The First National-Scale High-Resolution Land Use Land Cover Map of Bangladesh Using Multi-Temporal Optical and SAR Imagery

Bangladesh is highly susceptible to land use land cover (LULC) changes due to its geographical location and dense population. These changes have significant effects on food security, urban development, and natural resource management. Policy planning and resource management largely depend on accurat...

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Бібліографічні деталі
Автори:	Md Manik Sarker, Dibakar Chakraborty, Van Thinh Truong, Yuki Mizuno, Sota Hirayama, Takeo Tadono, Mst Irin Parvin, Shun Ito, Md Abdul Aziz Bhuiyan, Naoyoshi Hirade, Sushmita Chakma, Kenlo Nishida Nasahara
Формат:	Artigo
Мова:	Inglês
Опубліковано:	MDPI AG 2025-11-01
Серія:	Earth
Предмети:	land use land cover (LULC) convolutional neural network (CNN) Sentinel-2 PALSAR-2 Sentinel-1 change detection
Онлайн доступ:	https://www.mdpi.com/2673-4834/6/4/143
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The First National-Scale High-Resolution Land Use Land Cover Map of Bangladesh Using Multi-Temporal Optical and SAR Imagery

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