Land-use and land-cover classification using Sentinel-2 data and machine-learning algorithms: operational method and its implementation for a mountainous area of Nepal - Archive ouverte HAL
Article Dans Une Revue Journal of applied remote sensing Année : 2019

Land-use and land-cover classification using Sentinel-2 data and machine-learning algorithms: operational method and its implementation for a mountainous area of Nepal

Domaines

Ecologie, Environnement

Paul Passy  : Connectez-vous pour contacter le contributeur

https://hal.science/hal-03102597

Soumis le : jeudi 7 janvier 2021-16:01:38

Dernière modification le : jeudi 1 août 2024-13:48:06

Fichier non déposé

Dates et versions

hal-03102597 , version 1 (07-01-2021)

Identifiants

Citer

Marie Delalay, Varun Tiwari, Alan Ziegler, Vik Gopal, Paul Passy. Land-use and land-cover classification using Sentinel-2 data and machine-learning algorithms: operational method and its implementation for a mountainous area of Nepal. Journal of applied remote sensing, 2019, 13 (01), pp.1. ⟨10.1117/1.JRS.13.014530⟩. ⟨hal-03102597⟩

Exporter

BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite

Collections

CEA INSU X ENS-PARIS CNRS UVSQ PSL UNIV-PARIS-SACLAY CEA-DRF SORBONNE-UNIVERSITE SU-SCIENCES FR-636 UP-SCIENCES
42 Consultations
0 Téléchargements

Altmetric

Partager

More