Work

Disproportionate flood exposure for slum populations of the Global South

Year: 2025

Type: article

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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.14790692

Author: Dan, Li

Language: English

Topic: Flood Risk Assessment and Management

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Climate action, Reduced inequalities

Open Access status: green

OpenAlex ID: W6930771434

FWCI: 0.435

Cites:

Cited by: 1

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