Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017GL074150 |
Assimilating satellite-based canopy height within an ecosystem model to estimate aboveground forest biomass | |
Joetzjer, E.1,2,5; Pillet, M.1,3; Ciais, P.2; Barbier, N.4; Chave, J.5; Schlund, M.6; Maignan, F.2; Barichivich, J.7,8; Luyssaert, S.9; Herault, B.10; von Poncet, F.11; Poulter, B.1,12 | |
2017-07-16 | |
发表期刊 | GEOPHYSICAL RESEARCH LETTERS
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ISSN | 0094-8276 |
EISSN | 1944-8007 |
出版年 | 2017 |
卷号 | 44期号:13 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; France; Netherlands; Chile; Germany |
英文摘要 | 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. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000406257400042 |
WOS关键词 | GLOBAL VEGETATION MODEL ; TANDEM-X ; CARBON-DENSITY ; AIRBORNE LIDAR ; AMAZON FOREST ; LAND-USE ; EMISSIONS ; TREE ; DEFORESTATION ; BACKSCATTER |
WOS类目 | Geosciences, Multidisciplinary |
WOS研究方向 | Geology |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/27094 |
专题 | 气候变化 |
作者单位 | 1.Montana State Univ, Dept Ecol, Bozeman, MT 59717 USA; 2.LSCE IPSL CEA CNRS UVSQ, Lab Sci Climat & Environm, Gif Sur Yvette, France; 3.Univ Arizona, Dept Ecol & Evolut Biol, Tucson, AZ 85721 USA; 4.IRD UMR AMAP, Bot & Modeling Architecture Plants & Vegetat, Montpellier, France; 5.Lab Evolut & Diversite Biol, Toulouse, France; 6.European Space Agcy, European Space Res & Technol Ctr, Noordwijk, Netherlands; 7.Univ Austral Chile, Inst Conservac Biodiversided & Terr, Valdivia, Chile; 8.Ctr Climate & Resilience Res, Santiago, Chile; 9.VU, Dept Ecol Sci, Amsterdam, Netherlands; 10.CIRAD, UMR Ecol Foret Guyane, Kourou, France; 11.Airbus Def & Space, Immenstaad, Germany; 12.NASA, Goddard Space Flight Ctr, Biospher Sci Lab, Greenbelt, MD USA |
推荐引用方式 GB/T 7714 | Joetzjer, E.,Pillet, M.,Ciais, P.,et al. Assimilating satellite-based canopy height within an ecosystem model to estimate aboveground forest biomass[J]. GEOPHYSICAL RESEARCH LETTERS,2017,44(13). |
APA | Joetzjer, E..,Pillet, M..,Ciais, P..,Barbier, N..,Chave, J..,...&Poulter, B..(2017).Assimilating satellite-based canopy height within an ecosystem model to estimate aboveground forest biomass.GEOPHYSICAL RESEARCH LETTERS,44(13). |
MLA | Joetzjer, E.,et al."Assimilating satellite-based canopy height within an ecosystem model to estimate aboveground forest biomass".GEOPHYSICAL RESEARCH LETTERS 44.13(2017). |
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