restrepo huete phenocams aceas 140311
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Australian Phenology Product Validation: Phenocam NetworkTRANSCRIPT
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 CUMBERLANDPLAINS
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 CUMBERLANDPLAINS
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 CUMBERLANDPLAINS
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 CUMBERLANDPLAINS
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 CUMBERLANDPLAINS
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
/Gre
en
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
/Gre
en
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
Rai
nfal
l(mm
)
0
20
40
04/01 05/01 06/01 07/01 08/01 09/01 10/010.8
1.2
1.6
Red
/Gre
en
Grasses Shrubs Salt Bush Soil Biological Crust Soil
Understory camera
04/01 05/01 06/01 07/01 08/01 09/01 10/01 11/010.8
1.2
1.6R
ed/G
reen
Phe
noca
ms
1
1.3
1.6
Red
/Gre
en M
OD
IS
04/01 05/01 06/01 07/01 08/01 09/01 10/01 11/010.95
1.1
1.25
Red
/Gre
en P
heno
cam
s
1.2
1.4
1.6
Red
/Gre
en M
OD
IS
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 1.61.1
1.15
1.2
1.25
1.3
R/GMODIS
=0.09195 R/Gcam
+1.06p=0.0048 r2=0.24
R/GMODIS
R/G
cam
1.2 1.3 1.4 1.5 1.60.9
1
1.1R/G
MODIS=0.25 R/G
cam green+0.704
p=0.0014 r2=0.3
R/GMODIS
R/G
cam
gre
en
04/01 05/01 06/01 07/01 08/01 09/01 10/01 11/010.8
0.925
1.05
Gre
en/R
ed P
heno
cam
s
0.1
0.2
0.3
EVI M
OD
IS04/01 05/01 06/01 07/01 08/01 09/01 10/01 11/01
0.8
0.925
1.05
Gre
en/R
ed P
heno
cam
s
0.2
0.4
0.6
ND
VI M
OD
ISAll 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 0.31.1
1.15
1.2
1.25
1.3
R/GMODIS
=-0.3744 R/Gcam
+1.26p=0.0011 r2=0.31
EVIMODIS
R/G
cam
0.1 0.15 0.2 0.25 0.30.9
1
1.1R/G
MODIS=-1.403 R/G
cam+1.33
p=0.00062 r2=0.34
EVIMODIS
R/G
cam
gre
en
0.3 0.4 0.5 0.61.1
1.15
1.2
1.25
1.3
R/GMODIS
=-0.0956 R/Gcam green
+1.23p=0.019 r2=0.18
NDVIMODIS
R/G
cam
0.3 0.4 0.5 0.60.9
1
1.1R/G
MODIS=-0.272 R/G
cam green+1.16
p=0.0099 r2=0.21
NDVIMODIS
R/G
cam
gre
en
Dro
p in
act
ivity
Ris
e in
act
ivity
Green/Red (instead of Red/Green)
Calperum-Chowilla Flux Tower Site 06-Mar-2013 10:00:00 Red/Green
0
0.5
1
1.5
2
Rai
nfal
l(mm
)
0
20
04/01 07/01 10/01 01/011.1
1.2
1.3
Red
/Gre
en--- WindowSE--- WindowW--- WindowS
