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A universal airborne LiDAR approach for tropical forest carbon mapping

Asner Gregory P., Mascaro Joseph, Muller-Landau Hélène C., Vieilledent Ghislain, Vaudry Romuald, Rasamoelina Maminiaina, Hall Jefferson, Van Breugel Michiel. 2012. A universal airborne LiDAR approach for tropical forest carbon mapping. Oecologia, 168 (4) : pp. 1147-1160.

Journal article ; Article de revue à facteur d'impact
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Quartile : Q2, Sujet : ECOLOGY

Liste HCERES des revues (en SHS) : oui

Thème(s) HCERES des revues (en SHS) : Psychologie-éthologie-ergonomie

Abstract : Airborne light detection and ranging (LiDAR) is fast turning the corner from demonstration technology to a key tool for assessing carbon stocks in tropical forests. With its ability to penetrate tropical forest canopies and detect three-dimensional forest structure, LiDAR may prove to be a major component of international strategies to measure and account for carbon emissions from and uptake by tropical forests. To date, however, basic ecological information such as height-diameter allometry and standlevel wood density have not been mechanistically incorporated into methods for mapping forest carbon at regional and global scales. A better incorporation of these structural patterns in forests may reduce the considerable time needed to calibrate airborne data with ground-based forest inventory plots, which presently necessitate exhaustive measurements of tree diameters and heights, as well as tree identifications for wood density estimation. Here, we develop a new approach that can facilitate rapid LiDAR calibration with minimal field data. Throughout four tropical regions (Panama, Peru, Madagascar, and Hawaii), we were able to predict aboveground carbon density estimated in field inventory plots using a single universal LiDAR model (r2 = 0.80, RMSE = 27.6 Mg C ha-1). This model is comparable in predictive power to locally calibrated models, but relies on limited inputs of basal area and wood density information for a given region, rather than on traditional plot inventories. With this approach, we propose to radically decrease the time required to calibrate airborne LiDAR data and thus increase the output of high-resolution carbon maps, supporting tropical forest conservation and climate mitigation policy. (Résumé d'auteur)

Mots-clés Agrovoc : Forêt tropicale humide, forêt tropicale, Carbone, Stockage, séquestration du carbone, émission atmosphérique, Mesure, Cartographie, Biomasse, Télédétection, Instrument de mesure, Zone tropicale, Modèle mathématique, Modèle de simulation, Méthodologie, Laser

Mots-clés géographiques Agrovoc : Madagascar, Pérou, Hawaï, Panama, Amazonie

Classification Agris : U10 - Mathematical and statistical methods
K01 - Forestry - General aspects
U40 - Surveying methods
F60 - Plant physiology and biochemistry

Champ stratégique Cirad : Axe 6 (2005-2013) - Agriculture, environnement, nature et sociétés

Auteurs et affiliations

  • Asner Gregory P., Carnegie Institution of Washington (USA)
  • Mascaro Joseph, Carnegie Institution of Washington (USA)
  • Muller-Landau Hélène C., Smithsonian Tropical Research Institute (PAN)
  • Vieilledent Ghislain, CIRAD-ES-UPR BSef (MDG) ORCID: 0000-0002-1685-4997
  • Vaudry Romuald, GoodPlanet Foundation (FRA)
  • Rasamoelina Maminiaina, WWF (MDG)
  • Hall Jefferson, Smithsonian Tropical Research Institute (PAN)
  • Van Breugel Michiel, Smithsonian Tropical Research Institute (PAN)

Autres liens de la publication

Source : Cirad - Agritrop (https://agritrop.cirad.fr/564993/)

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