure information of the urban surface, however, it is
often difficult to obtain the geometric structure and composition of the corresponding temperature of urban surface, so that there is still
lack of concise and efficient method for estimating the &lt;i&gt;T&lt;/i&gt;&lt;sub&gt;C&lt;/sub&gt; by remote sensing. Based on the four typical urban surface scale models,
combined with the Envi-met model, thermal radiant directionality forward modeling and kernel model, we analyzed a complete day
and night cycle hourly component temperature and radiation temperature in each direction of two seasons of summer and winter, and
calculated hemispherical integral temperature and &lt;i&gt;T&lt;/i&gt;&lt;sub&gt;C&lt;/sub&gt;. The conclusion is obtained by examining the relationship of directional radiation
temperature, hemispherical integral temperature and &lt;i&gt;T&lt;/i&gt;&lt;sub&gt;C&lt;/sub&gt;: (1) There is an optimal angle of radiation temperature approaching the &lt;i&gt;T&lt;/i&gt;&lt;sub&gt;C&lt;/sub&gt; in a
single observation direction when viewing zenith angle is 45&amp;ndash;60°, the viewing azimuth near the vertical surface of the sun main
plane, the average absolute difference is about 1.1&amp;thinsp;K in the daytime. (2) There are several (3&amp;ndash;5 times) directional temperatures of
different view angle, under the situation of using the thermal radiation directionality kernel model can more accurately calculate the
hemispherical integral temperature close to &lt;i&gt;T&lt;/i&gt;&lt;sub&gt;C&lt;/sub&gt;, the mean absolute error is about 1.0&amp;thinsp;K in the daytime. This study proposed simple and
effective strategies for estimating &lt;i&gt;T&lt;/i&gt;&lt;sub&gt;C&lt;/sub&gt; by remote sensing, which are expected to improve the quantitative level of remote sensing of
urban thermal environment.</p>
</abstract>
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