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Geoinformation for Disaster and Risk Management - ISPRS

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The local capacity to use geoin<strong>for</strong>matics <strong>for</strong> LFEWS<br />

is gradually growing but still limited to a small<br />

number of institutions, such as universities <strong>and</strong> a<br />

few others. Substantial training is needed to enable<br />

more institutions to make full use of the potential of<br />

remote sensing <strong>and</strong> GIS tools. Cost remains a factor<br />

limiting the spreading of geoin<strong>for</strong>matics to many<br />

offices. However, the potential of free or low cost<br />

tools <strong>and</strong> data in flood risk management is<br />

substantial. There are several free <strong>and</strong> open-source<br />

(FOSS) GIS <strong>and</strong> remote sensing programs covering a<br />

wide range of tasks. Nevertheless, <strong>for</strong> specific<br />

processing tasks, such as <strong>for</strong> actual flood modeling<br />

or more advanced image processing, commercial<br />

software is still needed, <strong>and</strong> was also used in the<br />

setting up of the Binahaan LFEWS. Use was made of<br />

free or low-cost satellite data (e.g. L<strong>and</strong>sat, SRTM, or<br />

GDEM). The project also used SPOT data obtained<br />

via a Planet Action project of SPOT Imaging, which<br />

supports projects related to adaptation to climate<br />

change. Also the potential of 3-hourly data from the<br />

Tropical Rainfall Measurement Mission (TRMM)<br />

satellite to estimate real-time rainfall was assessed.<br />

These data are available without charge via the<br />

internet. Historical ground rainfall measurements<br />

were compared with the respective TRMM data.<br />

However, <strong>for</strong> the watershed size considered here, the<br />

error of the TRMM data was too large <strong>for</strong> the data to<br />

be used <strong>for</strong> warning purposes. Nevertheless, the data<br />

have been used successfully elsewhere, <strong>and</strong> new<br />

instruments <strong>and</strong> algorithms suggest that satellitebased<br />

rainfall estimates may soon be reliable enough<br />

<strong>for</strong> most areas. Their most significant advantage is<br />

that <strong>for</strong> areas where no rain or river gauges exist,<br />

early warning will still be possible. Even where<br />

ground instruments are available, real-time satellite<br />

estimates mean an extra time advantage<br />

Figure 4: L<strong>and</strong> use map of Binahaan river basin based on SPOT <strong>and</strong> ASTER data.<br />

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