Work

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

Year: 2026

Type: dataset

Abstract: 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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.22089229

Authors: Hossain, Md. Imran, Rahman, Md. Mujibor, Rahman, Md. Redwanur

Institutions: University of Rajshahi, Khulna University

Language: English

Topic: Remote-Sensing Image Classification

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: green

OpenAlex ID: W7204183133

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