학술논문

LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa.
Document Type
Academic Journal
Author
Rodda SR; Forestry and Ecology Group, National Remote Sensing Centre, ISRO, Hyderabad, 500 037, India. surajreddy.rs@gmail.com.; Indian Institute of Space Science and Technology (IIST), Thiruvananthapuram, Kerala, India. surajreddy.rs@gmail.com.; Fararoda R; Forestry and Ecology Group, National Remote Sensing Centre, ISRO, Hyderabad, 500 037, India.; Gopalakrishnan R; Forestry and Ecology Group, National Remote Sensing Centre, ISRO, Hyderabad, 500 037, India.; Jha N; College of Forestry, Oregon State University, Corvallis, OR, 97331, USA.; Réjou-Méchain M; AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD, Montpellier, France.; Couteron P; AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD, Montpellier, France.; Barbier N; AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD, Montpellier, France.; Alfonso A; Center for Conservation and Sustainability, Smithsonian National Zoo and Conservation Biology Institute, Washington, DC, USA.; Bako O; Ecole Nationale des Eaux et Forêts de Mbalmayo, Ministère Des Forêts Et De La Faune, Mbalmayo, Cameroon.; Bassama P; Ecole Nationale des Eaux et Forêts de Mbalmayo, Ministère Des Forêts Et De La Faune, Mbalmayo, Cameroon.; Behera D; Department of Ecology, French Institute of Pondicherry, Pondicherry, 605 001, India.; Bissiengou P; Institut de pharmacopée et de médecine traditionnelle (Herbier National du Gabon), CENAREST, Libreville, Gabon.; Biyiha H; Ecole Nationale des Eaux et Forêts de Mbalmayo, Ministère Des Forêts Et De La Faune, Mbalmayo, Cameroon.; Brockelman WY; National Biobank of Thailand (NBT), National Science and Technology Development Agency, Klong Luang, Pathum Thani, Thailand.; Chanthorn W; Department of Environmental Technology and Management, Faculty of Environment, Kasetsart University, Bangkok, 10900, Thailand.; Chauhan P; Forestry and Ecology Group, National Remote Sensing Centre, ISRO, Hyderabad, 500 037, India.; Dadhwal VK; National Institute of Advanced Studies (NIAS), Bangalore, India.; Dauby G; AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD, Montpellier, France.; Plant Systematics and Ecology Laboratory, Higher Teachers' Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroun.; International Joint Laboratory DYCOFAC, IRD-UYI-IRGM, P.O Box 1857, Yaoundé, Cameroon.; Deblauwe V; International Institute of Tropical Agriculture (IITA), BP 2008 (Messa), Yaoundé, Cameroon.; Center for Tropical Research, Institute of the Environment and Sustainability, University of California Los Angeles, Los Angeles, CA, 90095, USA.; Dongmo N; Ecole Nationale des Eaux et Forêts de Mbalmayo, Ministère Des Forêts Et De La Faune, Mbalmayo, Cameroon.; Droissart V; AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD, Montpellier, France.; Plant Systematics and Ecology Laboratory, Higher Teachers' Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroun.; Jeyakumar S; Department of Ecology, French Institute of Pondicherry, Pondicherry, 605 001, India.; Jha CS; Forestry and Ecology Group, National Remote Sensing Centre, ISRO, Hyderabad, 500 037, India.; Kandem NG; Plant Systematics and Ecology Laboratory, Higher Teachers' Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroun.; Katembo J; Institut Supérieur d'Etudes Agronomiques de Bengamisa, République Démocratique du Congo, Congo, France.; Kougue R; Ecole Nationale des Eaux et Forêts de Mbalmayo, Ministère Des Forêts Et De La Faune, Mbalmayo, Cameroon.; Leblanc H; AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD, Montpellier, France.; Lewis S; Department of Geography, University College London (UCL), London, UK.; School of Geography, University of Leeds, Leeds, UK.; Libalah M; Plant Systematics and Ecology Laboratory, Higher Teachers' Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroun.; Manikandan M; Forestry and Ecology Group, National Remote Sensing Centre, ISRO, Hyderabad, 500 037, India.; Martin-Ducup O; Ecologie des Forêts Méditerranéennes (URFM), INRAE, F-84914, Avignon, France.; Mbock G; Ecole Nationale des Eaux et Forêts de Mbalmayo, Ministère Des Forêts Et De La Faune, Mbalmayo, Cameroon.; Memiaghe H; Institut de pharmacopée et de médecine traditionnelle (Herbier National du Gabon), CENAREST, Libreville, Gabon.; Mofack G; Plant Systematics and Ecology Laboratory, Higher Teachers' Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroun.; Mutyala P; Forestry and Ecology Group, National Remote Sensing Centre, ISRO, Hyderabad, 500 037, India.; Narayanan A; Department of Ecology, French Institute of Pondicherry, Pondicherry, 605 001, India.; Nathalang A; National Biobank of Thailand (NBT), National Science and Technology Development Agency, Klong Luang, Pathum Thani, Thailand.; Ndjock GO; Dja Wildlife Reserve, Ministry of Forestry and Wildlife, Yaoundé, Cameroon.; Ngoula F; Plant Systematics and Ecology Laboratory, Higher Teachers' Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroun.; Nidamanuri RR; Indian Institute of Space Science and Technology (IIST), Thiruvananthapuram, Kerala, India.; Pélissier R; AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD, Montpellier, France.; Saatchi S; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 91109, USA.; Sagang LB; Plant Systematics and Ecology Laboratory, Higher Teachers' Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroun.; Center for Tropical Research, Institute of the Environment and Sustainability, University of California Los Angeles, Los Angeles, CA, 90095, USA.; Salla P; Plant Systematics and Ecology Laboratory, Higher Teachers' Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroun.; Simo-Droissart M; Plant Systematics and Ecology Laboratory, Higher Teachers' Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroun.; Smith TB; Center for Tropical Research, Institute of the Environment and Sustainability, University of California Los Angeles, Los Angeles, CA, 90095, USA.; Sonké B; Plant Systematics and Ecology Laboratory, Higher Teachers' Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroun.; International Joint Laboratory DYCOFAC, IRD-UYI-IRGM, P.O Box 1857, Yaoundé, Cameroon.; Stevart T; Missouri Botanical Garden, Africa & Madagascar Program, 4344 Shaw Blvd., St. Louis, Missouri, 63110, USA.; Tjomb D; Ecole Nationale des Eaux et Forêts de Mbalmayo, Ministère Des Forêts Et De La Faune, Mbalmayo, Cameroon.; Zebaze D; Plant Systematics and Ecology Laboratory, Higher Teachers' Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroun.; Zemagho L; Plant Systematics and Ecology Laboratory, Higher Teachers' Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroun.; Ploton P; AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD, Montpellier, France.; Plant Systematics and Ecology Laboratory, Higher Teachers' Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroun.; International Joint Laboratory DYCOFAC, IRD-UYI-IRGM, P.O Box 1857, Yaoundé, Cameroon.
Source
Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101640192 Publication Model: Electronic Cited Medium: Internet ISSN: 2052-4463 (Electronic) Linking ISSN: 20524463 NLM ISO Abbreviation: Sci Data Subsets: MEDLINE
Subject
Language
English
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).
(© 2024. The Author(s).)