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Australian Phenology
Product Validation:
Phenocam Network
Natalia Restrepo-Coupe and Alfredo Huete
University Technology of Sydney
AusCover Sydney Phenology Node
Kevin Davies, Michael Liddell, Nicolas Weigand, Craig.Macfarlane, John
Byrne , Victor Resco de Dios, Matthias Boer, Chelsea Maier, Nicolas
Boulain, James Cleverly, Derek Eamus, Georgia Koerber, and Wayne S
Meyer
Introduction
 Phenology – definition and how it is characterized with the use of RS
products (VIs)
 AusCover at the UTS Sydney node:
  Phenology product: applications in conservation, aerobiology, LSM inputs
  Land Surface Temperature product
  Disturbance product
Objective: Validation Phenology Product
AusCover UTS Sydney node
 Validation of the phenology product
 Link between the in-situ measurement and the remote sensing community
(this is study is conducted in collaboration with Ozflux tower PIs).
 Site-specific support to the flux tower data collection (symbiosis)
 Contribute to the understanding of water and carbon flux seasonal cycles
(personal objective)
Objective: Validation Phenology Product
AusCover UTS Sydney node
Modified	
  from	
  Ma,	
  X.,	
  et	
  al.,	
  2013.	
  
Methods: Flux towers
Ma,	
  X.,	
  et	
  al.,	
  2013.	
  Spa7al	
  pa8erns	
  and	
  temporal	
  dynamics	
  in	
  savanna	
  vegeta7on	
  phenology	
  across	
  the	
  North	
  Australian	
  Tropical	
  
Transect.	
  Remote	
  Sens.	
  Environ.	
  139,	
  97–115.	
  doi:10.1016/j.rse.2013.07.030	
  
Methods: Phenocam Network
Phenological
Eyes
Network
Methods: Phenocams
 AusCover Good Practice Guidelines (A technical handbook supporting
calibration and validation activities of remotely sensed data products)
 Chapter 8. Phenology Validation
  Literature review
  Different methods
  Phenocams
  Our experience
  Our approach to instrument set-up, data collection and processing
Methods: Phenocams
 Phenocams :
•  RGB and spectral cameras
•  Orientation, angles, azimuths
•  Over- and understory
•  Diurnal, daily, and seasonal settings, including frequency of observations
(e.g. 30 minutes)
•  Camera settings, integration times, F-stop, etc.
•  Use of White/Gray references
•  Computation Red/Green (RGB) and NIR/Red ratios (spectral) with and
without use of reference
Our method is designed to support the following working hypothesis…
Working hypothesis
 Use of tower mounted phenocam imagery of whole-canopy and tree and
understory layer vegetation to trace and evaluate the satellite phenology
profile (e.g. both measures should provide a similar start of green-up and
peak at same time, etc.).
  Assessment of satellite phenology product accuracies in depicting the
timing of seasonal vegetation dynamics, phenophases, and other
transitional dates in time and space (cross-site).
  Phenocams have the potential to assess and partition seasonality of the
tree layer, grass layer, and whole-canopy.
  Whether the change in signal is attributed to more leaves, greener
leaves, younger-leaves, or some combination.
 Although, a mechanistic understanding of phenology drivers is not a direct
requirement of validation, it does enable up-scaling of point-based phenology
to landscapes.
ALICE SPRINGS
CHOWILLA
ZIG ZAG
GINGIN CUMBERLAND
PLAINS
CREDO
SE QUEENSLAND
SUPERSITE
Mean annual precipitation (mm/month)
Tropical Rainfall Measuring Mission (TRMM) data (NASA, 2013)
DISCOVERY CENTER
ROBSON CREEK
DAINTREE
Phenocam
Network
Methods: Budget
 We do not mind replication
 We adapt our protocol to the
site (Natalia open the protocol)
 http://data.auscover.org.au/
xwiki/bin/view/Teams/
GoodPracticeHanbook
Phenocam Network Objectives: Site specific
ALICE SPRINGS
CHOWILLA
ZIG ZAG
GINGIN CUMBERLAND
PLAINS
CREDO
SE QUEENSLAND
SUPERSITE
Special thanks to Dr. M Liddell and N. Weigand
DISCOVERY CENTER
ROBSON CREEK
DAINTREE
Phenocam Network Objectives: Site specific
ALICE SPRINGS
CHOWILLA
ZIG ZAG
GINGIN CUMBERLAND
PLAINS
CREDO
SE QUEENSLAND
SUPERSITE
Special thanks to Dr. V Resco de Dios, Matthias Boer and Chelsea Maier
Natalia open
document about
Cumberland
Phenocam Network Objectives: Site specific
ALICE SPRINGS
CHOWILLA
ZIG ZAG
GINGIN CUMBERLAND
PLAINS
CREDO
SE QUEENSLAND
SUPERSITE
Special thanks to Prof D. Chittleborough, Prof W. Meyer, Dr. G. Whiteman and T. Luckbe
Phenocam Network Objectives: Site specific
ALICE SPRINGS
CHOWILLA
ZIG ZAG
GINGIN CUMBERLAND
PLAINS
CREDO
SE QUEENSLAND
SUPERSITE
Special thanks to Dr. J. Cleverly, Dr. N Boulain, R Faux, Dr. N. Grant and Prof Derek Eamus
Alice Springs Mulga, NT
Wingscapes
Alice Springs Mulga, NT
Campbell Sci cameras
Phenocam Network:
Sensor Comparison
Phenocam
Network:
Camera
Calibration
Figure 1. Relationship between camera
incoming radiation (x-axis) and the raw output
signal (DN) for a Spectralon white panel in 6
bands: Red (centered at wavelengths of 655),
Green (555), NIR (857), Blue (460) and
wavebands 923 and 728. Camera settings: f-
stop 5.6, gain =1 and integration time = 15.
