Ontology highlight
ABSTRACT:
SUBMITTER: Rodda SR
PROVIDER: S-EPMC10995191 | biostudies-literature | 2024 Apr
REPOSITORIES: biostudies-literature
Rodda Suraj Reddy SR Fararoda Rakesh R Gopalakrishnan Rajashekar R Jha Nidhi N Réjou-Méchain Maxime M Couteron Pierre P Barbier Nicolas N Alfonso Alonso A Bako Ousmane O Bassama Patrick P Behera Debabrata D Bissiengou Pulcherie P Biyiha Hervé H Brockelman Warren Y WY Chanthorn Wirong W Chauhan Prakash P Dadhwal Vinay Kumar VK Dauby Gilles G Deblauwe Vincent V Dongmo Narcis N Droissart Vincent V Jeyakumar Selvaraj S Jha Chandra Shekar CS Kandem Narcisse G NG Katembo John J Kougue Ronald R Leblanc Hugo H Lewis Simon S Libalah Moses M Manikandan Maya M Martin-Ducup Olivier O Mbock Germain G Memiaghe Hervé H Mofack Gislain G Mutyala Praveen P Narayanan Ayyappan A Nathalang Anuttara A Ndjock Gilbert Oum GO Ngoula Fernandez F Nidamanuri Rama Rao RR Pélissier Raphaël R Saatchi Sassan S Sagang Le Bienfaiteur LB Salla Patrick P Simo-Droissart Murielle M Smith Thomas B TB Sonké Bonaventure B Stevart Tariq T Tjomb Danièle D Zebaze Donatien D Zemagho Lise L Ploton Pierre P
Scientific data 20240404 1
Accurate mapping and monitoring of tropical forests aboveground biomass (AGB) is crucial to design effective carbon emission reduction strategies and improving our understanding of Earth's carbon cycle. However, existing large-scale maps of tropical forest AGB generated through combinations of Earth Observation (EO) and forest inventory data show markedly divergent estimates, even after accounting for reported uncertainties. To address this, a network of high-quality reference data is needed to ...[more]