Human Rights and abuses – SPACE Documentation
Engineering was the first independent organisation to use Earth Observation for
monitoring of human abuses by the study of burnt villages in Darfur which was
carried out for the Danish branch of Amnesty International in May-June 2004. The
study was used as main story in Amnesty Inteternationals global newsletter and
was followed up and used in many contexts – The mapping was based upon a
cost-effective novel method which PRINS eventually documented in
International Journal of Remote sensing and the research was raised by
Nature. In 2005 Amnesty commissioned a report for the potential use of Earth
Observation as such for monitoring of humanitarian abuses this report has have
been prospective and is still valid.
Since the initial
use of EO for
human abuses in 2004 a number of organizations have taken on the
responsibility to carry out analysis of human abuses based upon self explaining
Very High Resolution images (VHR). However, the bottleneck of using VHR is the
cost and limited coverage – prices start from thousands of dollars for achieves
only limited spatial (usually 12 x 12 km) and temporal
coverage. The result is limited surveyed area at a very high cost – consequently
a lot of effort can be given to map a large scale situation like Darfur –
however, it has not lead to any documentation on the spatial organisation of the
abuses - as well as no running large scale monitoring of the situation and what
have happen in the ‘no-go’
we can ADD the large scale overview.
of on human right abuses are turning up they are often imprecise – however, we
will be able to quickly deliver an overview of a situation at a very low cost.
We are also using VHR – but usually for verification of our models in a very
cost effective way.
We provide big
advantages by combining the use of medium-high resolution imagers with VHR – our
use of VHR is usually for verification of our analysis.
with EO is unquestionable - we have worked more than 20 years with analysis in
developing countries and know the drivers from extensive field experiences and
thus are a step ahead in the interpretation and analysis of the images.