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  <titleInfo>
    <title>Application of flood plain mapping and risk assessment by the integration of fused multisensor remote sensing derived information within a GIS</title>
  </titleInfo>
  <name type="personal">
    <namePart>Sirivilai Kanchanaharn</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Schumann, Robert G.</namePart>
    <role>
      <roleTerm type="text">Chairperson    </roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Kaew Nualchawee</namePart>
    <role>
      <roleTerm type="text">Examination committee           </roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Honda, Kiyoshi</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>EGAT (Electricity Generating Authority of Thailand)</namePart>
    <role>
      <roleTerm type="text">Scholarship donor</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">theses</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>1997</dateIssued>
    <issuance>continuing</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
    <extent>156, [3] leaves</extent>
  </physicalDescription>
  <abstract>The flood situation in Thailand becomes more serious each year in terms of its severity,  duration and size of area affected. In pa1ticular the flooding inl 995 in and around Bangkok is  considered the worst since big flood in 1983, causing a lot of damage to the social and  economic development of the immediate area as well as the country as a whole. Government  agencies have urgent need of reliable and timely information as to the extent and severity of  flood as an aid to improving their management and mitigation activities. This information is  often difficult to obtain over such a large area and Remote Sensing and GIS are expected to  yield significant improvements in this regard. This paper presents results that fuses optical and  microwave acquired data and integrates this with a GIS, to study inter-annual dynamics at the  height of flood across a three-year period from October 1993. This period includes dry,  intermediate and very wet flood conditions. The information developed in this study enables  flood risk assessment and results of landuse and flood classification and GIS integration are  presented. </abstract>
  <note>A thesis submitted in partial fulfillment of the requirements for the degree of  Master of  Science, School of Environment, Resources and Development </note>
  <note>Thesis (M.Sc.) - Asian Institute of Technology, 1997</note>
  <subject authority="lcsh">
    <topic>Floodplain management</topic>
    <geographic>Thailand</geographic>
  </subject>
  <subject authority="lcsh">
    <topic>Risk assessment</topic>
    <geographic>Thailand</geographic>
  </subject>
  <relatedItem type="series">
    <titleInfo>
      <title>Thesis ; no. SR-97-12</title>
    </titleInfo>
    <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=B14116</identifier>
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    <url displayLabel="Full-Text"> http://203.159.5.9/ait-thesis/detail.php?q=B14116</url>
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    <recordCreationDate encoding="marc">980220</recordCreationDate>
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