• Title/Summary/Keyword: Disaggregating Population Data

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Information for Urban Risk Management: the Role of Remote and Close Sensing

  • Hofstee, Paul;Genderen, John van
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.162-164
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    • 2003
  • The multi-disciplinary research project Strengthening Local Authorities in Risk Management (SLARIM), initiated by ITC, includes three case study cities in Asia. An important question is: what are the essential data for risk management and how to access such data. The role of common sources (e.g. census data), data derived from remote sensing (high-resolution satellite imagery, aerial photos), and data from close sensing (field observation, including mobile GIS) to acquire essential risk management data will be discussed. Special attention is given to the question of the minimum area and to disaggregating population data. A few examples are given of Kathmandu / Lalitpur, Nepal.

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