Convolutional Neural Networks for Agricultural Land Use Classification from Sentinel-2 Image Time Series

Convolutional Neural Networks for Agricultural Land Use Classification from Sentinel-2 Image Time Series

Land use classification (LUC) is the process of providing information on land cover and the types of human activity involved in land use. In this study, we perform agricultural LUC using sequences of multispectral reflectance Sentinel-2 images taken in 2018. LUC can be carried out using machine or d...

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Bibliographic Details
Main Authors: Alejandro-Martín Simón Sánchez, José González-Piqueras, Luis de la Ossa, Alfonso Calera
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Remote Sensing
Subjects:
deep learning
remote sensing
land use classification
sentinel
time series
Online Access:https://www.mdpi.com/2072-4292/14/21/5373

Internet

https://www.mdpi.com/2072-4292/14/21/5373

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