BD Open LULC Map: High-resolution land use land cover mapping & benchmarking for urban development in Dhaka, Bangladesh

• URL: http://arxiv.org/abs/2505.21915v1
• Date: Wed, 28 May 2025 03:00:03 GMT
• Title: BD Open LULC Map: High-resolution land use land cover mapping & benchmarking for urban development in Dhaka, Bangladesh
• Authors: Mir Sazzat Hossain, Ovi Paul, Md Akil Raihan Iftee, Rakibul Hasan Rajib, Abu Bakar Siddik Nayem, Anis Sarker, Arshad Momen, Md. Ashraful Amin, Amin Ahsan Ali, AKM Mahbubur Rahman,
• Abstract summary: We introduce the BD Open LULC Map (BOLM), providing pixel-wise LULC annotations across eleven classes.<n>BOLM spans 4,392 sq km (891 million pixels), with ground truth validated through a three-stage process.<n>We benchmark LULC segmentation using DeepLab V3+ across five major classes and compare performance on Bing and Sentinel-2A imagery.
• Score: 0.6684911303788182
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Land Use Land Cover (LULC) mapping using deep learning significantly enhances the reliability of LULC classification, aiding in understanding geography, socioeconomic conditions, poverty levels, and urban sprawl. However, the scarcity of annotated satellite data, especially in South/East Asian developing countries, poses a major challenge due to limited funding, diverse infrastructures, and dense populations. In this work, we introduce the BD Open LULC Map (BOLM), providing pixel-wise LULC annotations across eleven classes (e.g., Farmland, Water, Forest, Urban Structure, Rural Built-Up) for Dhaka metropolitan city and its surroundings using high-resolution Bing satellite imagery (2.22 m/pixel). BOLM spans 4,392 sq km (891 million pixels), with ground truth validated through a three-stage process involving GIS experts. We benchmark LULC segmentation using DeepLab V3+ across five major classes and compare performance on Bing and Sentinel-2A imagery. BOLM aims to support reliable deep models and domain adaptation tasks, addressing critical LULC dataset gaps in South/East Asia.

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