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

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

doi:10.1109/icip55913.2025.11084396

Conference Paper2025Cited by 1

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

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

2025 IEEE International Conference on Image Processing (ICIP)

IEEE, pp. 2808-2813

DOI: 10.1109/icip55913.2025.11084396 Open Access URL

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 km2(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.

Keywords

land use and land cover mapping
DeepLabV3+
Dhaka Metropolitan Area
domain adaptation
urban sprawl
high-resolution satellite imagery
pixel-wise annotation
annotated dataset
ground truth validation

CCDS Authors

Mir Sazzat Hossain

Research Assistant, CCDS

Bachelors

Independent University, Bangladesh

Published at

WACV, IJCNN, ICIP, Smart Agricultural Technology

Research Interests

Machine Learning, Computer Vision

Ovi Paul

Research Assistant, CCDS

PhD Student

University of Houston

Published at

ICPR, ICIP, Scientific Reports

Research Interests

Machine Learning, Geosensing System Engineering

MD Akil Raihan Iftee

Research Assistant, CCDS

Published at

IJCNN, ICIP

Research Interests

Multimodal Learning, Computer Vision, Trustworthy ML

Rakibul Hasan Rajib

Research Assistant, CCDS

Published at

IJCNN, ICIP, Scientific Reports

Research Interests

Computer Vision, Multimodal Learning, Federated Learning

Abu Bakar Siddik Nayem

Research Assistant, CCDS

Lead ML Engineer

Acme AI

Published at

ICPR, ICIP, Scientific Reports

Research Interests

Machine Learning

Anis Sarker

Research Assistant, CCDS

AI Engineer

AinoviQ

Published at

ICPR, ICIP, Scientific Reports

Research Interests

Machine Learning

Prof. M Ashraful Amin, PhD

Founder Director, CCDS
Director, AI/ML, HCI & DS Wings

Professor

+1 more affiliation

Department of Information Sciences and Technology

George Mason University, USA

Published at

ACL, CHI, UbiComp, ECAI, WACV, PAKDD, IJCNN, ICPR, ICIP, HCII, CLEF, BLP, Scientific Reports, JMIR, IEEE Access, Smart Agricultural Technology, Frontiers in Computational Neuroscience, Diabetes Research and Clinical Practice, PLOS ONE

Research Interests

Machine Learning, Cognitive & Vision Science, Cybernetics, Surveillance & Security, ICT in Education, Health, & Agriculture, Human-Computer Interaction, Internet of Things, Robotics

Amin Ahsan Ali, PhD

Director, AI/ML Wing

Professor

Department of Computer Science and Engineering

Independent University, Bangladesh

Published at

ACL, CHI, UbiComp, ECCV, IJCAI, ECAI, WACV, IPSN, PAKDD, LREC, IJCNN, ICPR, ICIP, BEA, BLP, ICMLA, Scientific Reports, Scientific Data, Pattern Recognition, Information Sciences, Ad Hoc Networks, Drug and Alcohol Dependence, PLOS ONE

Research Interests

Artificial Intelligence, Machine Learning

AKM Mahbubur Rahman, PhD

Director, DS & IPT Wings

Associate Professor

Department of Computer Science and Engineering

Independent University, Bangladesh

Published at

CHI, ECCV, WACV, PAKDD, LREC, IJCNN, ICPR, ICIP, HCII, BEA, Scientific Reports, Information Sciences

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Cited By

1.Renubala Rajkumari, Shabina Hussain. (2025). A systematic literature review of land use and land cover dynamics in Manipur, India. Discover Geoscience, 3(1)[10.1007/s44288-025-00198-3]

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