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LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa.


ABSTRACT: 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 calibrate and validate mapping algorithms. This study aims to generate reference AGB datasets using field inventory plots and airborne LiDAR data for eight sites in Central Africa and five sites in South Asia, two regions largely underrepresented in global reference AGB datasets. The study provides access to these reference AGB maps, including uncertainty maps, at 100 m and 40 m spatial resolutions covering a total LiDAR footprint of 1,11,650 ha [ranging from 150 to 40,000 ha at site level]. These maps serve as calibration/validation datasets to improve the accuracy and reliability of AGB mapping for current and upcoming EO missions (viz., GEDI, BIOMASS, and NISAR).

SUBMITTER: Rodda SR 

PROVIDER: S-EPMC10995191 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature

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LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa.

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]

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