Full text: Technical Commission VIII (B8)

    
   
    
   
  
   
  
   
    
  
  
   
  
  
  
  
   
     
  
  
  
  
  
  
  
  
  
  
  
   
     
   
   
   
  
  
  
  
  
   
     
   
   
  
   
   
   
   
   
  
  
   
  
    
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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B8, 2012 
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia 
a 
  
300 
_ LOS «279.4381 - 1.6362 x Latitude 
| RÉ-0.1402 
280 - A 
   
260 - 
9. i 
8240 - 
a i 
220 - 
200 - 
  
"atitude (dj 2 2 
b 
LIG = 279.6161 — 9.4874 x Latitude 
160 - R* - 0.9713 
  
= 140 — 
= 120 - 
o 
  
  
ge " ‘Éatitude edi m 2 
Figure 7: Latitudinal gradients of vegetation phenol- 
ogy along the transect (a) LOS; (b) LIG. The equations 
show the phenological metrics as a function of latitude. 
The vertical lines are the temporal standard deviations 
of these latitudinal gradients. 
  
  
T T 
12 14 
Y Y 
1 18 
Latitude 
Figure 8: Spatial distributions and interannual variation 
of MinG breakpoints. Small points are interannual vari- 
ations of annual minimum EVI along the latitude, large 
points are interannual variations of breakpoints. The 
north and south boundaries of these breakpoints are in- 
dicated by two vertical lines. The numbers give the ac- 
tual latitudes of north and south boundary. 
From an evolutionary point of view, the vegetation phe- 
nology is the result of biological adaption to historical 
climate. However, it is hard to study the variations of 
vegetation phenology in the time dimension over a short 
period. The assumption of using sub-continental scale 
transects to study global change problems is that the spa- 
tial variation can be used as a surrogate of the temporal 
variations (Koch et al., 1995). So that even if it is dif- 
ficult to predict vegetation phenology in future, we do 
have the possibilities to derive the vegetation phenology 
under different climate change scenarios through the in- 
vestigation in the spatial dimensions, which is more fea- 
sible (Cook and Heerdegen, 2001). 
The southward decreasing trends of vegetation produc- 
tivity (annual integral EVI) can be attributed to both in- 
ternal and external factors. Internally, tree species rich- 
ness are decreasing southward along NATT (Williams 
et al., 1996). Previous studies suggested that decreasing 
of woody richness always associates with decreasing of 
vegetation productivity (Waring et al., 2006, MacArthur, 
1969). Externally, environmental factors , including pre- 
cipitation and soil water content, also have significant 
north-south decreasing trend in this area (Williams et 
al., 1996). 
In the temporal scale, large interannual variations of veg- 
etation phenology may suggest that the environmental 
factors, which control vegetation growth, should have 
corresponding interannual variations in this area. In the 
NATT, both precipitation amount and precipitation pat- 
tern have significant interannual variations (Cook and 
Heerdegen, 2001). 
In this study we used annual minimum EVI, which is 
considered as an indicator of evergreen component, to 
investigate the spatial distribution of a biogeographical 
boundary in the NATT area. However, in addition to 
annual minimum EVI, we still have seven other pheno- 
logical metrics available. This study suggested the po- 
tential to define the biogeographical boundary from a 
vegetation phenology perspective. Future research will 
attempt to identify this boundary using other phenolog- 
ical metrics. 
In conclusion, this study characterized eight vegetation 
phenological metrics for a sub-continental tropical tran- 
sect spanning the past 11 years. Our results showed that 
these metrics had significant spatial patterns as well as 
considerable interannual variations. However, the en- 
vironmental control on these phenological patterns re- 
mains unclear, which requiring further investigations with 
the collaboration efforts from both remote sensing and 
climatological perspectives. 
ACKNOWLEDGEMENTS 
This research was partially support by ARC-(DP1115479) 
grant entitled “Integrating remote sensing, landscape flux 
measurements, and phenology to understand the impacts 
of climate change on Australian landscapes" (Huete, CI). 
The first author appreciates the financial support from 
Chinese Scholarship Council, which enables the first au- 
thor to study abroad and focus on his research. 
REFERENCES 
Beurs, K. M. D. and Henebry, G. M., 2010. Spatio- 
Temporal Statisticall Methods for Modelling Land Sur- 
face Phenology. Springer Netherlands, Dordrecht. 
Bowman, D., 1996. Diversity Patterns of Woody 
Species on a Latitudinal Transect From the Monsoon 
Tropics to Desert in the Northern Territory, Australia. 
Australian Journal of Botany 44(5), pp. 571—580. 
Bowman, D. M. J. S. and Connors, G. T., 1996. Does 
low temperature cause the dominance of Acacia on the 
central Australian mountains? Evidence from a latitu- 
dinal gradient from 110 to 260 South in the Northern 
Territory, Australia. Journal of Biogeography 23(2), 
pp. 245-256. 
Brown, M. E. and de Beurs, K. M., 2008. Evaluation 
of multi-sensor semi-arid crop season parameters based 
on NDVI and rainfall. Remote Sensing of Environment 
112(5), pp. 2261-2271.
	        
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