Geoinformation for Disaster and Risk Management - ISPRS
Geoinformation for Disaster and Risk Management - ISPRS
Geoinformation for Disaster and Risk Management - ISPRS
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
Map making<br />
All the map products were st<strong>and</strong>ardized mapping<br />
based on a template. Once the in<strong>for</strong>mation was<br />
extracted or assessment results determined, the map<br />
could be produced rapidly by loading the<br />
in<strong>for</strong>mation into the template according to specific<br />
st<strong>and</strong>ards.<br />
Product dissemination <strong>and</strong> service<br />
There were a total of more than a hundred map<br />
products produced during the earthquake<br />
emergency relief stage. They were distributed to four<br />
different types of agencies in different <strong>for</strong>ms, by fax,<br />
email, hardcopy, website or news conference. The<br />
first <strong>and</strong> primary agencies were the central<br />
government emergency management agencies to<br />
support the emergency rescue, relief, recovery <strong>and</strong><br />
reconstruction decision making. The second<br />
agencies were local government <strong>and</strong> field teams to<br />
support their field deployment. The third agencies<br />
were the public <strong>and</strong> international societies, to<br />
support their awareness raising <strong>and</strong> assistance. The<br />
fourth agencies were the professional institutions in<br />
support of their scientific research.<br />
Experiences <strong>and</strong> lessons learned.<br />
Space technology provided effective <strong>and</strong> timely<br />
in<strong>for</strong>mation <strong>for</strong> Wenchuan Earthquake emergency<br />
response management support. At the same time,<br />
some lessons were also learned <strong>and</strong> should be<br />
carefully considered <strong>for</strong> future events.<br />
44<br />
Experiences<br />
(1) An inventory of the space resources should be<br />
compiled <strong>and</strong> made a component of the national<br />
emergency response working procedures. Full<br />
advantage should be taken of international <strong>and</strong><br />
domestic space data acquisition scheduling to ensure<br />
timely acquisitions. Large quantities <strong>and</strong> multiple<br />
types of space borne EO images should be acquired.<br />
(2) Scientifically based effective emergency<br />
operational procedures should be developed<br />
according to the disaster response requirements <strong>and</strong><br />
space resources. Forming different working teams<br />
which were assigned distinct responsibilities<br />
according to the working procedures proved<br />
effective.<br />
(3) Social resources must be mobilizing <strong>and</strong> made<br />
best use of. For major disasters, a single agency<br />
cannot cope with all the problems. More than 40<br />
professional volunteers from research institutes <strong>and</strong><br />
universities were mobilization to participate in<br />
processing the data <strong>and</strong> mapping.<br />
(4) Remote sensing cannot provide all the<br />
in<strong>for</strong>mation <strong>for</strong> disaster management support.<br />
Integration of images with social in<strong>for</strong>mation,<br />
statistical disaster in<strong>for</strong>mation <strong>and</strong> field<br />
investigation were essential.<br />
lessons learned<br />
(1) The observing time <strong>and</strong> location of the requested<br />
EO data should be dynamically planned to ensure<br />
they cover all disaster affected area <strong>and</strong> at different<br />
stages. Because of the lack of an observation plan,<br />
many acquired images were redundant around the<br />
area of the epicentre but there was a shortage of<br />
images on the edges of the affected area.<br />
(2) Capabilities to process the massive amount of EO<br />
data <strong>and</strong> extract useful in<strong>for</strong>mation <strong>for</strong> emergency<br />
response should be improved. It is important to<br />
develop automatic or semi-automatic methods <strong>for</strong><br />
data processing in real-time or near real-time, <strong>for</strong><br />
example, within 1-2 hours after acquisition (Deren<br />
Li, 2009).