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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Principais autores:	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
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2025-11-01
Series:	Earth
Assuntos:	land use land cover (LULC) convolutional neural network (CNN) Sentinel-2 PALSAR-2 Sentinel-1 change detection
Acceso en liña:	https://www.mdpi.com/2673-4834/6/4/143
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