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  <responseDate>2026-04-13T21:07:50Z</responseDate>
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        <identifier>oai:meral.edu.mm:recid/00008418</identifier>
        <datestamp>2022-11-30T08:06:20Z</datestamp>
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      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns="http://www.w3.org/2001/XMLSchema" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>"An Analysis on the Spatial Distribution of Land Use and Land Cover in Mandalay City by Using Different Classification Techniques"</dc:title>
          <dc:creator>Aung Nandar Htun</dc:creator>
          <dc:creator>Hla Myitzu</dc:creator>
          <dc:creator>Hla Kyi</dc:creator>
          <dc:creator>Aung Myint</dc:creator>
          <dc:description>"Knowledge of land use and land cover is important for many planning and management
activities concerned with the surface of the earth. The term land cover relates to the type
of feature presented on the surface of the earth and the term land use relates to the human
activities associated with a specific piece of land. The study of the land use patterns and
the monitoring of changes are very important for economic planning and country
development. LULC features of the study area have been identified by using image
classification techniques. Firstly, unsupervised classification was applied to image pixels to
automatically identify distinct spectral classes in the image data. Secondly, Maximum
Likelihood Classification was done using field data and informal questions which were asked
during trip. Finally, NDVI was obtained from Landsat 7 ETM+ data and this method can
successfully estimate the spatial distribution of land use and land cover, especially
vegetative cover. By using the Image Classification Methods one can understand more about
land use and land cover. The advantages of these methods are time and cost saving
particularly for the images of large area."</dc:description>
          <dc:date>2022-08-12</dc:date>
          <dc:identifier>https://meral.edu.mm/records/8418</dc:identifier>
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