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

Suraj Reddy Rodda; Rakesh Fararoda; Rajashekar Gopalakrishnan; Nidhi Jha; Maxime Réjou-Méchain; Pierre Couteron; Nicolas Barbier; Alonso Alfonso; Ousmane Bako; Patrick Bassama; Debabrata Behera; Pulcherie Bissiengou; Hervé Biyiha; Warren Y Brockelman; Wirong Chanthorn; Prakash Chauhan; Vinay Kumar Dadhwal; Gilles Dauby; Vincent Deblauwe; Narcis Dongmo; Vincent Droissart; Selvaraj Jeyakumar; Chandra Shekar Jha; Narcisse G Kandem; John Katembo; Ronald Kougue; Hugo Leblanc; Simon Lewis; Moses Libalah; Maya Manikandan; Olivier Martin-Ducup; Germain Mbock; Hervé Memiaghe; Gislain Mofack; Praveen Mutyala; Ayyappan Narayanan; Anuttara Nathalang; Gilbert Oum Ndjock; Fernandez Ngoula; Rama Rao Nidamanuri; Raphaël Pélissier; Sassan Saatchi; Le Bienfaiteur Sagang; Patrick Salla; Murielle Simo-Droissart; Thomas B Smith; Bonaventure Sonké; Tariq Stevart; Danièle Tjomb; Donatien Zebaze; Lise Zemagho; Pierre Ploton

doi:10.1038/s41597-024-03162-x

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

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

Suraj Reddy Rodda, Rakesh Fararoda, Rajashekar Gopalakrishnan, Nidhi Jha, Maxime Réjou-Méchain, Pierre Couteron, Nicolas Barbier, Alonso Alfonso, Ousmane Bako, Patrick Bassama, …

Scientific Data , Vol.11

04/04/2024

DOI: https://doi.org/10.1038/s41597-024-03162-x

PMID: 38575638

Abstract

Carbon capture and storage

Forestry

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).

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Title: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa
Creators - without role: Suraj Reddy Rodda - National Remote Sensing Centre
Rakesh Fararoda - National Remote Sensing Centre
Rajashekar Gopalakrishnan - National Remote Sensing Centre
Nidhi Jha - Oregon State University
Maxime Réjou-Méchain - Université de Montpellier, BotAnique et Modélisation de l'Architecture des Plantes et des végétations - AMAP
Pierre Couteron - Université de Montpellier, BotAnique et Modélisation de l'Architecture des Plantes et des végétations - AMAP
Nicolas Barbier - Université de Montpellier, BotAnique et Modélisation de l'Architecture des Plantes et des végétations - AMAP
Alonso Alfonso - Smithsonian Conservation Biology Institute
Ousmane Bako - Ecole Nationale des Eaux et Forêts de Mbalmayo
Patrick Bassama - Ecole Nationale des Eaux et Forêts de Mbalmayo
Debabrata Behera - French Institute of Pondicherry
Pulcherie Bissiengou - Omar Bongo University
Hervé Biyiha - Ecole Nationale des Eaux et Forêts de Mbalmayo
Warren Y Brockelman - National Science and Technology Development Agency
Wirong Chanthorn - Kasetsart University
Prakash Chauhan - National Remote Sensing Centre
Vinay Kumar Dadhwal - National Institute of Advanced Studies
Gilles Dauby - Université de Montpellier, BotAnique et Modélisation de l'Architecture des Plantes et des végétations - AMAP
Vincent Deblauwe - International Institute of Tropical Agriculture
Narcis Dongmo - Ecole Nationale des Eaux et Forêts de Mbalmayo
Vincent Droissart - Université de Montpellier, BotAnique et Modélisation de l'Architecture des Plantes et des végétations - AMAP
Selvaraj Jeyakumar - French Institute of Pondicherry
Chandra Shekar Jha - National Remote Sensing Centre
Narcisse G Kandem - Université de Yaoundé I
John Katembo - Institut Supérieur d’Etudes Agronomiques de Bengamisa, République Démocratique du Congo,
Ronald Kougue - Ecole Nationale des Eaux et Forêts de Mbalmayo
Hugo Leblanc - Université de Montpellier, BotAnique et Modélisation de l'Architecture des Plantes et des végétations - AMAP
Simon Lewis - University College London
Moses Libalah - Université de Yaoundé I
Maya Manikandan - National Remote Sensing Centre
Olivier Martin-Ducup - Écologie des Forêts Méditerranéennes
Germain Mbock - Ecole Nationale des Eaux et Forêts de Mbalmayo
Hervé Memiaghe - Omar Bongo University
Gislain Mofack - Université de Yaoundé I
Praveen Mutyala - National Remote Sensing Centre
Ayyappan Narayanan - Institut Français
Anuttara Nathalang - National Science and Technology Development Agency
Gilbert Oum Ndjock - ministry of Forestry and Wildlife
Fernandez Ngoula - Université de Yaoundé I
Rama Rao Nidamanuri - Indian Institute of Science Education and Research Thiruvananthapuram
Raphaël Pélissier - Université de Montpellier, BotAnique et Modélisation de l'Architecture des Plantes et des végétations - AMAP
Sassan Saatchi - Jet Propulsion Laboratory
Le Bienfaiteur Sagang - Université de Yaoundé I
Patrick Salla - Université de Yaoundé I
Murielle Simo-Droissart - Université de Yaoundé I
Thomas B Smith - University of California, Los Angeles
Bonaventure Sonké - Université de Yaoundé I
Tariq Stevart - Missouri Botanical Garden
Danièle Tjomb - Ecole Nationale des Eaux et Forêts de Mbalmayo
Donatien Zebaze - Université de Yaoundé I
Lise Zemagho - Université de Yaoundé I
Pierre Ploton - Université de Montpellier, BotAnique et Modélisation de l'Architecture des Plantes et des végétations - AMAP
Publication Details: Scientific Data , Vol.11
Identifiers: 9937492909311
Academic Unit: BotAnique et Modélisation de l'Architecture des Plantes et des végétations - AMAP
Language: English
Resource Type: Journal article
Local Fields: hal-04540481