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		<id>https://www.scipedia.com/wd/index.php?action=history&amp;feed=atom&amp;title=Stewart_et_al_2019a</id>
		<title>Stewart et al 2019a - Revision history</title>
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		<updated>2026-04-21T20:43:50Z</updated>
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	<entry>
		<id>https://www.scipedia.com/wd/index.php?title=Stewart_et_al_2019a&amp;diff=213406&amp;oldid=prev</id>
		<title>Scipediacontent: Scipediacontent moved page Draft Content 158754492 to Stewart et al 2019a</title>
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				<updated>2021-02-15T08:50:11Z</updated>
		
		<summary type="html">&lt;p&gt;Scipediacontent moved page &lt;a href=&quot;/public/Draft_Content_158754492&quot; class=&quot;mw-redirect&quot; title=&quot;Draft Content 158754492&quot;&gt;Draft Content 158754492&lt;/a&gt; to &lt;a href=&quot;/public/Stewart_et_al_2019a&quot; title=&quot;Stewart et al 2019a&quot;&gt;Stewart et al 2019a&lt;/a&gt;&lt;/p&gt;
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				&lt;td colspan='1' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan='1' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;Revision as of 08:50, 15 February 2021&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan='2' style='text-align: center;' lang='en'&gt;&lt;div class=&quot;mw-diff-empty&quot;&gt;(No difference)&lt;/div&gt;
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		<author><name>Scipediacontent</name></author>	</entry>

	<entry>
		<id>https://www.scipedia.com/wd/index.php?title=Stewart_et_al_2019a&amp;diff=213405&amp;oldid=prev</id>
		<title>Scipediacontent: Created page with &quot; == Abstract ==  The land use structure is a key component to understand the complexity of urban systems because it provides a snapshot of urban dynamics and how people use sp...&quot;</title>
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				<updated>2021-02-15T08:50:09Z</updated>
		
		<summary type="html">&lt;p&gt;Created page with &amp;quot; == Abstract ==  The land use structure is a key component to understand the complexity of urban systems because it provides a snapshot of urban dynamics and how people use sp...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;&lt;br /&gt;
== Abstract ==&lt;br /&gt;
&lt;br /&gt;
The land use structure is a key component to understand the complexity of urban systems because it provides a snapshot of urban dynamics and how people use space. This paper integrates socially sensed activity data with a remotely sensed land cover product in order to infer urban land use and its changes over time. We conducted a case study in the Washington D.C.&amp;amp;ndash&lt;br /&gt;
&lt;br /&gt;
Baltimore metropolitan area to identify the pattern of land use change from undeveloped to developed land, including residential and non-residential uses for a period covering 1986&amp;amp;ndash&lt;br /&gt;
&lt;br /&gt;
2008. The proposed approach modeled physical and behavioral features of land parcels from a satellite-based impervious surface cover change product and georeferenced Tweets, respectively. A model assessment with random forests classifiers showed that the proposed classification workflow could classify residential and non-residential land uses at an accuracy of 81%, 4% better than modeling the same land uses from physical features alone. Using the timestamps of the impervious surface cover change product, the study also reconstructed the timeline of the identified land uses. The results indicated that the proposed approach was capable of mapping detailed land use and change in an urban region, and represents a new and viable way forward for urban land use surveying that could be especially useful for surveying and tracking changes in cities where traditional approaches and mapping products (i.e., from remote sensing products) may have a limited capacity to capture change.&lt;br /&gt;
&lt;br /&gt;
Document type: Article&lt;br /&gt;
&lt;br /&gt;
== Full document ==&lt;br /&gt;
&amp;lt;pdf&amp;gt;Media:Draft_Content_158754492-beopen608-7975-document.pdf&amp;lt;/pdf&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Original document ==&lt;br /&gt;
&lt;br /&gt;
The different versions of the original document can be found in:&lt;br /&gt;
&lt;br /&gt;
* [http://dx.doi.org/10.3390/rs11242965 http://dx.doi.org/10.3390/rs11242965] under the license https://creativecommons.org/licenses/by&lt;br /&gt;
&lt;br /&gt;
* [http://dx.doi.org/10.3390/rs11242965 http://dx.doi.org/10.3390/rs11242965] under the license http://creativecommons.org/licenses/by/3.0/&lt;br /&gt;
&lt;br /&gt;
* [http://dx.doi.org/10.5167/uzh-181475 http://dx.doi.org/10.5167/uzh-181475] under the license https://creativecommons.org/licenses/by/4.0&lt;br /&gt;
&lt;br /&gt;
* [https://www.mdpi.com/2072-4292/11/24/2965/pdf https://www.mdpi.com/2072-4292/11/24/2965/pdf]&lt;br /&gt;
&lt;br /&gt;
* [https://www.zora.uzh.ch/id/eprint/181475/1/2019_Fu_remotesensing2019-fu-song-stewart.pdf https://www.zora.uzh.ch/id/eprint/181475/1/2019_Fu_remotesensing2019-fu-song-stewart.pdf] under the license cc-by&lt;br /&gt;
&lt;br /&gt;
* [https://dblp.uni-trier.de/db/journals/remotesensing/remotesensing11.html#FuSS19 https://dblp.uni-trier.de/db/journals/remotesensing/remotesensing11.html#FuSS19],&lt;br /&gt;
: [https://www.zora.uzh.ch/id/eprint/181475/1/2019_Fu_remotesensing2019-fu-song-stewart.pdf https://www.zora.uzh.ch/id/eprint/181475/1/2019_Fu_remotesensing2019-fu-song-stewart.pdf],&lt;br /&gt;
: [https://www.zora.uzh.ch/id/eprint/181475 https://www.zora.uzh.ch/id/eprint/181475],&lt;br /&gt;
: [https://academic.microsoft.com/#/detail/2999853307 https://academic.microsoft.com/#/detail/2999853307] under the license http://creativecommons.org/licenses/by/4.0/&lt;br /&gt;
&lt;br /&gt;
* [https://www.mdpi.com/2072-4292/11/24/2965/pdf https://www.mdpi.com/2072-4292/11/24/2965/pdf],&lt;br /&gt;
: [http://dx.doi.org/10.3390/rs11242965 http://dx.doi.org/10.3390/rs11242965]&lt;br /&gt;
&lt;br /&gt;
 under the license https://creativecommons.org/licenses/by/4.0/&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
DOIS: 10.3390/rs11242965 10.5167/uzh-181475&lt;/div&gt;</summary>
		<author><name>Scipediacontent</name></author>	</entry>

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