Identifying global poverty from space

Date:
May 5, 2022
Source:
International Institute for Applied Systems Analysis
Summary:
A new study proposes a novel method to estimate global economic
wellbeing using nighttime satellite images.



FULL STORY ========================================================================== Despite successes in reducing poverty globally in the last two decades,
almost one billion people are still living without access to reliable
and affordable electricity, which in turn negatively affects health
and welfare, and impedes sustainable development. Knowing where these
people are is crucial if aid and infrastructure are to reach them. A
new IIASA-led study proposes a novel method to estimate global economic wellbeing using nighttime satellite images.


========================================================================== Researchers have been using satellite images of Earth at night to study
human activity for almost 30 years and it is well established that these
images - - commonly referred to as nighttime radiance or nighttime lights
-- can help map issues like economic growth, poverty, and inequality, especially in places where data are lacking. In developing countries,
areas that are unlit at night generally indicate limited development,
while brightly lit areas indicate more developed areas like capital
cities where infrastructure is abundant.

Traditionally, researchers have been more interested in using the
data gathered from the lit areas with unlit areas typically being
disregarded. In their study just published in Nature Communications,
IIASA researchers and colleagues from several other institutions, however, specifically focused on the data from the unlit areas to estimate global economic wellbeing.

"Whereas previous work has focused more on the relationship between
lit areas and economic development, we found that it actually also
works the other way around and that unlit areas are a good indicator of poverty. By identifying those unlit areas we can target interventions
for poverty alleviation and places to focus on to improve energy access," explains study author and IIASA Strategic Initiatives Program Director,
Steffen Fritz.

The researchers used a harmonized geo-spatial wealth index for households
in various countries across Africa, Asia, and the Americas calculated by
the Demographic and Health Surveys (DHS) program, which places individual households on a continuous scale of relative wealth from poorer to
richer. They then combined this data with data from satellite images
of global nighttime lights in these countries and found that 19% of the planet's total settlement footprint had no detectable artificial radiance associated with it. The majority of unlit settlement footprints were
found in Africa (39%) and Asia (23%). If only rural unlit infrastructure
is considered, these numbers rise to 65% for Africa and 40% for Asia. In
almost all countries, the results indicate a clear association between increasing percentages of unlit communities in a country and decreasing economic wellbeing levels.

"We were able to map and predict the wealth class of around 2.4 million households for 49 countries spread across Africa, Asia, and the Americas
based on the percentage of unlit settlements detected using nighttime
light satellite images with an overall accuracy of 87%. Surprisingly,
there were also relatively large amounts of unlit settlements in developed countries, in particular Europe. There can be several reasons for this
result, including the fact that the satellite overpass is after midnight,
but it could also be due to conscientious energy and cost saving policies
in Europe by homeowners, governments, and industry," says IIASA Novel
Data Ecosystems for Sustainability Research Group Leader, Ian McCallum,
who led the study.

The researchers note that government agencies typically prioritize
expanding electricity access for urban, rather than rural areas. Rural electrification however holds great promise for increasing wellbeing and
can also have significant positive impacts in terms of household income, expenditure, health, and education. The United Nations (UN) Sustainable Development Goals (SDGs) specifically include 'access to affordable,
reliable, sustainable and modern energy for all' and while efforts are
underway to achieve this goal, and substantial progress has been made
over the past two decades, indications are that governments and industry
will struggle to keep pace with expected population growth.

In sub-Saharan Africa in particular, projections indicate that over
300 million people will still be living in extreme poverty by 2030. The
impacts of the COVID-19 pandemic are likely to push an additional 88 to
115 million people into extreme poverty in 2030, setting back the UN's
goals to reduce poverty by around three years. Studies like this one can however help track developing countries as they electrify and developed
nations as they reduce their light- energy consumption.

"If applied over time, the method we used in our study could provide opportunities to track wellbeing and progress toward the SDGs. In
terms of policy, it can help better inform energy policy around
the globe and can also be helpful in shaping aid policy by ensuring
that we are reaching those remote rural areas that are likely energy
poor. In addition, it could be useful to detect signs of sustainable and environmental management of lighting in the developed world," concludes Transformative Institutional and Social Solutions Research Group Leader, Shonali Pachauri.


========================================================================== Story Source: Materials provided by International_Institute_for_Applied_Systems_Analysis.

Note: Content may be edited for style and length.


========================================================================== Journal Reference:
1. Ian McCallum, Christopher Conrad Maximillian Kyba, Juan Carlos Laso
Bayas, Elena Moltchanova, Matt Cooper, Jesus Crespo Cuaresma,
Shonali Pachauri, Linda See, Olga Danylo, Inian Moorthy, Myroslava
Lesiv, Kimberly Baugh, Christopher D. Elvidge, Martin Hofer,
Steffen Fritz.

Estimating global economic well-being with unlit settlements. Nature
Communications, 2022; 13 (1) DOI: 10.1038/s41467-022-30099-9 ==========================================================================

Link to news story: https://www.sciencedaily.com/releases/2022/05/220505085610.htm

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