Terrain classification using machine learning algorithms in a multi-temporal approach A QGIS plug-in implementation

Land cover and land use (LCLU) maps are essential for the successful administration of a nation’s topography, however, conventional on-site data gathering methods are costly and time-consuming. By contrast, remote sensing data can be used to generate up-to-date maps regularly with the help of machin...

Full description

Bibliographic Details
Main Author: Assunção, Jorge Miguel Soares de Campos (author)
Format: masterThesis
Language:eng
Published: 2021
Subjects:
Sentinel-2
Machine learning
Land cover and land use
Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
Online Access:http://hdl.handle.net/10362/129178
Country:Portugal
Oai:oai:run.unl.pt:10362/129178

Internet

http://hdl.handle.net/10362/129178

Similar Items