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Geoinformation for Disaster and Risk Management - ISPRS

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Check <strong>for</strong> compliance with risk regulation<br />

When the available Topographic L<strong>and</strong> Map <strong>and</strong> the<br />

housing data from the RAND were combined, it was<br />

possible to map all settlements within two<br />

kilometres of the coastline. A limited number of<br />

inspection sites were selected, where it was possible<br />

to collect field data including the use of a h<strong>and</strong>held<br />

Global Positioning System (GPS) to ensure positional<br />

accuracy. To be able to provide a benchmark,<br />

inspection sites were selected from various<br />

implementing agencies. To ascertain if newly<br />

constructed houses complied with government<br />

regulations, it is a straight<strong>for</strong>ward process to simply<br />

map the distance from the coast. As can be seen from<br />

Figure 4, some of the houses were constructed<br />

within 300 metres of the coastline. We can also see<br />

from this example that houses built by NGOs are<br />

located even closer to the coastline.<br />

Lessons learned<br />

From the housing audit in Aceh Indonesia, it is clear<br />

that many limitations exist concerning the<br />

availability of data. Data required <strong>for</strong> the audit do not<br />

exist or are not provided by the auditee. The<br />

combined use of GIS <strong>and</strong> remote sensing could help<br />

in resolving this problem. Data accuracy <strong>and</strong><br />

methods to assess the accuracy of spatial (audit)<br />

data still require more attention. As with all data<br />

used by an audit institute, reliability of the data used<br />

in the audit is important <strong>for</strong> its credibility <strong>and</strong> the<br />

confidence of the general public.<br />

86<br />

Figure 3: Sketching of housing projects by field team

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