Object-Based Classification Approaches for Multitemporal Identification and Monitoring of Pastures in Agroforestry Regions using Multispectral Unmanned Aerial Vehicle Products

Object-Based Classification Approaches for Multitemporal Identification and Monitoring of Pastures in Agroforestry Regions using Multispectral Unmanned Aerial Vehicle Products

Sown Biodiverse Pastures (SBP) are the basis of a high-yield grazing system tailored for Mediterranean ecosystems and widely implemented in Southern Portugal. The application of precision farming methods in SBP requires cost-effective monitoring using remote sensing (RS). The main hurdle for the rem...

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Bibliographic Details
Main Authors: Pedro Vilar, Tiago G. Morais, Nuno R. Rodrigues, Ivo Gama, Marta L. Monteiro, Tiago Domingos, Ricardo F. M. Teixeira
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Remote Sensing
Subjects:
remote sensing
multitemporal classification
machine learning algorithms
land cover classification
tree shadows
flowering
Online Access:https://www.mdpi.com/2072-4292/12/5/814

Internet

https://www.mdpi.com/2072-4292/12/5/814

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