Multiclass Land Use and Land Cover Classification of Andean Sub-Basins in Colombia with Sentinel-2 and Deep Learning
Land Use and Land Cover (LULC) classification using remote sensing data is a challenging problem that has evolved with the update and launch of new satellites in orbit. As new satellites are launched with higher spatial and spectral resolution and shorter revisit times, LULC classification has evolv...
- Autores:
-
Arrechea Castillo, Darwin Alexis
Solano Correa, Yady Tatiana
Muñoz Ordóñez, Julián Fernando
Pencue Fierro, Edgar Leonairo
Figueroa Casas, Apolinar
- Tipo de recurso:
- Fecha de publicación:
- 2023
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/11850
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/11850
- Palabra clave:
- Land Cover Classification
Land Use Classification
Deep Learning
Convolutional Neural Network
Remote Sensing
Sentinel-2
LEMB
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/