Assessing the Predictive Power of Democratic Republic of Congo’s National Spaceborne Biomass Map over Independent Test Samples

Assessing the Predictive Power of Democratic Republic of Congo’s National Spaceborne Biomass Map over Independent Test Samples

Remotely sensed maps of forest carbon stocks have enormous potential for supporting greenhouse gas (GHG) inventory and monitoring in tropical countries. However, most countries have not used maps as the reference data for GHG inventory due to the lack of confidence in the accuracy of maps and of dat...

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Bibliographic Details
Main Authors: Augustin Lamulamu, Pierre Ploton, Luca Birigazzi, Liang Xu, Sassan Saatchi, Jean-Paul Kibambe Lubamba
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Remote Sensing
Subjects:
satellite remote sensing
aboveground biomass
UNFCCC REDD+
Democratic Republic of Congo
national forest inventory
Online Access:https://www.mdpi.com/2072-4292/14/16/4126

Internet

https://www.mdpi.com/2072-4292/14/16/4126

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