Calperum-Chowilla Flux Tower Site 06-Mar-2013 10:00:00 Red/Green
0
0.5
1
1.5
2
Rai
nfal
l(mm
)
0
20
04/01 07/01 10/01 01/011.1
1.2
1.3
Red
/Gre
en
--- 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 E Window W
Window S
0.1 0.15 0.2 0.25 0.31.2
1.25
1.3
1.35
1.4
R/GMODIS
=-0.4369 R/Gcam
+1.35p=0.0016 r2=0.21
EVIMODIS
R/G
cam
0.3 0.4 0.5 0.61.2
1.25
1.3
1.35
1.4
R/GMODIS
=-0.1372 R/Gcam green
+1.32p=0.00042 r2=0.25
NDVIMODIS
R/G
cam
1.2 1.3 1.4 1.5 1.61.2
1.25
1.3
1.35
1.4
R/GMODIS
=0.07184 R/Gcam
+1.17p=0.01 r2=0.14
R/GMODIS
R/G
cam
F M A M J J A S O N D J F M1.1
1.3
1.5
Red
/Gre
en P
heno
cam
s
1.2
1.4
1.6
Red
/Gre
en M
OD
IS
F M A M J J A S O N D J F M0.75
0.8
0.85
Gre
en/R
ed P
heno
cam
s
0.1
0.2
0.3
EVI M
OD
IS
F M A M J J A S O N D J F M0.75
0.8
0.85
Gre
en/R
ed P
heno
cam
s
0.2
0.4
0.6
ND
VI M
OD
IS
Window E Window S Window W MODIS
Mean all windows MODIS
Mean all windows MODIS
0.1 0.15 0.2 0.25 0.31
1.05
1.1
1.15
1.2
R/GMODIS
=-0.6335 R/Gcam
+1.21p=1.5e-05 r2=0.36
EVIMODIS
R/G
cam
gre
en
0.3 0.4 0.5 0.61
1.05
1.1
1.15
1.2
R/GMODIS
=-0.1914 R/Gcam green
+1.16p=7.6e-06 r2=0.38
NDVIMODIS
R/G
cam
gre
en
0.1 0.15 0.2 0.25 0.31.2
1.25
1.3
1.35
1.4
R/GMODIS
=-0.4369 R/Gcam
+1.35p=0.0016 r2=0.21
EVIMODIS
R/G
cam
0.3 0.4 0.5 0.61.2
1.25
1.3
1.35
1.4
R/GMODIS
=-0.1372 R/Gcam green
+1.32p=0.00042 r2=0.25
NDVIMODIS
R/G
cam
F M A M J J A S O N D J F M0.85
0.925
1
Gre
en/R
ed P
heno
cam
s
0.1
0.2
0.3
EVI M
OD
IS
F M A M J J A S O N D J F M0.85
0.925
1
Gre
en/R
ed P
heno
cam
s
0.2
0.4
0.6
ND
VI M
OD
IS
Green vegetation window Red/Green
Eucalyptus window MODIS
Green/Red (instead of Red/Green)
1.2 1.3 1.4 1.5 1.61.2
1.25
1.3
1.35
1.4
R/GMODIS
=0.07184 R/Gcam
+1.17p=0.01 r2=0.14
R/GMODIS
R/G
cam
1.2 1.3 1.4 1.5 1.61
1.05
1.1
1.15
1.2
R/GMODIS
=0.1291 R/Gcam green
+0.903p=1.6e-05 r2=0.36
R/GMODIS
R/G
cam
gre
en
F M A M J J A S O N D J F M1.15
1.275
1.4
Red
/Gre
en P
heno
cam
s
1.2
1.4
1.6
Red
/Gre
en M
OD
IS
F M A M J J A S O N D J F M1.03
1.08
1.13
Red
/Gre
en P
heno
cam
s
1.2
1.4
1.6
Red
/Gre
en M
OD
IS
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
Rai
nfal
l(mm
)
0
10
20
06/01 07/01 08/01 09/01 10/01 11/010
0.5
1
Red
/Gre
en
--- Banskia01
--- Banskia02--- Schrub--- Litter
--- Soil
Tower nadir camera
0.9 0.95 1 1.05 1.10.7
