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