DOI: 10.1016/j.jag.2013.03.006
Scopus记录号: 2-s2.0-84888267388
论文题名: Developing a gross primary production model for coniferous forests of northeastern USA from MODIS data
作者: Jahan N ; , Gan T ; Y
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2013
卷: 25, 期: 1 起始页码: 11
结束页码: 20
语种: 英语
英文关键词: Coniferous forest
; Enhanced vegetation index
; Global vegetation moisture index
; Gross primary production
; Land surface temperature
; MODIS
; NIR albedo
Scopus关键词: albedo
; algorithm
; carbon flux
; coniferous forest
; land surface
; MODIS
; primary production
; remote sensing
; surface temperature
; vegetation index
; United States
; Pinus taeda
英文摘要: Accurate estimation of ecosystem carbon fluxes is crucial for understanding the feedbacks between the terrestrial biosphere and the atmosphere and for making climate-policy decisions. A statistical model is developed to estimate the gross primary production (GPP) of coniferous forests of northeastern USA using remotely sensed (RS) radiation (land surface temperature and near-infra red albedo) and ecosystem variables (enhanced vegetation index and global vegetation moisture index) acquired by the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor. This GPP model (called R-GPP-Coni), based only on remotely sensed data, was first calibrated with GPP estimates derived from the eddy covariance flux tower of the Howland forest main tower site and then successfully transferred and validated at three other coniferous sites: the Howland forest west tower site, Duke pine forest and North Carolina loblolly pine site, which demonstrate its transferability to other coniferous ecoregions of northeastern USA. The proposed model captured the seasonal dynamics of the observed 8-day GPP successfully by explaining 84-94% of the observed variations with a root mean squared error (RMSE) ranging from 1.10 to 1.64 g C/m2/day over the 4 study sites and outperformed the primary RS-based GPP algorithm of MODIS. © 2013 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79818
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB T6G 2W2, Canada
Recommended Citation:
Jahan N,, Gan T,Y. Developing a gross primary production model for coniferous forests of northeastern USA from MODIS data[J]. International Journal of Applied Earth Observation and Geoinformation,2013-01-01,25(1)