Landsat ET Mapping Applications over Forested Landscapes · Mapping Applications over Forested...
Transcript of Landsat ET Mapping Applications over Forested Landscapes · Mapping Applications over Forested...
Landsat ET
Mapping
Applications over
Forested
Landscapes Martha C. Anderson, Feng Gao, Yun Yang, Liang Sun
USDA-Agricultural Research Service
Hydrology and Remote Sensing Laboratory
Beltsville, MD
Bruce Cook
NASA - GSFC
Randy Wynne, Val Thomas, Cameron Houser
Virginia Tech
Pro
jec
t o
ve
rvie
w
TOOLS
Multi-sensor data fusion
STARFM
DMS
ALEXI
Thermal image sharpening
Multi-scale ET modeling
ASSETS
GEO
MODIS
Landsat
Lsat-like
Hourly 5km/5km
Daily 250m/1km
16 day 30m/100m
~20-60m/ --
SW/TIR
APPLICATIONS (daily/30 m)
Crop phenology metrics
Crop water use (Evapotranspiration)
Crop stress (drought early warning)
Landsat Science Team, July 2015
DATA FUSION: daily ET at
field scale
Po
lar
(Lan
dsa
t)
Air
bo
rne
(U
SU a
ircr
aft)
Wate
rshe
d
(60
m)
Field
scale
(30
m)
SURFACE TEMPERATURE EVAPOTRANSPIRATION
GEO
(G
OES
Imag
er) R
egio
nal
(5km
) G
EO
(GO
ES S
ou
nd
er) C
on
tine
ntal
(10
km)
Tem
per
atu
re (C
)
Po
lar
(MO
DIS
) Basin
(1
km)
Latent H
eat (W
m-2)
GEO
(I
SCC
P)
Glo
bal
(25
km)
1 July 2002 – 10:30AM LST
corn soy
Hourly
Daily
1 LS – 16 day
2 LS – 8 day
GOES/MODIS/Landsat FUSION
GO
ES
(AL
EX
I)
MO
DIS
(Dis
AL
EX
I)
LA
ND
SA
T
(Dis
AL
EX
I)
DOY 328 329 330 331 332 333 334 335 336
Landsat 5 Landsat 7
(Gao et al, 2006)
Spatial Temporal Adaptive Reflectance Fusion Model
(STARFM)
Daily Evapotranspiration – Orlando, FL, 2002
Loblolly Pine Plantation, NC
Landsat 8 - 2013 Eff
ec
t o
f fo
rest
ma
na
ge
me
nt
Yang, Y., et al. (2015). Daily Landsat-scale evapotranspiration estimation over a
managed pine plantation in North Carolina, USA using multi-satellite data fusion.
Remote Sens. Environ., in preparation
NC2
NC3
Landsat Science Team, July 2015
ALE
XI/
Dis
ALE
XI
GOES MODIS/Landsat LST:
MODIS MODIS/Landsat LAI:
Landcover, fc HEIGHT: hc = hcmin*(1-fc) +hcmax*fc)
Landsat Science Team, July 2015
Ga
p-f
illin
g w
ith
STA
RFM
Landsat Science Team, July 2015
mm/day
5.5
5.3
5.1
4.9
4.7
4.5
4.3
4.1
3.9
3.7
3.5
3.3
3.1
2.9
2.7
2.5
MODIS ET 96
STARFM ET 96
MODIS ET 104
Landsat ET 104
STARFM Landsat ET 96
Gapfilled
Landsat ET 96
Flu
x e
va
lua
tio
n o
n L
an
dsa
t d
ate
s
Ov
erp
ass
Tim
e
Da
ytim
e
NC2 (20yr) NC3 (clearcut)
Landsat Science Team, July 2015
Eff
ec
t o
f fo
rest
ma
na
ge
me
nt
NC2: Loblolly Pine (2013)
Landsat Science Team, July 2015
ALEXI ET Observed ET Landsat retrievals Landsat-only Landsat-MODIS fusion
Eff
ec
t o
f fo
rest
ma
na
ge
me
nt
NC3: Clearcut Pine (2013)
ALEXI ET Observed ET Landsat retrievals Landsat-only Landsat-MODIS fusion
Landsat Science Team, July 2015
Eff
ec
t o
f fo
rest
ma
na
ge
me
nt
Landsat Science Team, July 2015
Wa
ter
use
va
ria
bili
ty w
ith
sta
nd
ag
e
Pine Plantation Stand Age
Landsat Science Team, July 2015
Wa
ter
use
va
ria
bili
ty w
ith
lan
d u
se
Landsat overpasses
Landsat Science Team, July 2015
7-D
ay A
ver
age
ET
(m
m)
Cu
mu
lati
ve
ET
(m
m)
Day of Year
Day of Year
NA
SA
G-L
iHT
airb
orn
e s
yst
em
Goddard’s LiDAR, Hyperspectral and Thermal
Airborne Imaging System
Collaborator B. Cook
Landsat Science Team, July 2015
Landsat Science Team, July 2015
NA
SA
G-L
iHT
airb
orn
e s
yst
em
Landsat Science Team, July 2015
GLiHT TSEB Difference
Canopy height over Parker Tract NC2
NC3
Landsat Science Team, July 2015
LST Canopy
Height Fraction
Cover LAI N
ASA
G-L
iHT
airb
orn
e s
yst
em
Other G-LiHT inputs to TSEB
NC2
NC3
Co
nc
lusi
on
s
USDA is an equal opportunity provider and employer.
For further investigation:
Study differences in water balances among different
land cover types (natural/managed forests, crops).
How has ET and runoff (P - ET) in the region changed
over time?
How does forest age affect ET and water yield? How
might this kind of information impact management
of water yield through forest cutting?
Can we use Landsat ET to validate
watershed/regional hydrological models?
hrsl.arsusda.gov/drought
Landsat Science Team, July 2015
Afr
ica
n M
on
soo
n P
roje
ct
(MJ m-2 d-1)
African Monsoon Multidisciplinary Analysis (CNRM, CESBIO)
BENIN
NIGER
MALI Flux towers
Landsat Science Team, July 2015
MSG (3km)
MSG (3km)
MODIS (1km)
MODIS (1km) L7 (30m) L7 (30m)
L7 (30m)
Bellefoungou Forest
BENIN, AFRICA mm/day