Assessing the Accuracy of Multiple Classification Algorithms for Crop Classification Using Landsat-8 and Sentinel-2 Data

Assessing the Accuracy of Multiple Classification Algorithms for Crop Classification Using Landsat-8 and Sentinel-2 Data

The launch of Sentinel-2A and B satellites has boosted the development of many applications that could benefit from the fine resolution of the supplied information, both in time and in space. Crop classification is a necessary task for efficient land management. We evaluated the benefits of combinin...

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Bibliographic Details
Main Authors: Amal Chakhar, Damián Ortega-Terol, David Hernández-López, Rocío Ballesteros, José F. Ortega, Miguel A. Moreno
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Remote Sensing
Subjects:
Sentinel-2A
Landsat-8
crop classification
machine learning
satellite-based remote sensing
irrigation
Online Access:https://www.mdpi.com/2072-4292/12/11/1735

Internet

https://www.mdpi.com/2072-4292/12/11/1735

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