<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-06-01T03:35:14Z</responseDate><request verb="GetRecord" identifier="oai:riuma.uma.es:10630/24102" metadataPrefix="mods">https://riuma.uma.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:riuma.uma.es:10630/24102</identifier><datestamp>2026-02-03T11:17:36Z</datestamp><setSpec>com_10630_2254</setSpec><setSpec>col_10630_37953</setSpec></header><metadata><mods:mods xmlns:doc="http://www.lyncode.com/xoai" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
   <mods:name>
      <mods:namePart>Castro Noblejas, Hugo</mods:namePart>
   </mods:name>
   <mods:name>
      <mods:namePart>Orellana Macías, José María</mods:namePart>
   </mods:name>
   <mods:name>
      <mods:namePart>Mérida-Rodríguez, Matías Francisco</mods:namePart>
   </mods:name>
   <mods:extension>
      <mods:dateAvailable encoding="iso8601">2022-05-13T10:32:10Z</mods:dateAvailable>
   </mods:extension>
   <mods:extension>
      <mods:dateAccessioned encoding="iso8601">2022-05-13T10:32:10Z</mods:dateAccessioned>
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   <mods:originInfo>
      <mods:dateIssued encoding="iso8601">2022-02-03</mods:dateIssued>
   </mods:originInfo>
   <mods:identifier type="citation">Castro Noblejas, H.; Orellana-Macías, J.M.; Mérida Rodríguez, M.F. Use of Vegetation to Classify Urban Landscape Types: Application in a Mediterranean Coastal Area. Land 2022, 11, 228.  https://doi.org/10.3390/land11020228</mods:identifier>
   <mods:identifier type="uri">https://hdl.handle.net/10630/24102</mods:identifier>
   <mods:identifier type="doi">10.3390/land11020228</mods:identifier>
   <mods:abstract>The objectives of this paper are (a) to incorporate vegetation cover into quantitative techniques for identifying and classifying urban landscape types, (b) to implement a methodology to analyse the urban landscape units of three zones in the Mediterranean coastal area and (c) to design a methodology that could be extrapolated to other urban spaces with a similar type and spatial scale. To achieve the objectives, the urban landscape units are characterized in three Mediterranean coastal municipalities in the south of Spain, in the province of Málaga: Benalmádena, Marbella and Manilva. The characterization is based on some of the most representative variables of the urban morphology, such as construction density, road density and building height, also incorporating the presence of vegetation cover, both arboreal and herbaceous and shrub. Data were obtained from the Spanish Cadastral (urban morphology variables) and through remote sensing techniques (vegetation), spatial analysis tools and multivariate analysis were implemented to obtain the characterization and spatial delimitation of the urban typologies. As a result, six clusters are recognized with predominant urban landscape typologies. The proposed procedure is a useful tool to segment the city following landscape criteria, as well as to assess the changes experienced in urban spaces.</mods:abstract>
   <mods:language>
      <mods:languageTerm>eng</mods:languageTerm>
   </mods:language>
   <mods:accessCondition type="useAndReproduction">http://creativecommons.org/licenses/by/4.0/</mods:accessCondition>
   <mods:accessCondition type="useAndReproduction">open access</mods:accessCondition>
   <mods:accessCondition type="useAndReproduction">Atribución 4.0 Internacional</mods:accessCondition>
   <mods:subject>
      <mods:topic>Areas metropolitanas</mods:topic>
   </mods:subject>
   <mods:titleInfo>
      <mods:title>Use of Vegetation to Classify Urban Landscape Types: Application in a Mediterranean Coastal Area</mods:title>
   </mods:titleInfo>
   <mods:genre>journal article</mods:genre>
</mods:mods>
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