potentials for detecting canopy water stress using geostationary msg

Transcription

POTENTIALS FOR DETECTING CANOPY WATER STRESS
USING GEOSTATIONARY MSG-SEVIRI SWIR DATA
Rasmus Fensholt,
*Department of Geography and Geology,
University of Copenhagen, Denmark
Co-workers; Silvia Huber*, Simon R. Proud*,
Mads O. Rasmussen*, Inge Sandholt, Simon
Stisen**, Cheikh Mbow, UCAD Senegal
1
Water; primary potential climatic constraint to plant growth
(40% of Earth's Terrestrial Surface)
Outline:
• EO-based Canopy Water Stress detection
• In situ measured Canopy Water Stress
Potential climatic constraints to plant growth.
Nemani et al. (2003)
• Results & validation
- from point observations
- validation in the spatial domain
2
EO-based Canopy Water Stress detection
Absorption by leaf water occurs in SWIR
- Shortwave infrared reflectance is negatively related to leaf water content
- Increased reflectance in SWIR is the most consistent leaf reflectance response
to plant stress in general, including water stress.
Prospect+Sail models; Zarco-Tejada and Ustin 2001
SWIR reflectance influenced by;
Leaf water content
Leaf internal structure
Leaf dry matter content
NIR reflectance influenced by;
Leaf internal structure
Leaf dry matter content
Cw (water thickness)=
0.001
Cw = 0.03
CW =0.001
MSG Band 1
Band 2
Band 3
CW =0.03
3
EO-based Canopy Water Stress detection
- Water Stress index development
Physically based studies;
Tucker, 1980;
Fourty and Baret, 1997
Laboratory measurements;
Hunt, Rock, & Nobel, 1987
Carter, 1994
Physically – Emperically applied to sat sensors…
Hunt and Rock, 1989 – Landsat TM
Moisture Stress Index
Gao, 1996 - AVIRIS
Normalized Difference Water Index
Serrano, Ustin, Roberts, et al., 2000 - AVIRIS
Zarco-Tejada and Ustin, 2003 - MODIS
Simple Ratio Water Index
Ceccato et al., 2001; 2002 - SPOT VGT.
Fensholt and Sandholt, 2003 - MODIS
Shortwave Infrared Water Stress Index
Rubio et al., 2006 - MODIS
Normalized Difference Water Index 7
Trombetti et al., 2008 – MODIS
Shortwave Infrared Ratio
Fensholt et al. 2010 – SEVIRI MSG
Shortwave Infrared Water Stress Index
4
Variable performance validation
Mauritania
Mali
Niger
Chad
From the Dahra test site
in semi-arid Senegal
Burkina
Faso
Sudan
Ethiopia
Nigeria
Senegal
Northern Sahel
±
Southern Sahel
0
500
1,000
2,000
Kilometers
Dahra Senegal
900
800
Annual Rainfall
700
600
500
400
300
200
100
0
1960
1965
1970
1975
1980
1985
1990
1995
2000
2005
2010
5
Dahra test site setup
Since 2004
Since 2002
- Air temperature,
- Relative humidity
- Wind speed
- Net radiation
Global radiation
- Ground heat flux
Full surface energy balance
Flux profile estimates of
latent and sensible heat
Windspeed
- Precipitation & surface temperature
- Soil moisture & soil temperature profiles
- Sensor specific reflectances, matching
various sensors for estimation of spectral
vegetation indices & fAPAR.
Ancillary sampling:
biomass, vegetation height, root depth etc.
Measurements
every 15 minutes
Air temperature
& humidity
Global
radiation
Net
radiation
IR radiometer
Spectral
Reflectance
6
Dahra test site setup
Since 2008
- LST (collaboration with
Institute of Technology (KIT)
Institute for Meteorology and
Climate Resarch (IMK)
Atmospheric Trace Gases and
Remote Sensing (ASF)
- Poster: Rasmussen, Mads, O. et al.
Intercomparison between SEVIRI LST-products
And comparison with in situ LST measurements
7
East
West
Since 2010
- ASD spectroradiometers
(350-1800 nm)
45°
45°
30°
30°
15°
0°
15°
- Eddy covariance fluxes
(water and carbon)
Collaboration with
University of Lund
Eddy Flux Tower
8
Prospect+Sailh models; Zarco_Tejada and Ustin 2001
Cw (water thickness)=
0.001
Can SWIR based canopy water status be detected
0,8
20
In theNDVIfield?
ASD NADIR MSG config
0,7
Soil moisture 5cm
16
0,6
ASD data 2010 preliminary results....
12
0,4
Poster:
Huber, S. et al.