Digital number DN for non calibrated images. An
incident PAR a light meter (umol m-2 s-1) was
used to guide the experiment.
Phenocam
Network:
Linking RGB
indices to
physiological
response Red/Green
2
1.5
1
0.5
Wet Dry Mulga site biological
crust (>50%
Cyanobacteria) Green/
Red response after
wetting (1.57 mm).
-2 -1 0 1 2 3 4
Time (hours)
-2 -1 0 1 2 3 4
3
2.5
2
1.5
1
0.5
Red/Green
Riverbed/Red Gum
site biological crust
(>50% Moss) Green/
Red response after
wetting (1.57 mm).
Special thanks to J. Jamieson, Dr
N. Boulain, and Dr A. Leight
Wet
Calperum-Chowilla Flux Tower Site
25-Oct-2012 12:00:00 Red/Green
0
0.5
1
1.5
2
Rainfall(mm)
0
20
40
04/01 05/01 06/01 07/01 08/01 09/01 10/01
0.8
1.2
1.6
Red/Green
Grasses Shrubs Salt Bush Soil Biological Crust Soil
Understory camera
04/01 05/01 06/01 07/01 08/01 09/01 10/01 11/01
0.8
1.2
1.6
Red/GreenPhenocams
1
1.3
1.6
Red/GreenMODIS
04/01 05/01 06/01 07/01 08/01 09/01 10/01 11/01
0.95
1.1
1.25
Red/GreenPhenocams
1.2
1.4
1.6
Red/GreenMODIS
Calperum-Chowilla (CHO) RGB understory camera
MODIS reflectances (Bi-directional Reflectance Distribution Function, BRDF model MCD43A4)
Grasses Shrubs Salt Bush Soil Biological Crust Soil
MODIS All image (green) Mean Grass, Shrubs, Salt Bush
1.2 1.3 1.4 1.5 1.6
1.1
1.15
1.2
1.25
1.3
R/G
MODIS
=0.09195 R/G
cam
+1.06
p=0.0048 r2=0.24
R/GMODIS
R/Gcam
1.2 1.3 1.4 1.5 1.6
0.9
1
1.1
R/G
MODIS
=0.25 R/G
cam green
+0.704
p=0.0014 r2=0.3
R/GMODIS
R/Gcamgreen
04/01 05/01 06/01 07/01 08/01 09/01 10/01 11/01
0.8
0.925
1.05
Green/RedPhenocams
0.1
0.2
0.3
EVIMODIS
04/01 05/01 06/01 07/01 08/01 09/01 10/01 11/01
0.8
0.925
1.05
Green/RedPhenocams
0.2
0.4
0.6
NDVIMODIS
All image (green) Mean Grass, Shrubs, Salt Bush
MODIS
Calperum-Chowilla (CHO) RGB understory camera
MODIS vegetation indices (MOD13) 16-day product linearly resampled to 8-day
0.1 0.15 0.2 0.25 0.3
1.1
1.15
1.2
1.25
1.3
R/G
MODIS
=-0.3744 R/G
cam
+1.26
p=0.0011 r2=0.31
EVIMODIS
R/Gcam
0.1 0.15 0.2 0.25 0.3
0.9
1
1.1
R/G
MODIS
=-1.403 R/G
cam
+1.33
p=0.00062 r2=0.34
EVIMODIS
R/Gcamgreen
0.3 0.4 0.5 0.6
1.1
1.15
1.2
1.25
1.3
R/G
MODIS
=-0.0956 R/G
cam green
+1.23
p=0.019 r2=0.18
NDVIMODIS
R/Gcam
0.3 0.4 0.5 0.6
0.9
1
1.1
R/G
MODIS
=-0.272 R/G
cam green
+1.16
p=0.0099 r2=0.21
NDVIMODIS
R/Gcamgreen
Dropinactivity
Riseinactivity
Green/Red (instead of Red/Green)
0
0.5
1
1.5
Rainfall(mm)
0
20
04/01 07/01 10/01 01/01
1.1
1.2
1.3
Red/Green
--- WindowSE--- WindowW--- WindowS
Calperum-Chowilla Flux Tower Site
06-Mar-2013 10:00:00 Red/Green
0
0.5
1
1.5
2
ainfall(mm)
20
1.2
1.3
ed/Green
--- WindowSE--- WindowW--- WindowS
