Disproportionate flood exposure for slum populations of the Global South

This repository includes the code and data necessary associated with the article " Satellite imaging reveals disproportionate flood exposure in slum populations of the Global South". It was developed in a GPU-enabled Anaconda environment using Python 3.8 and PyTorch with CUDA acceleration. The archive includes scripts for data preprocessing, model training, and model prediction. For detailed usage instructions, please refer to the accompanying README.txt file.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-20
DOI
https://doi.org/10.5281/zenodo.14790692
Citations
1
Primary Topic
Influenza Virus Research Studies
Type
article
Field-Weighted Citation Impact
1.35
Controls
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article

Disproportionate flood exposure for slum populations of the Global South

1 citations
Zenodo (CERN European Organization for Nuclear Research)
Influenza Virus Research Studies
1.35
article

Disproportionate flood exposure for slum populations of the Global South

article en
1 citations

Abstract

This repository includes the code and data necessary associated with the article " Satellite imaging reveals disproportionate flood exposure in slum populations of the Global South". It was developed in a GPU-enabled Anaconda environment using Python 3.8 and PyTorch with CUDA acceleration. The archive includes scripts for data preprocessing, model training, and model prediction. For detailed usage instructions, please refer to the accompanying README.txt file.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 13%
Influenza Virus Research Studies
1.35
DOIOpen Access PDFOpenAlex
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Disproportionate flood exposure for slum populations of the Global South · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS