Machine Learning Techniques for Land Use/Land Cover Classification of Medium Resolution Optical Satellite Imagery Focusing on Temporary Inundated Areas

Machine Learning Techniques for Land Use/Land Cover Classification of Medium Resolution Optical Satellite Imagery Focusing on Temporary Inundated Areas

Classification of multispectral optical satellite data using machine learning techniques to derive land use/land cover thematic data is important for many applications. Comparing the latest algorithms, our research aims to determine the best option to classify land use/land cover with special focus...

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Bibliographic Details
Main Authors: van Leeuwen Boudewijn, Tobak Zalán, Kovács Ferenc
Format: Article
Language:English
Published: University of Szeged 2020-04-01
Series:Journal of Environmental Geography
Subjects:
sentinel 2
artificial neural network
random forest
support vector machine
machine learning
classification
Online Access:https://doi.org/10.2478/jengeo-2020-0005

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