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

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...

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Bibliographic Details
Published in:	Scientific data Vol. 11; no. 1; p. 334
Main Authors:	Rodda, Suraj Reddy, Fararoda, Rakesh, Gopalakrishnan, Rajashekar, Jha, Nidhi, Réjou-Méchain, Maxime, Couteron, Pierre, Barbier, Nicolas, Alfonso, Alonso, Bako, Ousmane, Bassama, Patrick, Behera, Debabrata, Bissiengou, Pulcherie, Biyiha, Hervé, Brockelman, Warren Y., Chanthorn, Wirong, Chauhan, Prakash, Dadhwal, Vinay Kumar, Dauby, Gilles, Deblauwe, Vincent, Dongmo, Narcis, Droissart, Vincent, Jeyakumar, Selvaraj, Jha, Chandra Shekar, Kandem, Narcisse G., Katembo, John, Kougue, Ronald, Leblanc, Hugo, Lewis, Simon, Libalah, Moses, Manikandan, Maya, Martin-Ducup, Olivier, Mbock, Germain, Memiaghe, Hervé, Mofack, Gislain, Mutyala, Praveen, Narayanan, Ayyappan, Nathalang, Anuttara, Ndjock, Gilbert Oum, Ngoula, Fernandez, Nidamanuri, Rama Rao, Pélissier, Raphaël, Saatchi, Sassan, Sagang, Le Bienfaiteur, Salla, Patrick, Simo-Droissart, Murielle, Smith, Thomas B., Sonké, Bonaventure, Stevart, Tariq, Tjomb, Danièle, Zebaze, Donatien, Zemagho, Lise, Ploton, Pierre
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 04-04-2024 Nature Publishing Group Nature Portfolio
Subjects:	639/4077/4057 704/158/1145 706/1145 Africa, Central Asia, Southern Biomass Carbon cycle Data Descriptor Datasets Environmental Sciences Forests Humanities and Social Sciences Lidar Mapping multidisciplinary Reproducibility of Results Science Science (multidisciplinary) Trees Tropical Climate Tropical forests Africa, Central Asia, Southern Central Africa South Asia Carbon capture and storage Forestry
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Summary:	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).
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Undefined-3
ISSN:	2052-4463 2052-4463
DOI:	10.1038/s41597-024-03162-x