0,3
Detecting
drought related stress with field
0,2
spectroradiometric
measurements of
0,1
natural
grass savanna
0
8
Soil Moisture
NDVI
0,5
Cw = 0.03
4
247
244
241
238
235
232
229
226
223
220
217
214
211
208
205
202
0
199
-0,1
35
DOY 238
DOY 240
25
20
DOY 242
DOY 244
15
10
45°
5
45°
30°
30°
15°
0°
15°
0
35
0
40
0
45
0
50
0
55
0
60
0
65
0
70
0
75
0
80
0
85
0
90
0
95
10 0
0
10 0
5
11 0
0
11 0
5
12 0
0
12 0
5
13 0
0
13 0
5
14 0
0
14 0
5
15 0
0
15 0
5
16 0
0
16 0
5
17 0
0
17 0
5
18 0
00
Reflectance (%)
30
9
Mauritania
Mali
Niger
Chad
Burkina
Faso
Sudan
Ethiopia
Nigeria
Senegal
Northern Sahel
±
Southern Sahel
0
500
1,000
2,000
Kilometers
0,8
20
0,7
NDVI ASD NADIR MSG config
SIWSI ASD NADIR MSG config.
Soil moisture 5cm
Soil moisture 10cm
16
0,6
0,5
8
Soil Moisture
0,3
0,2
0,1
4
0
247
245
243
241
239
237
235
233
231
229
227
225
223
221
219
217
215
213
211
209
207
205
203
0
201
-0,1
199
NDVI and SIWSI
12
0,4
10
4-day BRDF corrected reflectances Febr. 2008
Annual BRDF corrected reflectances avg. 2008
MSG SEVIRI data University of Copenhagen
SMAC corrected (MOD08 input), reflectances BRDF (NBAR)
Proud, S. R. 2010…
Poster: Evaluating the effectiveness of producing BRDF models
from SEVIRI surface reflectance data.
11
0,9
Terra MODIS NDVI
Aqua MODIS NDVI
IN situ MODIS NDVI
GoogleEarth
0,6
0,5
0,4
0,3
0,2
0,8
0,7
MODIS 500m
y = 1,01x - 0,02, R2 = 0,99
0,6
MODIS 250m
y = 0,99x - 0,01, R2 = 0,99
0,8
Test
site 0,7
Terra MODIS
y = 0,92x + 0,009, R2 = 0,70
15
MODIS NDVI (4.5 1km
2 aggregated)
83
21
24 4
27 5
30 6
15 7
18 2
21 3
24 4
27 5
30 6
15 7
18 2
21 3
24 4
27 5
30 6
15 7
18 2
21 3
24 4
27 5
30 6
15 7
18 2
21 3
24 4
27 5
30 6
15 7
18 2
MODIS NDVI
21 3 250m
24 4
27 5
30 6
15 7
18 2
21 3
24 4
27 5
30 6
15 7
18 2
21 3
24 4
27 5
30 6
7
0,1
2003
2004
2005
2006
2007
0,5 2008
0,5
0,4
0,4
0,3
0,3
0,2
0,2
0,1
MODIS 500m
MODIS 250m
Dahra
Village
0
0
0,1
0,2
0,3
3 km
2002
0
0,6
Aqua MODIS
y = 0,95x + 0,001, R2 = 0,76
2008
2009
2010
18
21 2
24 3
27 4
30 5
6
MODIS NDVI 500m resolution
0,8
Dahra
test site
in0,7Senegal
Terra MODIS
0,1
Aqua MODIS
0
0,4
0,5
0,6
MODIS NDVI 250 & 500 m
0,7
0,8
0
0,1
0,2
0,3
0,4
0,5
In situ NDVI
0,6
0,7
0,8
Mauritania
Mali
Niger
Chad
Burkina
Faso
Sudan
Ethiopia
Nigeria
Senegal
Northern Sahel
±
Comparing MSG SEVIRI
vegetation indices
with in situ measuremets
Southern Sahel
0
500
1,000
2,000
Kilometers
0,7
MSG DGG NDVI
MSG In situ
MSG LSA SAF NDVI
0,6
0,4
0,3
0,2
0,1
23-10-2008
16-10-2008
09-10-2008
02-10-2008
25-09-2008
18-09-2008
11-09-2008
04-09-2008
28-08-2008
21-08-2008
14-08-2008
07-08-2008
31-07-2008
24-07-2008
17-07-2008
10-07-2008
03-07-2008
26-06-2008
19-06-2008
12-06-2008
05-06-2008
29-05-2008
0
22-05-2008
NDVI
0,5
13
60.4%
±
0
500
66.7%
Senegal
In situ NDVI (MODIS config. Daily avg)
Northern Sahel
Southern Sahel
1,000
2,000
0,7
Kilometers
0,6
51.2%
0,5
600
0,4
60.9%
0,3
66.5%
200
0,2
0
Julian day 2008
10
10
8
8
6
6
4
4
In situ NDVI and Root depth (m)
Mali
0,1
0,5
0,05
