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RADAR RESPONSE OF VEGETATION: 5/2.
AN OVERVIEW N 9 4 -/_. _ _;:_
[
Fawwaz T. Ulaby and M. Craig DobsonThe University of Michigan
• Vegetation Classes
• Soil Scattering: (1) Backscatter(2) Forward Scattering
• Radar Response
• Vegetation Biomass
• Vegetation Structure
• Temporal Variations: (1) Short Term (hours to days)(2) Long Term (Seasonal)
• Effect of Rain
• Emergence of a User Community
• Concluding Remarks
jThe University of Michigan
- 151
https://ntrs.nasa.gov/search.jsp?R=19940011425 2019-08-25T07:26:44+00:00Z
RADAR SCA'I-I'ERING MECHANISMS
Direct Crown
Vegetation-Ground
Direct Ground
• Direct Ground Backscatter
• Vegetation-Ground BistaticScattering• Trunks• Leaves (needles)• Branches
• Direct Crown Backscatter
153
University ofMichigan J
MOD-3
SOIL BACKSCATTERING
A. Theoretical Models
• Small Perturbation Model
• Physical Optics Model• Geometric Optics Model
• Phase Perturbation Method• Full Wave Model
• Integral Equation Model
Models agree with experimental observations only undercertain conditions. Overall, models not useful.
B. Michigan Empirical Model
• Frequency Range : 1-10 GHz• Angular Range :20 °- 70 °• Roughness range : s = 0.32 cm to s = 4.0 cm
(expected validity for any s >0.3 cm)• Moisture range : 0.05 g/cm 3 to 0.31 g/cm 3
Moisture Sampling Depth
L-Band (1.25 GHz) : Average Moisture of Top 10 cm layer
C-Band (5.3 GHz) : Average Moisture of Top 3 cm layer
X-Band (9.5 GHz) : Average Moisture of Top 1 cm layer
Sampling Depth = Z / 3
154 o
M MOD-3odel Verification For A smooth Surface (s=0.4 cm)
c o
c
¢o
u
1.-5GHz
1.5 Gllz0.
-I0.
-20. e
-30. "'"-..m
-40. -- -- -_-- _a-- _ "'.
",-50. " ........ ' ' • --
0. 10. 20. 30. 40. 50. 60. 70. 80.
Incidence Angle (Dcgrce_s)
5 = 0.4 cm
m,, = 0.29
o°.. Model
.........a°_. Model
o°.. Model
m o°_,.Mcasua=:l
A oe_,_
v o°_. Mcaau_
4.75 GHz10. - 4 "-
9.5 GHzI " I " | " 4 " i " i -
9.5 GHz
N.
0 . i . I . I . ! . ! . ! - !
O. 10. 20. 30. 40. 50. 60. 70. gO,
Incidence Angle (Degrees) Incidence Angle ('Degrees)
¢II
4.0
®
3.0
2.0
1.0
0.00.0
MOD-3
I ' i
correl, coeff. = 0.98
1990 meas.
1991 meas.
E3/
/
® ®i_ /® /®
/ / I':1
N,
Bs"
//
B /®/
/
/
/
/
/
/
I
1.0
/
7
I
3.0
/
1:1 //
/I
/7
rms height
4.0
Measured ks
o
0.4
0.3
0.2
0.1
/
0.0'0.0
®
B
I
I
I
/
I
I ' I
correl, coeff. = 0.97
1990 meas.
1991 me,as.
®/
&.,B /
/13
/
I , !
0.1 0.2
| = l:
It
El //
/
J
/
//
,,NO/
0.4
soil moisture
Measured m v156
MOD-3
A
Inversion Algorithm
If radar measures o"O, o"O, and O-°v at a given frequencyand angle, both s and mv can be determined from the ratios:
p=a°/o °
q= a°v/a °
p--q Diagram (1.25 GHz, 40*)
ks=3.20
1.60
O
%IIe_
1.00
0.40
q= o°,../a'...(riB)
Note: p(dB)= 1010g(G O / G°)= o-O(dB)_ GO(dB)
q(dB) = G°v (dB)- o-v°(dB).
157
MOD-3
ERS- 1 SAR Response
0= 23 °vv Polarization
5.3 Cl:/z
W-pol.
#=23* s > 2.4era
-5.01.2ern
-20.0
0.00
s : rms height
I I ! ! ! l i i w , I. i t • J I , I
0.10 0.20 0.30 0.40
Moisture Content, m v
- 158
RADAR RESPONSE TO VEGETATION
• OBJECTIVES
• To Discriminate/Classify Vegetation Classes• To Estimate Biomass• To Estimate LAI• To Estimate Soil Moisture• To Monitor Changes (deforestation, growth, stress, etc.)• Other
• VEGETATION CANOPY
• Structure: (1) Macro (tree or plant scale): Tree height,density, ground cover
(2) Micro (wavelength scale): Leaves,branches
• Dielectric Properties
• Ground Cover (soil, debris, undergrowth, etc.)
