DOI: 10.1016/j.jag.2012.11.006
Scopus记录号: 2-s2.0-84880318589
论文题名: Simulation of olive grove gross primary production by the combination of ground and multi-sensor satellite data
作者: Brilli L ; , Chiesi M ; , Maselli F ; , Moriondo M ; , Gioli B ; , Toscano P ; , Zaldei A ; , Bindi M
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2013
卷: 23, 期: 1 起始页码: 29
结束页码: 36
语种: 英语
英文关键词: C-Fix
; Eddy covariance
; MODIS
; NDVI GPP
; Olive
Scopus关键词: carbon flux
; eddy covariance
; MODIS
; NDVI
; primary production
; satellite data
; satellite imagery
; shrub
; terrestrial ecosystem
; tillage
; vegetation cover
英文摘要: We developed and tested a methodology to estimate olive (Olea europaea L.) gross primary production (GPP) combining ground and multi-sensor satellite data. An eddy-covariance station placed in an olive grove in central Italy provided carbon and water fluxes over two years (2010-2011), which were used as reference to evaluate the performance of a GPP estimation methodology based on a Monteith type model (modified C-Fix) and driven by meteorological and satellite (NDVI) data. A major issue was related to the consideration of the two main olive grove components, i.e. olive trees and inter-tree ground vegetation: this issue was addressed by the separate simulation of carbon fluxes within the two ecosystem layers, followed by their recombination. In this way the eddy covariance GPP measurements were successfully reproduced, with the exception of two periods that followed tillage operations. For these periods measured GPP could be approximated by considering synthetic NDVI values which simulated the expected response of inter-tree ground vegetation to tillages. © 2012 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79846
Appears in Collections: 气候变化事实与影响
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作者单位: University of Florence, DiPSA, Piazzale delle Cascine 18, 50144 Firenze, Italy; IBIMET-CNR, Via Madonna del Piano 10, 50019 Sesto Fiorentino (Fi), Italy
Recommended Citation:
Brilli L,, Chiesi M,, Maselli F,et al. Simulation of olive grove gross primary production by the combination of ground and multi-sensor satellite data[J]. International Journal of Applied Earth Observation and Geoinformation,2013-01-01,23(1)