0.8
0.9
1R/G
MODIS=0.9572 R/G
cam+-0.0733
p=0.00091 r2=0.37
R/GMODIS
R/G
cam
0.9 0.95 1 1.05 1.10.4
0.5
0.6
0.7
0.8R/G
MODIS=2.32 R/G
cam green+-1.64
p=0.0001 r2=0.47
R/GMODIS
R/G
cam
gre
en
All image (green) Mean Banskia01, Banskia01, Shrubs MODIS
Jun Jul Aug Sep Oct Nov0
0.5
1R
ed/G
reen
Phe
noca
ms
0.8
0.95
1.1
Red
/Gre
en M
OD
IS
Jun Jul Aug Sep Oct Nov0.4
0.7
1
Red
/Gre
en P
heno
cam
s
0.9
1
1.1
Red
/Gre
en M
OD
IS
Green/Red (instead of Red/Green)
0.2 0.25 0.30.7
0.8
0.9
1R/G
MODIS=-3.54 R/G
cam+1.78
p=5.9e-05 r2=0.5
EVIMODIS
R/G
cam
0.2 0.25 0.30.4
0.5
0.6
0.7
0.8R/G
MODIS=-6.757 R/G
cam+2.37
p=2e-05 r2=0.54
EVIMODIS
R/G
cam
gre
en
0.4 0.5 0.60.7
0.8
0.9
1R/G
MODIS=-0.645 R/G
cam green+1.24
p=1.3e-05 r2=0.55
NDVIMODIS
R/G
cam
0.4 0.5 0.60.4
0.5
0.6
0.7
0.8R/G
MODIS=-1.507 R/G
cam green+1.51
p=1.6e-05 r2=0.55
NDVIMODIS
R/G
cam
gre
en
Jun Jul Aug Sep Oct Nov1
1.6
2.2
Gre
en/R
ed P
heno
cam
s
0.2
0.25
0.3
EVI M
OD
IS
Jun Jul Aug Sep Oct Nov1
1.6
2.2
Gre
en/R
ed P
heno
cam
s
0.4
0.6
0.8
ND
VI M
OD
ISAll 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
Rai
nfal
l(mm
)
0
11
22
S N D J F M A M J J A S O1
1.4
1.8
Red
/Gre
en
--- Grass01
--- Grass02 --- Acacia--- Litter--- Crust
0.1 0.12 0.141.3
1.35
1.4
1.45R/G
MODIS=102.8 R/G
cam+-9.46
p=0.62 r2=0.032
EVIMODIS
R/G
cam
0.1 0.12 0.14
1.3
1.4
1.5R/G
MODIS=191 R/G
cam+-18.8
p=0.66 r2=0.026
EVIMODIS
R/G
cam
gre
en
0.25 0.3 0.351.3
1.35
1.4
1.45R/G
MODIS=10.03 R/G
cam green+-1.08
p=0.15 r2=0.24
NDVIMODIS
R/G
cam
0.25 0.3 0.35
1.3
1.4
1.5
R/GMODIS
=13.89 R/Gcam green
+-2.05
p=0.068 r2=0.36
NDVIMODIS
R/G
cam
gre
en
S12 D12 F13 A13 J13 A13 O130.6
0.7
0.8
Gre
en/R
ed P
heno
cam
s
0.1
0.11
0.12
EVI M
OD
IS
S12 D12 F13 A13 J13 A13 O130.6
0.7
0.8
Gre
en/R
ed P
heno
cam
s
0.2
0.25
0.3
ND
VI M
OD
ISAll image (green) Mean Acacia, Grass01, Grass02 MODIS
1.4 1.5 1.6 1.71.2
1.3
1.4
R/GMODIS
=0.5382 R/Gcam
+0.444p=0.42 r2=0.11
R/GMODIS
R/G
cam
1.4 1.5 1.6 1.71.2
1.3
1.4
1.5
1.6R/G
MODIS=0.6175 R/G
cam green+0.254
p=0.35 r2=0.15
R/GMODIS
R/G
cam
gre
en
S12 D12 F13 A13 J13 A13 O131
1.3
1.6
Red
/Gre
en P
heno
cam
s
0.8
1.3
1.8
Red
/Gre
en M
OD
IS
S12 D12 F13 A13 J13 A13 O131
1.4
1.8
Red
/Gre
en P
heno
cam
s
1.6
1.7
1.8
Red
/Gre
en M
OD
IS
All image (green) Mean Acacia, Grass01, Grass02 MODIS