2012 2013
Tower nadir camera
01-Feb-2012 11:00:0001-Feb-2012 11:00:00
01-Feb-2012 11:00:00
Eucalyptus window
Window EWindow W
Window S
0.1 0.15 0.2 0.25 0.3
1.2
1.25
1.3
1.35
1.4
R/G
MODIS
=-0.4369 R/G
cam
+1.35
p=0.0016 r2=0.21
EVIMODIS
R/Gcam
0.3 0.4 0.5 0.6
1.2
1.25
1.3
1.35
1.4
R/G
MODIS
=-0.1372 R/G
cam green
+1.32
p=0.00042 r2=0.25
NDVIMODIS
R/Gcam
1.2 1.3 1.4 1.5 1.6
1.2
1.25
1.3
1.35
1.4
R/G
MODIS
=0.07184 R/G
cam
+1.17
p=0.01 r2=0.14
R/GMODIS
R/Gcam
F M A M J J A S O N D J F M
1.1
1.3
1.5
Red/GreenPhenocams
1.2
1.4
1.6
Red/GreenMODIS
F M A M J J A S O N D J F M
0.75
0.8
0.85
Green/RedPhenocams
0.1
0.2
0.3
EVIMODIS
F M A M J J A S O N D J F M
0.75
0.8
0.85
Green/RedPhenocams
0.2
0.4
0.6
NDVIMODIS
Window E
Window S
Window W
MODIS
Mean all windows
MODIS
Mean all windows
MODIS
0.1 0.15 0.2 0.25 0.3
1
1.05
1.1
1.15
1.2
R/G
MODIS
=-0.6335 R/G
cam
+1.21
p=1.5e-05 r2=0.36
EVIMODIS
R/Gcamgreen
0.3 0.4 0.5 0.6
1
1.05
1.1
1.15
1.2
R/G
MODIS
=-0.1914 R/G
cam green
+1.16
p=7.6e-06 r2=0.38
NDVIMODIS
R/Gcamgreen
0.1 0.15 0.2 0.25 0.3
1.2
1.25
1.3
1.35
1.4
R/G
MODIS
=-0.4369 R/G
cam
+1.35
p=0.0016 r2=0.21
EVIMODIS
R/Gcam
0.3 0.4 0.5 0.6
1.2
1.25
1.3
1.35
1.4
R/G
MODIS
=-0.1372 R/G
cam green
+1.32
p=0.00042 r2=0.25
NDVIMODIS
R/Gcam
F M A M J J A S O N D J F M
0.85
0.925
1
Green/RedPhenocams
0.1
0.2
0.3
EVIMODIS
F M A M J J A S O N D J F M
0.85
0.925
1
Green/RedPhenocams
0.2
0.4
0.6
NDVIMODIS
Green vegetation window
Red/Green
Eucalyptus window
MODIS
Green/Red (instead of Red/Green)
1.2 1.3 1.4 1.5 1.6
1.2
1.25
1.3
1.35
1.4
R/G
MODIS
=0.07184 R/G
cam
+1.17
p=0.01 r2=0.14
R/GMODIS
R/Gcam
1.2 1.3 1.4 1.5 1.6
1
1.05
1.1
1.15
1.2
R/G
MODIS
=0.1291 R/G
cam green
+0.903
p=1.6e-05 r2=0.36
R/GMODIS
R/Gcamgreen
F M A M J J A S O N D J F M
1.15
1.275
1.4
Red/GreenPhenocams
1.2
1.4
1.6
Red/GreenMODIS
F M A M J J A S O N D J F M
1.03
1.08
1.13
Red/GreenPhenocams
1.2
1.4
1.6
Red/GreenMODIS
Window E
Window S
Window W
MODIS
Eucalyptus
window
MODIS
GinGin Flux Tower Site
14-May-2012 16:33:00 Red/Green
0
0.5
1
1.5
2
Rainfall(mm)
0
10
20
06/01 07/01 08/01 09/01 10/01 11/01
0
0.5
1
Red/Green
--- Banskia01
--- Banskia02
--- Schrub
--- Litter
--- Soil
Tower nadir camera
0.9 0.95 1 1.05 1.1
0.7
0.8
0.9
1
R/G
MODIS
=0.9572 R/G
cam
+-0.0733
p=0.00091 r2=0.37
R/GMODIS
R/Gcam
0.9 0.95 1 1.05 1.1
0.4
0.5
0.6
0.7
0.8
R/G
MODIS
=2.32 R/G
cam green
+-1.64
p=0.0001 r2=0.47
R/GMODIS
R/Gcamgreen
All image
(green) Mean Banskia01, Banskia01, Shrubs
MODIS
Jun Jul Aug Sep Oct Nov
0
0.5
1Red/GreenPhenocams
0.8
0.95
1.1
Red/GreenMODIS
Jun Jul Aug Sep Oct Nov
0.4
0.7
1
