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- Title
Mapeo de cobertura terrestre utilizando aprendizaje máquina.
- Authors
Muñoz Ordóñez, Cristian; Figueroa, Apolinar; Pencue Fierro, Leonairo; Muñoz Ordóñez, Julián
- Abstract
Objective: Make an evolution dynamics analysis of covers on the Upper Cauca River Basin. Methodology: This research presents a landcover classification process on the UCB using Landsat-8 and Sentinel-1 data. This analysis was carried out by means of the features classification of optical and radar satellite data using machine learning algorithms. Results and conclusions: regions that present affectation in their vegetation cover were identified, showing the importance of the conjugated use of these two types of sources. The classification had an accuracy of 88.9% and a kappa coefficient of 0.86.
- Subjects
SENTINEL-1 (Artificial satellite); OPTICAL radar; MACHINE learning; WATERSHEDS; REMOTE-sensing images; GROUND vegetation cover
- Publication
Investigación e Innovación en Ingenierías, 2020, Vol 8, p85
- ISSN
2344-8652
- Publication type
Article
- DOI
10.17081/invinno.8.3.4706