Validation of Visually Interpreted Corine Land Cover Classes with Spectral Values of Satellite Images and Machine Learning

We analyzed the Corine Land Cover 2018 (CLC2018) dataset to reveal the correspondence between land cover categories of the CLC and the spectral information of Landsat-8, Sentinel-2 and PlanetScope images. Level 1 categories of the CLC2018 were analyzed in a 25 km × 25 km study area in Hungary. Spect...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Orsolya Gyöngyi Varga, Zoltán Kovács, László Bekő, Péter Burai, Zsuzsanna Csatáriné Szabó, Imre Holb, Sarawut Ninsawat, Szilárd Szabó
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2021-02-01
coleção:	Remote Sensing
Assuntos:	Landsat Sentinel planet CLC2018 Recursive Feature Elimination validation
Acesso em linha:	https://www.mdpi.com/2072-4292/13/5/857
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!