Red/GreenPhenocams
0.9
1
1.1
Red/GreenMODIS
Green/Red (instead of Red/Green)
0.2 0.25 0.3
0.7
0.8
0.9
1
R/G
MODIS
=-3.54 R/G
cam
+1.78
p=5.9e-05 r2=0.5
EVIMODIS
R/Gcam
0.2 0.25 0.3
0.4
0.5
0.6
0.7
0.8
R/G
MODIS
=-6.757 R/G
cam
+2.37
p=2e-05 r2=0.54
EVIMODIS
R/Gcamgreen
0.4 0.5 0.6
0.7
0.8
0.9
1
R/G
MODIS
=-0.645 R/G
cam green
+1.24
p=1.3e-05 r2=0.55
NDVIMODIS
R/Gcam
0.4 0.5 0.6
0.4
0.5
0.6
0.7
0.8
R/G
MODIS
=-1.507 R/G
cam green
+1.51
p=1.6e-05 r2=0.55
NDVIMODIS
R/Gcamgreen
Jun Jul Aug Sep Oct Nov
1
1.6
2.2
Green/RedPhenocams
0.2
0.25
0.3
EVIMODIS
Jun Jul Aug Sep Oct Nov
1
1.6
2.2
Green/RedPhenocams
0.4
0.6
0.8
NDVIMODISAll image
(green) Mean Banskia01, Banskia01, Shrubs
MODIS
2012 2013
Understory camera
Low density
Alice Springs Mulga Flux Tower Site
15-Oct-2012 14:00:00 Red/Green
0
0.5
1
1.5
2
Rainfall(mm)
0
11
22
S N D J F M A M J J A S O
1
1.4
1.8
Red/Green
--- Grass01
--- Grass02 --- Acacia
--- Litter
--- Crust
0.1 0.12 0.14
1.3
1.35
1.4
1.45
R/G
MODIS
=102.8 R/G
cam
+-9.46
p=0.62 r2
=0.032
EVIMODIS
R/Gcam
0.1 0.12 0.14
1.3
1.4
1.5
R/G
MODIS
=191 R/G
cam
+-18.8
p=0.66 r2
=0.026
EVIMODIS
R/Gcamgreen
0.25 0.3 0.35
1.3
1.35
1.4
1.45
R/G
MODIS
=10.03 R/G
cam green
+-1.08
p=0.15 r2=0.24
NDVIMODIS
R/Gcam
0.25 0.3 0.35
1.3
1.4
1.5
R/G
MODIS
=13.89 R/G
cam green
+-2.05
p=0.068 r2=0.36
NDVIMODIS
R/Gcamgreen
S12 D12 F13 A13 J13 A13 O13
0.6
0.7
0.8
Green/RedPhenocams
0.1
0.11
0.12
EVIMODIS
S12 D12 F13 A13 J13 A13 O13
0.6
0.7
0.8
Green/RedPhenocams
0.2
0.25
0.3
NDVIMODISAll image
(green) Mean Acacia, Grass01, Grass02
MODIS
1.4 1.5 1.6 1.7
1.2
1.3
1.4
R/G
MODIS
=0.5382 R/G
cam
+0.444
p=0.42 r2=0.11
R/GMODIS
R/Gcam
1.4 1.5 1.6 1.7
1.2
1.3
1.4
1.5
1.6
R/G
MODIS
=0.6175 R/G
cam green
+0.254
p=0.35 r2=0.15
R/GMODIS
R/Gcamgreen
S12 D12 F13 A13 J13 A13 O13
1
1.3
1.6
Red/GreenPhenocams
0.8
1.3
1.8
Red/GreenMODIS
S12 D12 F13 A13 J13 A13 O13
1
1.4
1.8
Red/GreenPhenocams
1.6
1.7
1.8
Red/GreenMODIS
All image
(green) Mean Acacia, Grass01, Grass02
MODIS

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Restrepo Huete phenocams ACEAS 140311

  • 1. Australian Phenology Product Validation: Phenocam Network Natalia Restrepo-Coupe and Alfredo Huete University Technology of Sydney AusCover Sydney Phenology Node Kevin Davies, Michael Liddell, Nicolas Weigand, Craig.Macfarlane, John Byrne , Victor Resco de Dios, Matthias Boer, Chelsea Maier, Nicolas Boulain, James Cleverly, Derek Eamus, Georgia Koerber, and Wayne S Meyer
  • 2. Introduction  Phenology – definition and how it is characterized with the use of RS products (VIs)  AusCover at the UTS Sydney node:   Phenology product: applications in conservation, aerobiology, LSM inputs   Land Surface Temperature product   Disturbance product
