Assimilating satellite-based canopy height within an ecosystem model to estimate aboveground forest biomass

Assimilating satellite-based canopy height within an ecosystem model to estimate aboveground forest biomass

Despite advances in Earth observation and modeling, estimating tropical biomass remains a challenge. Recent work suggests that integrating satellite measurements of canopy height within ecosystem models is a promising approach to infer biomass. We tested the feasibility of this approach to retrieve aboveground biomass (AGB) at three tropical forest sites by assimilating remotely sensed canopy height derived from a texture analysis algorithm applied to the high-resolution Pleiades imager in the Organizing Carbon and Hydrology in Dynamic Ecosystems Canopy (ORCHIDEE-CAN) ecosystem model. While mean AGB could be estimated within 10% of AGB derived from census data in average across sites, canopy height derived from Pleiades product was spatially too smooth, thus unable to accurately resolve large height (and biomass) variations within the site considered. The error budget was evaluated in details, and systematic errors related to the ORCHIDEE-CAN structure contribute as a secondary source of error and could be overcome by using improved allometric equations.

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Bibliographic Details
Main Authors: Joetzjer, E., Pillet, Michiel, Ciais, Philippe, Barbier, Nicolas, Chave, Jérôme, Schlund, M., Maignan, Fabienne, Barichivich, J., Luyssaert, Sebastiaan, Herault, Bruno, von Poncet, F., Poulter, Benjamin
Format: article biblioteca
Language:eng
Subjects:K01 - Foresterie - Considérations générales, U30 - Méthodes de recherche, P40 - Météorologie et climatologie, forêt, forêt tropicale, biomasse, télédétection, écosystème, déboisement, changement climatique, séquestration du carbone, émission atmosphérique, Houppier, biomasse aérienne des arbres, inventaire forestier continu, zone tropicale, http://aims.fao.org/aos/agrovoc/c_3062, http://aims.fao.org/aos/agrovoc/c_24904, http://aims.fao.org/aos/agrovoc/c_926, http://aims.fao.org/aos/agrovoc/c_6498, http://aims.fao.org/aos/agrovoc/c_2482, http://aims.fao.org/aos/agrovoc/c_15590, http://aims.fao.org/aos/agrovoc/c_1666, http://aims.fao.org/aos/agrovoc/c_331583, http://aims.fao.org/aos/agrovoc/c_330808, http://aims.fao.org/aos/agrovoc/c_16172, http://aims.fao.org/aos/agrovoc/c_1373987680230, http://aims.fao.org/aos/agrovoc/c_1374156575504, http://aims.fao.org/aos/agrovoc/c_7979,
Online Access:http://agritrop.cirad.fr/585595/
http://agritrop.cirad.fr/585595/1/Joetzjer_et_al-2017-Geophysical_Research_Letters.pdf
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Summary:Despite advances in Earth observation and modeling, estimating tropical biomass remains a challenge. Recent work suggests that integrating satellite measurements of canopy height within ecosystem models is a promising approach to infer biomass. We tested the feasibility of this approach to retrieve aboveground biomass (AGB) at three tropical forest sites by assimilating remotely sensed canopy height derived from a texture analysis algorithm applied to the high-resolution Pleiades imager in the Organizing Carbon and Hydrology in Dynamic Ecosystems Canopy (ORCHIDEE-CAN) ecosystem model. While mean AGB could be estimated within 10% of AGB derived from census data in average across sites, canopy height derived from Pleiades product was spatially too smooth, thus unable to accurately resolve large height (and biomass) variations within the site considered. The error budget was evaluated in details, and systematic errors related to the ORCHIDEE-CAN structure contribute as a secondary source of error and could be overcome by using improved allometric equations.

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