DOI: 10.1002/2015GL063586
论文题名: Intercomparison of satellite sensor land surface phenology and ground phenology in Europe
作者: Rodriguez-Galiano V.F. ; Dash J. ; Atkinson P.M.
刊名: Geophysical Research Letters
ISSN: 0094-8797
EISSN: 1944-8528
出版年: 2015
卷: 42, 期: 7 起始页码: 2253
结束页码: 2260
语种: 英语
英文关键词: Europe
; ground phenology
; land surface phenology
; MERIS
; MTCI
; nonparametric modeling
Scopus关键词: Climate change
; Image reconstruction
; Mean square error
; Surface measurement
; Time series
; Europe
; Ground phenology
; Land surface phenology
; MERIS
; MTCI
; Non-parametric model
; Biology
; accuracy assessment
; annual variation
; correlation
; deciduous tree
; land surface
; phenology
; satellite imagery
; seasonal variation
; sensor
; spatiotemporal analysis
; statistical analysis
; terrestrial ecosystem
; time series
; Europe
; Betula pendula
; Fagus sylvatica
英文摘要: Land surface phenology (LSP) and ground phenology (GP) are both important sources of information for monitoring terrestrial ecosystem responses to climate changes. Each measures different vegetation phenological stages and has different sources of uncertainties, which make comparison in absolute terms challenging, and therefore, there has been limited attempts to evaluate the complementary nature of both measures. However, both LSP and GP are climate driven and therefore should exhibit similar interannual variation. LSP obtained from the whole time series of Medium-Resolution Imaging Spectrometer data was compared to thousands of deciduous tree ground phenology records of the Pan European Phenology network (PEP725). Correlations observed between the interannual time series of the satellite sensor estimates of phenology and PEP725 records revealed a close agreement (especially for Betula Pendula and Fagus Sylvatica species). In particular, 90% of the statistically significant correlations between LSP and GP were positive (mean R2 = 0.77). A large spatiotemporal correlation was observed between the dates of the start of season (end of season) from space and leaf unfolding (autumn coloring) at the ground (pseudo R2 of 0.70 (0.71)) through the application of nonlinear multivariate models, providing, for the first time, the ability to predict accurately the date of leaf unfolding (autumn coloring) across Europe (root-mean-square error of 5.97 days (6.75 days) over 365 days). ©2015. American Geophysical Union. All Rights Reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84928704129&doi=10.1002%2f2015GL063586&partnerID=40&md5=d72f8cf282f7c1ca1d78e178029490e7
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/8413
Appears in Collections: 科学计划与规划 气候变化与战略
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作者单位: Geography and Environment, University of Southampton, Southampton, United Kingdom
Recommended Citation:
Rodriguez-Galiano V.F.,Dash J.,Atkinson P.M.. Intercomparison of satellite sensor land surface phenology and ground phenology in Europe[J]. Geophysical Research Letters,2015-01-01,42(7).