  • 3. Objective: Validation Phenology Product AusCover UTS Sydney node  Validation of the phenology product  Link between the in-situ measurement and the remote sensing community (this is study is conducted in collaboration with Ozflux tower PIs).  Site-specific support to the flux tower data collection (symbiosis)  Contribute to the understanding of water and carbon flux seasonal cycles (personal objective)
  • 4. Objective: Validation Phenology Product AusCover UTS Sydney node Modified  from  Ma,  X.,  et  al.,  2013.  
  • 5. Methods: Flux towers Ma,  X.,  et  al.,  2013.  Spa7al  pa8erns  and  temporal  dynamics  in  savanna  vegeta7on  phenology  across  the  North  Australian  Tropical   Transect.  Remote  Sens.  Environ.  139,  97–115.  doi:10.1016/j.rse.2013.07.030  
  • 7. Methods: Phenocams  AusCover Good Practice Guidelines (A technical handbook supporting calibration and validation activities of remotely sensed data products)  Chapter 8. Phenology Validation   Literature review   Different methods   Phenocams   Our experience   Our approach to instrument set-up, data collection and processing
  • 8. Methods: Phenocams  Phenocams : •  RGB and spectral cameras •  Orientation, angles, azimuths •  Over- and understory •  Diurnal, daily, and seasonal settings, including frequency of observations (e.g. 30 minutes) •  Camera settings, integration times, F-stop, etc. •  Use of White/Gray references •  Computation Red/Green (RGB) and NIR/Red ratios (spectral) with and without use of reference Our method is designed to support the following working hypothesis…
  • 9. Working hypothesis  Use of tower mounted phenocam imagery of whole-canopy and tree and understory layer vegetation to trace and evaluate the satellite phenology profile (e.g. both measures should provide a similar start of green-up and peak at same time, etc.).   Assessment of satellite phenology product accuracies in depicting the timing of seasonal vegetation dynamics, phenophases, and other transitional dates in time and space (cross-site).   Phenocams have the potential to assess and partition seasonality of the tree layer, grass layer, and whole-canopy.   Whether the change in signal is attributed to more leaves, greener leaves, younger-leaves, or some combination.  Although, a mechanistic understanding of phenology drivers is not a direct requirement of validation, it does enable up-scaling of point-based phenology to landscapes.
