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Beledweyne Flood Frequency Mapping (FFM) from Sentinel-1 SAR

Domaine:

geospatialclimate

Type de record:

software
Créateur:
HeoKimYunLee
Éditeur:
Zenodo
Hôte:avatar

Initial public release of the Beledweyne flood frequency mapping (FFM) pipeline accompanying the manuscript submitted to Sustainability:

"Are Flood-Risk Relocation Policies Sustainable? Decadal SAR Evidence of Re-encroachment in Beledweyne, Somalia"

What's included

  • 9 Python modules under src/ (33 functions: SAR preprocessing, flood detection, FFM, HAND, BFAST, GEE helpers, viz)
  • 7 sequential Jupyter notebooks (notebooks/01_* → 07_*) demonstrating full reproducibility
  • Pre-computed FFM products (CSV summary tables) and publication figures
  • Verification: NB 07 reproduces legacy FFM exactly (Max |diff| = 0.000000, Pearson r = 1.000000, 8,916,196 pixels)

Key results

  • Three flood detection methods compared: Z-score, Fixed-threshold, Log-ratio
  • Cross-method correlations: r(Z, Fixed) = -0.0435, r(Z, LR) = +0.6759, r(Fixed, LR) = +0.0792

Citation

See CITATION.cff in the repository root.

If you use this software or dataset, please cite both the article and this repository.

Visit

doi.org

Tasks

computer vision

Languages

Sar

Tags

Sentinel-1SARflood mappingflood frequencyBeledweyneSomaliaGoogle Earth EngineBFASTHANDrelocation policy

Licenses

info:eu-repo/semantics/openAccessMIT Licensehttps://opensource.org/licenses/MIT

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lsj794222-stack/beledweyne-flood-ffm

SAR-based flood frequency mapping for Beledweyne, Somalia (Sustainability 2026) # Beledweyne Flood

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