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  <responseDate>2026-06-27T02:44:21Z</responseDate>
  <request verb="GetRecord" identifier="oai:meral.edu.mm:recid/00008419" metadataPrefix="oai_dc">https://meral.edu.mm/oai</request>
  <GetRecord>
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      <header>
        <identifier>oai:meral.edu.mm:recid/00008419</identifier>
        <datestamp>2022-11-30T08:21:03Z</datestamp>
        <setSpec>1582963788001:1582966223276</setSpec>
      </header>
      <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>Analysis on Land Use and Land Cover Changes in Tabayin Township</dc:title>
          <dc:creator>Aye Aye Moe</dc:creator>
          <dc:description>"Tabayin Township is located in Shwebo District of Sagaing Region. Land use and Land cover
(LULC) pattern of an area is an outcome of natural and socio-economic factors. The main
aim of this analysis is to study the changes in land use and land cover in Tabayin Township.
To attain this, satellite data of Landsat 2013 and 2020 were downloaded from USGS Earth
Explorer and processed using Remote Sensing (RS) and Geographical Information System
(GIS). The supervised classification in Maximum Likelihood Algorithm method was mostly
employed for the LULC classification. This has been used to prepare the base maps with
four land cover classes that are used to generate LULC maps. This research shows that
barren land between 2013 and 2020 decreased from 61 percent to 27 percent; built up area
changed from 9 percent to 20 percent; vegetation cover increased from 9 percent to 48
percent; while water body area decreased from 21 percent to 6 percent of the study area."</dc:description>
          <dc:identifier>https://meral.edu.mm/records/8419</dc:identifier>
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