  • 10. ALICE SPRINGS CHOWILLA ZIG ZAG GINGIN CUMBERLAND PLAINS CREDO SE QUEENSLAND SUPERSITE Mean annual precipitation (mm/month) Tropical Rainfall Measuring Mission (TRMM) data (NASA, 2013) DISCOVERY CENTER ROBSON CREEK DAINTREE Phenocam Network Methods: Budget  We do not mind replication  We adapt our protocol to the site (Natalia open the protocol)  http://data.auscover.org.au/ xwiki/bin/view/Teams/ GoodPracticeHanbook
  • 11. Phenocam Network Objectives: Site specific ALICE SPRINGS CHOWILLA ZIG ZAG GINGIN CUMBERLAND PLAINS CREDO SE QUEENSLAND SUPERSITE Special thanks to Dr. M Liddell and N. Weigand DISCOVERY CENTER ROBSON CREEK DAINTREE
  • 12. Phenocam Network Objectives: Site specific ALICE SPRINGS CHOWILLA ZIG ZAG GINGIN CUMBERLAND PLAINS CREDO SE QUEENSLAND SUPERSITE Special thanks to Dr. V Resco de Dios, Matthias Boer and Chelsea Maier Natalia open document about Cumberland
  • 13. Phenocam Network Objectives: Site specific ALICE SPRINGS CHOWILLA ZIG ZAG GINGIN CUMBERLAND PLAINS CREDO SE QUEENSLAND SUPERSITE Special thanks to Prof D. Chittleborough, Prof W. Meyer, Dr. G. Whiteman and T. Luckbe
  • 14. Phenocam Network Objectives: Site specific ALICE SPRINGS CHOWILLA ZIG ZAG GINGIN CUMBERLAND PLAINS CREDO SE QUEENSLAND SUPERSITE Special thanks to Dr. J. Cleverly, Dr. N Boulain, R Faux, Dr. N. Grant and Prof Derek Eamus
  • 15. Alice Springs Mulga, NT Wingscapes Alice Springs Mulga, NT Campbell Sci cameras Phenocam Network: Sensor Comparison
  • 16. Phenocam Network: Camera Calibration Figure 1. Relationship between camera incoming radiation (x-axis) and the raw output signal (DN) for a Spectralon white panel in 6 bands: Red (centered at wavelengths of 655), Green (555), NIR (857), Blue (460) and wavebands 923 and 728. Camera settings: f- stop 5.6, gain =1 and integration time = 15. Digital number DN for non calibrated images. An incident PAR a light meter (umol m-2 s-1) was used to guide the experiment.
  • 17. Phenocam Network: Linking RGB indices to physiological response Red/Green 2 1.5 1 0.5 Wet Dry Mulga site biological crust (>50% Cyanobacteria) Green/ Red response after wetting (1.57 mm). -2 -1 0 1 2 3 4 Time (hours) -2 -1 0 1 2 3 4 3 2.5 2 1.5 1 0.5 Red/Green Riverbed/Red Gum site biological crust (>50% Moss) Green/ Red response after wetting (1.57 mm). Special thanks to J. Jamieson, Dr N. Boulain, and Dr A. Leight Wet
  • 18. Calperum-Chowilla Flux Tower Site 25-Oct-2012 12:00:00 Red/Green 0 0.5 1 1.5 2 Rainfall(mm) 0 20 40 04/01 05/01 06/01 07/01 08/01 09/01 10/01 0.8 1.2 1.6 Red/Green Grasses Shrubs Salt Bush Soil Biological Crust Soil Understory camera
  • 19. 04/01 05/01 06/01 07/01 08/01 09/01 10/01 11/01 0.8 1.2 1.6 Red/GreenPhenocams 1 1.3 1.6 Red/GreenMODIS 04/01 05/01 06/01 07/01 08/01 09/01 10/01 11/01 0.95 1.1 1.25 Red/GreenPhenocams 1.2 1.4 1.6 Red/GreenMODIS Calperum-Chowilla (CHO) RGB understory camera MODIS reflectances (Bi-directional Reflectance Distribution Function, BRDF model MCD43A4) Grasses Shrubs Salt Bush Soil Biological Crust Soil MODIS All image (green) Mean Grass, Shrubs, Salt Bush 1.2 1.3 1.4 1.5 1.6 1.1 1.15 1.2 1.25 1.3 R/G MODIS =0.09195 R/G cam +1.06 p=0.0048 r2=0.24 R/GMODIS R/Gcam 1.2 1.3 1.4 1.5 1.6 0.9 1 1.1 R/G MODIS =0.25 R/G cam green +0.704 p=0.0014 r2=0.3 R/GMODIS R/Gcamgreen
