Critical Assessment of Cocoa Classification with Limited Reference Data: A Study in Côte d’Ivoire and Ghana Using Sentinel-2 and Random Forest Model

Critical Assessment of Cocoa Classification with Limited Reference Data: A Study in Côte d’Ivoire and Ghana Using Sentinel-2 and Random Forest Model

Cocoa is the economic backbone of Côte d’Ivoire and Ghana, making them the leading cocoa-producing countries in the world. However, cocoa farming has been a major driver of deforestation and landscape degradation in West Africa. Various stakeholders are striving for a zero-deforestation cocoa sector...

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Bibliographic Details
Main Authors: Nikoletta Moraiti, Adugna Mullissa, Eric Rahn, Marieke Sassen, Johannes Reiche
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Remote Sensing
Subjects:
cocoa classification
crop mapping
limited reference data
qualitative assessment
random forest
feature engineering
Online Access:https://www.mdpi.com/2072-4292/16/3/598

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