LitPop: Global Exposure Data for Disaster Risk Assessment

Asset exposure data for global physical risk assessment
Download
Readme (v1.2) (Text, 6.053Kb)
LitPop data (v.1.2) (TAR, 10.88Gb) Preview Content
LitPop normalized data (v.1.1) (TAR, 5.743Gb) Preview Content
Metadata countries (v.1.2) (CSV, 20.21Kb)
Thumbnail
Open access
ccby
Creator
Eberenz, Samuelcc
Stocker, Dario
Röösli, Thomascc
Bresch, David N.cc
Show all
Date
2019-03
Type
    Dataset
Rights / license
Creative Commons Attribution 4.0 International
Abstract
The modeling of economic disaster risk on a global scale requires high-resolution maps of exposed asset values. We have developed a generic and scalable method to downscale national asset value estimates proportional to a combination of nightlight intensity and population data. Here, we make gridde Show more
Permanent link
https://doi.org/10.3929/ethz-b-000331316
Contributors
Contact person: Eberenz, Samuelcc
Research group: Bresch, David N.cc
Publisher
ETH Zurich
Edition / version
v1.2 (2020-04-09)
Software
CLIMADA – global weather and climate risk assessment platform. Open-source software (Python 3.6+), available on GitHub: https://github.com/CLIMADA-project/climada_python https://github.com/CLIMADA-project/climada_papers
Geographic location
Place nameglobal
Date created
2019-03
Subject
Asset exposure data; Exposed assets; Global; Night lights; Population data; Produced capital; Downscaling; Downscaling approach
Organisational unit
09576 - Bresch, David Niklaus / Bresch, David Niklaus  
Related publications and datasets
More
Show all metadata
ETH Bibliography
yes
Altmetrics