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Satellite-Based Census of Residential Buildings: Application for Climate Risk Assessment
Author:
Andinet Woldemichael https://isni.org/isni/0000000404811396 International Monetary Fund

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Iyke Maduako
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Series:
IMF Working Papers
Volume/Issue:
Volume 2024: Issue 204
Language:
English
Publication Date:
20 Sep 2024
DOI:
https://doi.org/10.5089/9798400289828.001
ISBN:
9798400289828
ISSN:
1018-5941
Pages:
32
Keywords:
Census of buildings; Climate Exposure; Building Footprint; flood risk; property indicator; aggregate dwellings Capital Stock value; descriptive statistics of the data; flood hazard map; return period; Housing; Climate change; Stocks; Global
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IMF Working Papers describe research in progress by the author(s) and are published to elicit comments and to encourage debate. The views expressed in IMF Working Papers are those of the author(s) and do not necessarily represent the views of the IMF, its Executive Board, or IMF management.
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Housing represents the largest asset and liability, in the form of mortgages, on most national balance sheet. For most households it is their largest investment, and when mortgages are required also represents the largest component of household debt. It is also directly tied to financial markets, both the mortgage market and insurance sector. Although many countries have a rich set of housing censuses and statistics, others have large data gap in this area and therefore struggle to formulate effective policies. This paper proposes an approach to construct a global census of residential buildings using opensource satellite data. Such a layer can be used to assess the extent these buildings are exposed to climate hazards and how their production and consumption, in turn, affect the climate. The approach we propose could be scaled globally, combining existing layers of building footprints, climate and socioeconomic data. It adds to the ongoing effort of compiling spatially explicit and granular climate indicators to better inform policies. As a case study, we compute selected indicators and estimate the extent of residential properties exposure to riverine flood risk for Kenya.
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Cover IMF Working Papers
IMF Working Papers
ISSN:
1018-5941
Publisher:
International Monetary Fund