High-Resolution Land-Use and Land-Cover Map of Bangladesh [2020・2023]
(Released in September 2025 / 2020BGD_v25.09 & 2023BGD_v25.09)

Notes and Disclaimer: This product was developed by the University of Tsukuba as a spin-off research project of JAXA HRLULC, with the cooperation of JAXA EORC and RESTEC. It is currently in the research stage and is intended solely for academic purposes. Accordingly, please be advised that the University of Tsukuba and the creators assume no responsibility for any damages that may arise from its use.

Published Paper: Sarker, M.M. et al. (2025). The First National-Scale High-Resolution Land Use Land Cover Map of Bangladesh Using Multi-Temporal Optical and SAR Imagery. Earth, 6, 143. https://doi.org/10.3390/earth6040143

Interactive Map Preview

Switch between 2020 and 2023 versions using the layer panel. Default: 2023 version.

Legend:

Download link

2020BGD_v25.09: 14 categories

Download (.zip)

2023BGD_v25.09: 14 categories

Download (.zip)

Category Definitions

Figure 1: Definition of the 14 classification categories for HRLULC-Bangladesh.

Classification Methodology

The map was generated using the classifier "SACLASS2" developed by JAXA, integrating multi-temporal Sentinel-2/MSI optical data and ALOS-2/PALSAR-2 SAR data. This approach captures the distinct phenological characteristics of South Asian agricultural cycles.

Accuracy Assessment

The national-scale map achieved robust overall accuracy across both periods, validating the reliability of multi-temporal satellite data integration.

Figure 2: Comparison of producer accuracy (PA) and user accuracy (UA) with 95% confidence intervals across different LULC categories for the years 2020 and 2023.