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  <titleInfo>
    <title>Application of spot HRV data to identify land use/land cover types in the central Rayong basin, Thailand</title>
  </titleInfo>
  <name type="personal">
    <namePart>Verma, Ashok Kumar</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Nielsen, Jens Moller</namePart>
    <role>
      <roleTerm type="text">Chairperson</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Apisit Eiumnoh</namePart>
    <role>
      <roleTerm type="text">Co-Chairperson</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Kaew Nualchawee</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>DANIDA</namePart>
    <role>
      <roleTerm type="text">Scholarship Donor</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">series</genre>
  <genre authority="marc">technical report</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">th</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Bangkok</placeTerm>
    </place>
    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>1987</dateIssued>
    <issuance>continuing</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
    <extent>77 p.</extent>
  </physicalDescription>
  <abstract>The study has conducted to  and reliability of remotely  identification of land use/land  Basin of Thailand.  assess the applicability, feasibility  sensed data for evaluation and  cover categories in Central Rayong  The result of Principal Component Analysis shows that band 1 and 2  are similar to PCl and band 3 is similar to PC2 yielded more or less  similar results. However, from PC3 it was not possible to extract out  any valuable information. The ratio of band 3/band 2 after edge enhancement was found successful classification procedure. The major  problem of the imagery was the similarity between wet land and bare  land. This problem was overcome by the black and white imagery of band 2  and band 3.  The imagery was classified into different land use/land cover  types using both visual and digital analysis, and the visual analysis  provided a simple and inexpensive means for classification. The  computer analysis yielded better result considering the detail  inventory of land use/land cover types, inspire of heterogeneous and  mixed categories of the study area. The reliability and mapping  accuracy obtained from digital analysis and visual analysis are 85%,  73.9% and 73%, 57.48% respectively which can be accepted for  necessary land use/land cover inventories.</abstract>
  <note>A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Environment, Resources and Development</note>
  <note>Thesis (M.Eng.) - Asian Institute of Technology, 1987</note>
  <subject authority="lcsh">
    <topic>Remote sensing</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Land use</topic>
    <geographic>Thailand</geographic>
    <geographic>Rayong</geographic>
  </subject>
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    <titleInfo>
      <title>Thesis ; no. AE-87-09</title>
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    <name type="corporate">
      <namePart>Asian Institute of Technology.</namePart>
      <namePart/>
    </name>
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  <identifier type="uri">http://203.159.5.9/ait-thesis/detail.php?q=B19058</identifier>
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    <recordCreationDate encoding="marc">110920</recordCreationDate>
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