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Cherith Moses

As seen in: MDPI
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Articles

Predictive Modelling of Land Cover Changes in the Greater Amanzule Peatlands Using Multi-Source Remote Sensing and Machine Learning Techniques

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By Paul Aplin, Pedro Rodríguez-Veiga, Cherith Moses, Alex Owusu Amoakoh
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Testing the Contribution of Multi-Source Remote Sensing Features for Random Forest Classification of the Greater Amanzule Tropical Peatland

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By Paul Aplin, Irene Delgado-Fernández, Cherith Moses, Stephen Kankam
| MDPI
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