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Derived Landsat surface-water data and analysis code for the Bangladesh Sundarbans, 1988–2025

Domaine:

geospatial

Type de record:

dataset
Créateur:
HosRahRah
Éditeur:
Zenodo
Hôte:avatar

Derived Landsat products and analysis resources for dry-season surface-water mapping in the Bangladesh Sundarbans across eight benchmark years (1988–2025). The record contains continuous and binary MNDWI products, binary NDWI comparison maps, four-class change rasters, 10th-percentile permanent-water products, digitised study and Forest Range boundaries, temporal/zonal/threshold tables, a 300-point stratified accuracy dataset with a separate 30-point reliability recheck, and Google Earth Engine/Python analysis code. The archive supports explicit evaluation of whether mapped differences exceed the resolving power of the measurement design. Original Landsat scenes are not redistributed.

Visit

doi.org

Tasks

computer vision

Languages

Ndasa

Tags

SundarbansSurface WaterMNDWINDWIMangroveGoogle Earth EngineUncertainty AnalysisCyclone SidrLandsat

Licenses

info:eu-repo/semantics/openAccessCreative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcodeMIT Licensehttps://opensource.org/licenses/MIT

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