GSTDTAP  > 气候变化
DOI10.1002/2017GL074150
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
ISSN0094-8276
EISSN1944-8007
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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