0,4
0
0,3
-0,05
0,2
-0,1
0,1
-0,15
0
2
2
-0,2
-0,1
-0,25
-0,2
0
0
-0,3
-0,3
NDVI and SIWSI indices
Burkina
Faso
21-10-2008
21-10-2008
Mauritania
14-10-2008
14-10-2008
67.7%
07
-1
020
08
14
-1
020
08
21
-1
020
08
Root depth
07-10-2008
07-10-2008
30-09-2008
30-09-2008
Aboveground Biomass
23-09-2008
23-09-2008
16-09-2008
16-09-2008
09
-0
920
08
16
-0
920
08
23
-0
920
08
30
-0
920
08
800
09-09-2008
09-09-2008
02-09-2008
02-09-2008
12
12
26-08-2008
26-08-2008
12
-0
820
08
19
-0
820
08
26
-0
820
08
02
-0
920
08
400
19-08-2008
19-08-2008
12-08-2008
12-08-2008
05-08-2008
05-08-2008
29-07-2008
29-07-2008
22-07-2008
22-07-2008
14
14
15-07-2008
15-07-2008
1000
15
-0
720
08
22
-0
720
08
29
-0
720
08
05
-0
820
08
24
-0
620
08
01
-0
720
08
08
-0
720
08
2
Above ground Biomass (g/m )
1200
08-07-2008
08-07-2008
01-07-2008
01-07-2008
24-06-2008
24-06-2008
soilmoisture
moisture(Vol
(Vol%)
%)
soil
Evaluation of EO-based SIWSI
from in situ measuremets - 2008
Niger
Chad
Sudan
Nigeria
Ethiopia
0,8
0,1
0
0,2
0,7
0,15
0,6
14
0
500
Mali
1,000
14
12
0,1
0,5
10
0,05
0,4
8
0
0,3
6
-0,05
0,2
-0,1
0,1
4
-0,15
0
2
-0,2
-0,1
0
Burkina
Faso
22-10-2006
±
15-10-2006
from in situ measuremets – 2006
08-10-2006
01-10-2006
24-09-2006
17-09-2006
10-09-2006
03-09-2006
27-08-2006
20-08-2006
13-08-2006
06-08-2006
30-07-2006
23-07-2006
16-07-2006
09-07-2006
02-07-2006
25-06-2006
soil moisture
moisture (Vol
(Vol %)
%)
soil
Mauritania
Niger
Chad
Sudan
Senegal
Nigeria
Ethiopia
Northern Sahel
Southern Sahel
2,000
Kilometers
0,2
0,7
0,15
0,6
-0,25
-0,2
-0,3
15
soilmoisture
moisture(Vol
(Vol%)
%)
soil
-0,2
-0,1
-0,25
-0,2
0
0
-0,3
-0,3
Burkina
Faso
0
500
1,000
22-10-2007
22-10-2007
±
15-10-2007
15-10-2007
08-10-2007
08-10-2007
01-10-2007
01-10-2007
24-09-2007
24-09-2007
17-09-2007
17-09-2007
10-09-2007
10-09-2007
03-09-2007
03-09-2007
27-08-2007
27-08-2007
20-08-2007
20-08-2007
13-08-2007
13-08-2007
06-08-2007
06-08-2007
30-07-2007
30-07-2007
23-07-2007
23-07-2007
16-07-2007
16-07-2007
09-07-2007
09-07-2007
02-07-2007
02-07-2007
12
12
10
10
8
8
6
6
4
4
2
2
25-06-2007
25-06-2007
Mauritania
Mali
Niger
Chad
14
14
Sudan
Senegal
Nigeria
Ethiopia
Northern Sahel
Southern Sahel
2,000
Kilometers
0,2
0,7
0,15
0,6
0,1
0,5
0,05
0,4
0
0,3
-0,05
0,2
-0,1
0,1
-0,15
0
16
Mali
Burkina
Faso
1,000
14
12
0,5
10
0,4
8
0,3
6
0,2
0,1
4
0
2
-0,1
0
500
17-11-2009
0
10-11-2009
±
03-11-2009
27-10-2009
20-10-2009
13-10-2009
06-10-2009
29-09-2009
22-09-2009
15-09-2009
08-09-2009
01-09-2009
25-08-2009
18-08-2009
11-08-2009
04-08-2009
28-07-2009
21-07-2009
14-07-2009
07-07-2009
30-06-2009
23-06-2009
16-06-2009
09-06-2009
02-06-2009
26-05-2009
soil moisture (Vol %)
Mauritania
Niger
Chad
Sudan
Senegal
Nigeria
Ethiopia
Northern Sahel
Southern Sahel
2,000
Kilometers
0,7
0,6
-0,2
-0,3
17
Senegal
In situ NDVI (MODIS config. Daily avg)
±
0
Northern Sahel
500
Southern Sahel
66.7%
1,000
2,000
0,7
Kilometers
0,6
51.2%
0,5
600
0,4
60.9%
0,3
66.5%
200
0,2
0
Julian day 2008
