Representing vegetation response in water and carbon models - using phenocams to scale from plant to satellite pixel to model grid cell

1. Representing vegetation response in
water and carbon models
using phenocams to scale from plant to
satellite pixel to model grid cell
Albert van Dijk, Australian National University

2. Figure 2. Planet
10-4 m
107 m

3. http://www.bom.gov.au/water/
Australian Water Resources Assessment (AWRA) model

4. http://www-personal.umich.edu/~ivanov/HYDROWIT/Models.html
Carbon cycle model

5. http://www.cgd.ucar.edu/tss/clm/pfts/igbp.gif

6. Richardson et al. (201) Global Change Biology 18, 566-584
Comparison of site estimated and biosphere model LAI

8. Guerschman et al. (in prep.)

9. Guerschman et al. (in prep.)

10. http://svs.gsfc.nasa.gov/vis/a000000/a003800/a003871/

14. Comparison between vegetation cover fraction from AWRA and from MODIS
fractional cover product (Guerschman et al)

15. Performance test
Guerschman et al. (in prep.)
Table 1: Pearson correlation coefficients (r) between observed and modelled mean
monthly evapotranspiration
site n %Forest Default LAI EVI Alb LAI+EVI+Alb
HoSp 56 0.731 0.800 0.794 0.738 0.830
Kyem 12 0.951 0.905 0.973 0.983 0.946
Tumb 93 0.802 0.858 0.810 0.798 0.850
ViPa 20 0.974 0.971 0.979 0.971 0.969
Wall 16 0.942 0.929 0.945 0.940 0.929

16. Model simulates
seasonal vegetation
dynamics
Model forced with
LAI, EVI and albedo
climatology
Weighting based on
RMSE with MODIS EVI
time series
Best estimate ET and
GPP
AWRA-LC carbon (GPP/NPP) product
version 0.5, data assimilation / blending
Van Dijk, 2009

17. AWRA-LC v0.5
GPP (gC m-2 mo-1)
Has been compared to GPP and NEE data from flux towers and other data cf.
Roxburgh et al. (2007) (Van Dijk, 2009; Haverd, unpublished)
Carbon exchange estimates

19. Andela et al. (2013) Biogeosciences 10, 6657-6676
biomass
cover

20. Vegetation remote sensing:
• Fuel and habitat structure
• Canopy moisture content
• Leaf area
• Living & dry biomass cover
Data acquisition:
• LIDAR
• Hyper-spectral
• Ground-base measurements

23. ANU Phenomic & Environmental Sensor Array
• 5 meteorological stations
• triangulated time lapse cameras (1cm/pixel)
• 30 wireless microclimate sensors (air temp &
hum, light intensity, 2 x soil temp & moisture)
• 20 tree diameter sensors

26. Figure 2. Planet
10-4 m
107 m
Figure 3. Phenocam

27. www.ozewex.org

31. Biodiversity:
finding groundwater dependent ecosystems