Created a unified, analysis-ready national mangrove boundary for Bangladesh by processing global Landsat-based mangrove products in Earth Engine, providing foundational data for blue carbon, conservation planning, and climate policy.

• Clipped the Global Mangrove Forests Distribution (2000) dataset to Bangladesh using FAO GAUL, created a binary mangrove mask, and converted it to vector polygons with reduceToVectors.

• Filtered noise via minimum-pixel thresholds and dissolved all polygons into a single clean geometry, enabling robust area estimation, patch counting, and national-scale mapping.

• Produced a ready-to-use asset for national resource inventories, REDD+/blue carbon accounting, coastal protection planning, and long-term mangrove change studies.

  GitHub: https://github.com/mohammadoney/Mangrove-Extent-Mapping