  • 20. 04/01 05/01 06/01 07/01 08/01 09/01 10/01 11/01 0.8 0.925 1.05 Green/RedPhenocams 0.1 0.2 0.3 EVIMODIS 04/01 05/01 06/01 07/01 08/01 09/01 10/01 11/01 0.8 0.925 1.05 Green/RedPhenocams 0.2 0.4 0.6 NDVIMODIS All image (green) Mean Grass, Shrubs, Salt Bush MODIS Calperum-Chowilla (CHO) RGB understory camera MODIS vegetation indices (MOD13) 16-day product linearly resampled to 8-day 0.1 0.15 0.2 0.25 0.3 1.1 1.15 1.2 1.25 1.3 R/G MODIS =-0.3744 R/G cam +1.26 p=0.0011 r2=0.31 EVIMODIS R/Gcam 0.1 0.15 0.2 0.25 0.3 0.9 1 1.1 R/G MODIS =-1.403 R/G cam +1.33 p=0.00062 r2=0.34 EVIMODIS R/Gcamgreen 0.3 0.4 0.5 0.6 1.1 1.15 1.2 1.25 1.3 R/G MODIS =-0.0956 R/G cam green +1.23 p=0.019 r2=0.18 NDVIMODIS R/Gcam 0.3 0.4 0.5 0.6 0.9 1 1.1 R/G MODIS =-0.272 R/G cam green +1.16 p=0.0099 r2=0.21 NDVIMODIS R/Gcamgreen Dropinactivity Riseinactivity Green/Red (instead of Red/Green)
  • 21. 0 0.5 1 1.5 Rainfall(mm) 0 20 04/01 07/01 10/01 01/01 1.1 1.2 1.3 Red/Green --- WindowSE--- WindowW--- WindowS Calperum-Chowilla Flux Tower Site 06-Mar-2013 10:00:00 Red/Green 0 0.5 1 1.5 2 ainfall(mm) 20 1.2 1.3 ed/Green --- WindowSE--- WindowW--- WindowS 2012 2013 Tower nadir camera
  • 22. 01-Feb-2012 11:00:0001-Feb-2012 11:00:00 01-Feb-2012 11:00:00 Eucalyptus window Window EWindow W Window S
  • 23. 0.1 0.15 0.2 0.25 0.3 1.2 1.25 1.3 1.35 1.4 R/G MODIS =-0.4369 R/G cam +1.35 p=0.0016 r2=0.21 EVIMODIS R/Gcam 0.3 0.4 0.5 0.6 1.2 1.25 1.3 1.35 1.4 R/G MODIS =-0.1372 R/G cam green +1.32 p=0.00042 r2=0.25 NDVIMODIS R/Gcam 1.2 1.3 1.4 1.5 1.6 1.2 1.25 1.3 1.35 1.4 R/G MODIS =0.07184 R/G cam +1.17 p=0.01 r2=0.14 R/GMODIS R/Gcam F M A M J J A S O N D J F M 1.1 1.3 1.5 Red/GreenPhenocams 1.2 1.4 1.6 Red/GreenMODIS F M A M J J A S O N D J F M 0.75 0.8 0.85 Green/RedPhenocams 0.1 0.2 0.3 EVIMODIS F M A M J J A S O N D J F M 0.75 0.8 0.85 Green/RedPhenocams 0.2 0.4 0.6 NDVIMODIS Window E Window S Window W MODIS Mean all windows MODIS Mean all windows MODIS
  • 24. 0.1 0.15 0.2 0.25 0.3 1 1.05 1.1 1.15 1.2 R/G MODIS =-0.6335 R/G cam +1.21 p=1.5e-05 r2=0.36 EVIMODIS R/Gcamgreen 0.3 0.4 0.5 0.6 1 1.05 1.1 1.15 1.2 R/G MODIS =-0.1914 R/G cam green +1.16 p=7.6e-06 r2=0.38 NDVIMODIS R/Gcamgreen 0.1 0.15 0.2 0.25 0.3 1.2 1.25 1.3 1.35 1.4 R/G MODIS =-0.4369 R/G cam +1.35 p=0.0016 r2=0.21 EVIMODIS R/Gcam 0.3 0.4 0.5 0.6 1.2 1.25 1.3 1.35 1.4 R/G MODIS =-0.1372 R/G cam green +1.32 p=0.00042 r2=0.25 NDVIMODIS R/Gcam F M A M J J A S O N D J F M 0.85 0.925 1 Green/RedPhenocams 0.1 0.2 0.3 EVIMODIS F M A M J J A S O N D J F M 0.85 0.925 1 Green/RedPhenocams 0.2 0.4 0.6 NDVIMODIS Green vegetation window Red/Green Eucalyptus window MODIS Green/Red (instead of Red/Green)
