Predicting land cover map changes in the Philippines for use in LULC-based carbon capture monitoring using deep learning

Predicting land cover map changes in the Philippines for use in LULC-based carbon capture monitoring using deep learning

Detalles Bibliográficos
Autor Principal: Camaclang, Rodolfo C., III (Author)
Outros autores: Ballesteros, Florencio C. Jr (adviser.)
Formato: Thesis
Idioma:English
Publicado: Quezon City College of Engineering, University of the Philippines Diliman 2022.
Subjects:
Carbon sequestration.
Deep learning (Machine learning) .
Acceso en liña:Abstract