Carbon Stocks and Fluxes in Kenyan Forests and Wooded Grasslands Derived from Earth Observation and Model-Data Fusion

Carbon Stocks and Fluxes in Kenyan Forests and Wooded Grasslands Derived from Earth Observation and Model-Data Fusion

The characterization of carbon stocks and dynamics at the national level is critical for countries engaging in climate change mitigation and adaptation strategies. However, several tropical countries, including Kenya, lack the essential information typically provided by a complete national forest in...

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Bibliographic Details
Main Authors: Pedro Rodríguez-Veiga, Joao Carreiras, Thomas Luke Smallman, Jean-François Exbrayat, Jamleck Ndambiri, Faith Mutwiri, Divinah Nyasaka, Shaun Quegan, Mathew Williams, Heiko Balzter
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Remote Sensing
Subjects:
biomass
carbon
carbon balance
random forests
machine learning
deforestation
Online Access:https://www.mdpi.com/2072-4292/12/15/2380

Internet

https://www.mdpi.com/2072-4292/12/15/2380

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