Phenology of vegetation in Southern England from Envisat MERIS terrestrial chlorophyll index (MTCI) data

被引:42
作者
Boyd, Doreen S. [1 ]
Almond, Samuel [2 ]
Dash, Jadunandan [3 ]
Curran, Paul J. [4 ]
Hill, Ross A. [5 ]
机构
[1] Univ Nottingham, Sch Geog, Nottingham NG7 2RD, England
[2] Univ Leicester, GMES Space Technol Exchange Partnership G STEP, Leicester LE1 7RH, Leics, England
[3] Univ Southampton, Sch Geog, Southampton SO17 1BJ, Hants, England
[4] City Univ London, Off Vice Chancellor, London EC1V 0HB, England
[5] Bournemouth Univ, Sch Appl Sci, Poole BH12 5BB, Dorset, England
关键词
LAND-SURFACE PHENOLOGY; NDVI TIME-SERIES; GROSS PRIMARY PRODUCTION; SPRING PHENOLOGY; INTERANNUAL VARIABILITY; LEAF PHENOLOGY; CLIMATE-CHANGE; SCOTS PINE; SATELLITE; FOREST;
D O I
10.1080/01431161.2010.542194
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Given the close association between climate change and vegetation response, there is a pressing requirement to monitor the phenology of vegetation and understand further how its metrics vary over space and time. This article explores the use of the Envisat MERIS terrestrial chlorophyll index (MTCI) data set for monitoring vegetation phenology, via its estimates of chlorophyll content. The MTCI was used to construct the phenological profile of and extract key phenological event dates from woodland and grass/heath land in Southern England as these represented a range of chlorophyll contents and different phenological cycles. The period 2003-2008 was selected as this was known to be a period with temperature and phenological anomalies. Comparisons of the MTCI-derived phenology data were made with ground indicators and climatic proxy of phenology and with other vegetation indices: MERIS global vegetation index (MGVI), MODIS normalized difference vegetation index (NDVI) and MODIS enhanced vegetation index (EVI). Close correspondence between MTCI and canopy phenology as indicated by ground observations and climatic proxy was evident. Also observed was a difference between MTCI-derived phenological profile curves and key event dates (e. g. green-up, season length) and those derived from MERIS MGVI, MODIS NDVI and MODIS EVI. The research presented in this article supports the use of the Envisat MTCI for monitoring vegetation phenology, principally due to its sensitivity to canopy chlorophyll content, a vegetation property that is a useful proxy for the canopy physical and chemical alterations associated with phenological change.
引用
收藏
页码:8421 / 8447
页数:27
相关论文
共 123 条
[51]   The potential of the MERIS Terrestrial Chlorophyll Index for carbon flux estimation [J].
Harris, A. ;
Dash, J. .
REMOTE SENSING OF ENVIRONMENT, 2010, 114 (08) :1856-1862
[52]   AVHRR derived phenological change in the Sahel and Soudan, Africa, 1982-2005 [J].
Heumann, B. W. ;
Seaquist, J. W. ;
Eklundh, L. ;
Jonsson, P. .
REMOTE SENSING OF ENVIRONMENT, 2007, 108 (04) :385-392
[53]   Noise reduction of NDVI time series: An empirical comparison of selected techniques [J].
Hird, Jennifer N. ;
McDermid, Gregory J. .
REMOTE SENSING OF ENVIRONMENT, 2009, 113 (01) :248-258
[54]  
Hogg EH, 2000, TREE PHYSIOL, V20, P725
[56]   Flowering phenology in a species-rich temperate grassland is sensitive to warming but not elevated CO2 [J].
Hovenden, Mark J. ;
Wills, Karen E. ;
Schoor, Jacqueline K. Vander ;
Williams, Amity L. ;
Newton, Paul C. D. .
NEW PHYTOLOGIST, 2008, 178 (04) :815-822
[57]   Overview of the radiometric and biophysical performance of the MODIS vegetation indices [J].
Huete, A ;
Didan, K ;
Miura, T ;
Rodriguez, EP ;
Gao, X ;
Ferreira, LG .
REMOTE SENSING OF ENVIRONMENT, 2002, 83 (1-2) :195-213
[58]  
IPCC, 2007, 4 ASS REP SUMM POL
[59]   Beyond gradual warming: extreme weather events alter flower phenology of European grassland and heath species [J].
Jentsch, Anke ;
Kreyling, Juergen ;
Boettcher-Treschkow, Jegor ;
Beierkuhnlein, Carl .
GLOBAL CHANGE BIOLOGY, 2009, 15 (04) :837-849
[60]   Annual changes in MODIS vegetation indices of Swedish coniferous forests in relation to snow dynamics and tree phenology [J].
Jonsson, A. M. ;
Eklundh, L. ;
Hellstrom, M. ;
Barring, L. ;
Jonsson, P. .
REMOTE SENSING OF ENVIRONMENT, 2010, 114 (11) :2719-2730