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.15269768
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Disproportionate flood exposure for slum populations of the Global South

Zenodo (CERN European Organization for Nuclear Research)
Flood Risk Assessment and Management
article

Disproportionate flood exposure for slum populations of the Global South

article en

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 55%
Flood Risk Assessment and Management
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