  • 25. 1.2 1.3 1.4 1.5 1.6 1.2 1.25 1.3 1.35 1.4 R/G MODIS =0.07184 R/G cam +1.17 p=0.01 r2=0.14 R/GMODIS R/Gcam 1.2 1.3 1.4 1.5 1.6 1 1.05 1.1 1.15 1.2 R/G MODIS =0.1291 R/G cam green +0.903 p=1.6e-05 r2=0.36 R/GMODIS R/Gcamgreen F M A M J J A S O N D J F M 1.15 1.275 1.4 Red/GreenPhenocams 1.2 1.4 1.6 Red/GreenMODIS F M A M J J A S O N D J F M 1.03 1.08 1.13 Red/GreenPhenocams 1.2 1.4 1.6 Red/GreenMODIS Window E Window S Window W MODIS Eucalyptus window MODIS
  • 26. GinGin Flux Tower Site 14-May-2012 16:33:00 Red/Green 0 0.5 1 1.5 2 Rainfall(mm) 0 10 20 06/01 07/01 08/01 09/01 10/01 11/01 0 0.5 1 Red/Green --- Banskia01 --- Banskia02 --- Schrub --- Litter --- Soil Tower nadir camera
  • 27. 0.9 0.95 1 1.05 1.1 0.7 0.8 0.9 1 R/G MODIS =0.9572 R/G cam +-0.0733 p=0.00091 r2=0.37 R/GMODIS R/Gcam 0.9 0.95 1 1.05 1.1 0.4 0.5 0.6 0.7 0.8 R/G MODIS =2.32 R/G cam green +-1.64 p=0.0001 r2=0.47 R/GMODIS R/Gcamgreen All image (green) Mean Banskia01, Banskia01, Shrubs MODIS Jun Jul Aug Sep Oct Nov 0 0.5 1Red/GreenPhenocams 0.8 0.95 1.1 Red/GreenMODIS Jun Jul Aug Sep Oct Nov 0.4 0.7 1 Red/GreenPhenocams 0.9 1 1.1 Red/GreenMODIS
  • 28. Green/Red (instead of Red/Green) 0.2 0.25 0.3 0.7 0.8 0.9 1 R/G MODIS =-3.54 R/G cam +1.78 p=5.9e-05 r2=0.5 EVIMODIS R/Gcam 0.2 0.25 0.3 0.4 0.5 0.6 0.7 0.8 R/G MODIS =-6.757 R/G cam +2.37 p=2e-05 r2=0.54 EVIMODIS R/Gcamgreen 0.4 0.5 0.6 0.7 0.8 0.9 1 R/G MODIS =-0.645 R/G cam green +1.24 p=1.3e-05 r2=0.55 NDVIMODIS R/Gcam 0.4 0.5 0.6 0.4 0.5 0.6 0.7 0.8 R/G MODIS =-1.507 R/G cam green +1.51 p=1.6e-05 r2=0.55 NDVIMODIS R/Gcamgreen Jun Jul Aug Sep Oct Nov 1 1.6 2.2 Green/RedPhenocams 0.2 0.25 0.3 EVIMODIS Jun Jul Aug Sep Oct Nov 1 1.6 2.2 Green/RedPhenocams 0.4 0.6 0.8 NDVIMODISAll image (green) Mean Banskia01, Banskia01, Shrubs MODIS
  • 29. 2012 2013 Understory camera Low density Alice Springs Mulga Flux Tower Site 15-Oct-2012 14:00:00 Red/Green 0 0.5 1 1.5 2 Rainfall(mm) 0 11 22 S N D J F M A M J J A S O 1 1.4 1.8 Red/Green --- Grass01 --- Grass02 --- Acacia --- Litter --- Crust
  • 30. 0.1 0.12 0.14 1.3 1.35 1.4 1.45 R/G MODIS =102.8 R/G cam +-9.46 p=0.62 r2 =0.032 EVIMODIS R/Gcam 0.1 0.12 0.14 1.3 1.4 1.5 R/G MODIS =191 R/G cam +-18.8 p=0.66 r2 =0.026 EVIMODIS R/Gcamgreen 0.25 0.3 0.35 1.3 1.35 1.4 1.45 R/G MODIS =10.03 R/G cam green +-1.08 p=0.15 r2=0.24 NDVIMODIS R/Gcam 0.25 0.3 0.35 1.3 1.4 1.5 R/G MODIS =13.89 R/G cam green +-2.05 p=0.068 r2=0.36 NDVIMODIS R/Gcamgreen S12 D12 F13 A13 J13 A13 O13 0.6 0.7 0.8 Green/RedPhenocams 0.1 0.11 0.12 EVIMODIS S12 D12 F13 A13 J13 A13 O13 0.6 0.7 0.8 Green/RedPhenocams 0.2 0.25 0.3 NDVIMODISAll image (green) Mean Acacia, Grass01, Grass02 MODIS
  • 31. 1.4 1.5 1.6 1.7 1.2 1.3 1.4 R/G MODIS =0.5382 R/G cam +0.444 p=0.42 r2=0.11 R/GMODIS R/Gcam 1.4 1.5 1.6 1.7 1.2 1.3 1.4 1.5 1.6 R/G MODIS =0.6175 R/G cam green +0.254 p=0.35 r2=0.15 R/GMODIS R/Gcamgreen S12 D12 F13 A13 J13 A13 O13 1 1.3 1.6 Red/GreenPhenocams 0.8 1.3 1.8 Red/GreenMODIS S12 D12 F13 A13 J13 A13 O13 1 1.4 1.8 Red/GreenPhenocams 1.6 1.7 1.8 Red/GreenMODIS All image (green) Mean Acacia, Grass01, Grass02 MODIS