Population numbers are crucial information in the aftermath of a natural
disaster. Questions like how many people are affected, how many survived
and how many would need prolonged assistance are key issues for crisis
response and reconstruction. However, information and accurate figures on
where people live and population characteristics are not always available,
especially in developing countries.
A methodology was developed to rapidly estimate population distribution
and density in disaster affected areas. It is based on earth observation satellite
imagery with high resolution and the classification of the built-up areas
therein conducting a textural analysis. In a second step latest available census
data is taken and interpolated on the built-up classes applying binary
dasymetric mapping. Result is a population density estimation per built-up
area presenting a better picture than known from global datasets like the
Gridded Population of the World or Landscan¿.
ZEUG Gunter;
KRANZ Olaf;
ECKERT Sandra;
2010-02-15
Masaryk University
JRC52574
https://publications.jrc.ec.europa.eu/repository/handle/JRC52574,
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