Estimation of Aboveground Biomass in Agroforestry Systems over Three Climatic Regions in West Africa Using Sentinel-1, Sentinel-2, ALOS, and GEDI Data

Estimation of Aboveground Biomass in Agroforestry Systems over Three Climatic Regions in West Africa Using Sentinel-1, Sentinel-2, ALOS, and GEDI Data

Agroforestry systems (AFS) offer viable solutions for climate change because of the aboveground biomass (AGB) that is maintained by the tree component. Therefore, spatially explicit estimation of their AGB is crucial for reporting emission reduction efforts, which can be enabled using remote sensing...

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Bibliographic Details
Main Authors: Dan Kanmegne Tamga, Hooman Latifi, Tobias Ullmann, Roland Baumhauer, Jules Bayala, Michael Thiel
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
biomass modelling
agroforestry systems
remote sensing
West Africa
map uncertainty assessment
Online Access:https://www.mdpi.com/1424-8220/23/1/349

Internet

https://www.mdpi.com/1424-8220/23/1/349

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