0,1
10
0,05
8
0
6
-0,05
-0,1
4
-0,15
2
-0,2
0
60.4%
Mali
In situ NDVI and Root depth (m)
Burkina
Faso
21-10-2008
Mauritania
14-10-2008
67.7%
07
-1
020
08
14
-1
020
08
21
-1
020
08
Root depth
07-10-2008
30-09-2008
Aboveground Biomass
23-09-2008
16-09-2008
09
-0
920
08
16
-0
920
08
23
-0
920
08
30
-0
920
08
800
09-09-2008
02-09-2008
12
26-08-2008
12
-0
820
08
19
-0
820
08
26
-0
820
08
02
-0
920
08
400
19-08-2008
12-08-2008
05-08-2008
29-07-2008
22-07-2008
14
15-07-2008
1000
15
-0
720
08
22
-0
720
08
29
-0
720
08
05
-0
820
08
24
-0
620
08
01
-0
720
08
08
-0
720
08
2
Above ground Biomass (g/m )
1200
08-07-2008
01-07-2008
24-06-2008
soil moisture (Vol %)
Niger
Chad
Sudan
Nigeria
Ethiopia
0,8
0,1
0
0,2
0,15
-0,25
-0,3
18
12
Soil moisture 5 cm
MSG SEVIRI SIWSI
Terra MODIS SIWSI
Aqua MODIS SIWSI
0,2
0,15
MSG SEVIRI daily BRDF SIWSI
Soil moisture (vol%)
10
0,1
0,05
8
0
6
-0,05
-0,1
4
-0,15
2
-0,2
0
800
MSG SEVIRI SIWSI (9 am. 4 pm. local solar time)
0,25
14
-0,25
253
254
255
Net radiation
256
257
258
Sensible heat flux
259
260
Latent heat flux
261
262
263
264
265
266
267
268
262
263
264
265
266
267
268
Soil flux
700
600
Watt/m
2
500
400
300
200
100
0
253
254
255
256
257
258
259
260
261
269
19
- Spatio-temporal Evaluation of SIWSI (20 pixels, 320 km2)
using NOAA RFE rainfall as surface water status indicator
20
30
-0
506 20
-0 08
613 200
8
-0
62
20
0
-0 08
627 20
-0 08
604 20
-0 08
711 20
-0 08
718 20
-0 08
725 200
-0
8
72
01
0
-0 08
808 20
-0 08
815 20
-0 08
822 20
-0 08
829 20
-0 08
805 200
-0
8
92
12
0
-0 08
919 20
-0 08
926 20
-0 08
903 20
-1 08
010 200
-1
8
02
17
0
-1 08
024 20
-1 08
020
08
Soil moisture (Vol %)
20
18
16
14
MSH model soil moist 25 cm
in situ soil moist 30 cm
MSH ETa
12
2
0
6
5
10
4
8
3
6
2
4
1
EvapoTranspiration (mm/day)
- Spatio-temporal evaluation of MSG SIWSI using a
hydrological model (Mike-She distributed model)
• Is the model able to simulate water status at the
Dahra test site?
• Are model inputs (RFE rainfall) reliable?
7
0
21
- Spatio-temporal evaluation of MSG SIWSI
using a hydrological model (Mike-She distributed model)
Preliminary data analysis…
22
23
SIWSI
NDVI
ETa
24
Conclusions and perspectives
- SWIR sensitivity to Canopy water
content (semi-arid grass land)
- MSG sensitivity on a daily scale
- Biomass dependancy
- SWIR based indices complementary
to VIS/NIR approaches
- SWIR based indices more robust to
atm correction than VIS/NIR
0.9
90
Soil moisture 10 cm
80
0.7
70
2002
2003
2004
2005
2006
2007
2008
2009
0.6
2010
60
0.5
50
0.4
40
0.3
30
0.2
20
0.1
10
0
15
182
213
244
275
306
157
182
213
244
275
306
157
182
213
244
275
306
157
182
213
244
275
306
157
182
213
244
275
306
157
182
213
244
275
306
157
182
213
244
275
306
157
182
213
244
275
306
7
18
212
243
274
305
6
MODIS NDVI
In situ MODIS NDVI
Rainfall (mm) adn Soil moisture (vol%)
Rainfall
0.8
0
25

potentials for detecting canopy water stress using geostationary msg

Transcription

Similar documents