Annual Mangrove Extent and Change Maps from 1988 to 2022 in the Sundarbans

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Authors: Zhen Zhang
Cited by: 0

Abstract

This dataset provides annual maps of mangrove forest extent and change in the Sundarbans region from 1988 to 2022, generated using a time-series analysis of Landsat surface reflectance data. The data were produced using a novel temporal consistency checking algorithm (TCC-CS) that integrates both spectral time-series and classification trajectories to improve detection of true mangrove changes and minimize artifacts caused by classification errors. The dataset includes: Annual mangrove extent maps (1988–2022):Binary raster layers where each pixel is classified as mangrove or non-mangrove for each calendar year. Stored in the file AnnualMangroveMaps.zip. Mangrove change maps from 1988 to 2022:Raster layers indicating loss, gain, or stable mangrove pixels between 1988 and 2022. Stored in the file MangroveChanges.zip. Loss/Gain agent maps:Raster layers identifying dominant processes driving the most recent mangrove loss (e.g., erosion, degradation, aquaculture) and gain. Stored in the file MangroveChanges.zip. Loss/Gain year maps:Raster layers identifying the year the most recent mangrove losss or gain occured. Stored in the file MangroveChanges.zip. For a quick overview of the data, feel free to use our Google Earth Engine app: https://zhenzhang.users.earthengine.app/view/sundarbans For more information and citation:Zhang, Z., Ahmed, M. R., Zhang, Q., Li, Y., & Li, Y. (2023). Monitoring of 35-year mangrove wetland change dynamics and agents in the sundarbans using temporal consistency checking. Remote Sensing, 15(3), 625.

Fields of Study & Subjects

Coastal wetland ecosystem dynamics Remote-Sensing Image Classification Wetland Management and Conservation

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
5 February 2026
Document type
Dataset