• TOOLSWavelength • APPROACH• Polarizations • Theory• Phase Statistics • Observations• Incidence Angle • Lab• Time • Field
• Air SAR _
• Satellite __
164. The University of Michigan
°°_"" /// I
l!io.,. -_ f'of _" ri/i. t"_ i s 2
I i , 4i.ol i. L:"o,_ _ I"
/Tf = = " -0, -'. _."
.// 0 • .... i _ _ _ . ! .... | .... i
•I ._ _" /"
0,
° "_ I l=_ _ ,"T o /
I" ol ..t /"
_ ..._ C_l l t1
•.= "- -" ,,, c/ =\ /"
o ,_.... _ .... =. _.-165 0,,0 (SZp) =_-aTo'l:;.;aoD =aoa_os_1o_
t.¢#
¢¢
¢¢
t..
m
I00"
I0
.I
.01t
0
0100
10
.1
.01
HH Polarization. 50 °
G 3 -9-ru_,K-
Sugar maple
(decurrent)
Il
1 2 3 4 5 6
Frequency (GHz)
1 2 3 4 5 6
C
t_
L
¢,#
100
10
.1
.010
0100
10
VV Polarization, 50 °
_ Sugar maple
V", urret• --i • I ' a - I " i "
1 2 3 4 5
Frequency (GHz)
1 2 3 4 5
Jack pine
(excurrent)
? L
Crown._Soil
Ground:'Trunk
Soil
Crown
=
i[[
!
C
166
° 5'
m-o
c -I0
(J.DM,,--
-15O0
i,._
20
O(/)
(.> -25
IZI
-3O
| , !
HH Polarization
0.44 1.2 5.3
-10
"-" -15m"0
c -20
=m
0,m
-25O
O
m -304d
(J
(.) -35"
-4O
HV Polarization
0.44 1.2 5.3
Frequency (GHz) Frequency (GHz)
nn"O
O=u
n-
-r--r-
0.448
6
4
2
0
- 2'
- 4 . 0
1.2 5.3I i I
•-,-4b--- Herbaceous
Slash
Excurrent LP
Excurrent RP
Decurrent RM
HH/VV Ratio
0 _ i
L C_.
167
A
m-o
om
t_rr
-I-
-I-
15
10
5
0.44 1.2 5.3I , I , i
HH/HV Ratio
m i i
p L C_..
Eos SAR Mission
CalibraLed AIRSAR lles4_a_J4 at L-Band Lo StaaMiag_IFoc_IL Bieiass
0
y = - 13.43 + 4.6x - 0.76x'2
HH polarization
HV polarization
y = - 22.22 ÷ 7.24x - 1.48x'2
• . | . • w • I • • •
0 !
R-2 = 0.97
I,
2 3
Total Biomass Iog(to_>/l_a)
y = - 14.48 * 4.17x - 0.70x'2
VV pelartzation
i
!
• Loblolly pine (Duke Forest,• Maritime pirm (Lae<les, France)• Non-forested
Total Biornass log(tons/ha)
University of Michigan168
i
F 2
el IdrL • OU] ._ .._ .._ ..; .._ 0
_,_ _ °°°• D _ > •
D -r" > =
fIrC _= i
.J
mm
0m
0
E.Et_
_-E_ em
"" 4=' L
p) 0!o!_ o:) u!Jol os)l:
O | , J , I . | - • i .... i .... i .... I .... [ ....
i .,o° q7 _ q7
ii II I]LN _ eq
° ' "ll_ "=_t 4o4n oc] _
:.o ..o
IIII ' 'I .... , .... , .... , .... , .... , .... , .... m" .... ' .... ° .... ' .... ' .... ' .... ' ....
'_p) ,uo!o,,,oo:) .u,_o,,eos_joe8 (8P) ;u.,o,,,;)o:) .u,Jo;,e=s)l_eaJI I
169
-10
-20'
-mt
-m
tD
•'_ -_0m
m_ -35
P-band, HV-potm-_n
] ] LJ LiJt[ i l I f , i . • ] t 1 i , ll,ll ___ I I [ i , i I •
• • "[] m
t0
: l 1 6r_ C_t so;_5
"l: @rass Car_ _oil]
-4_ ...... , ....... , ....... , .......• 1 1 1 0 _80 1000
tl
0
Loblolly pineM_itime_Re_ipine
Jac..kpine
Biglooth
Rexlmal:tle sv,_mpWhite cedar s',_mp
Non-forested
Grass (_T soil)Grass ('_i soil)Ckmr-cut
=
__=
_=
I
=It
!=mt
Aboveground ]_iomass (tonnestha)
170
L-band, HV-polarization
v
4_
=wlml
g2
EO
11
4_
U
-10
-15'
-20
_25 ¸
-35'
-35
-40
.1
I I j , ,,,,I _ , , • l i i i i I ] i 1 i iiiii i j i i i i i i
t&
t
...... I
1
[] J
...... I ...... I
10 "tO0
u LobloUy pine
= Maritime pin
• Red pine
=- Jack pine
• B_:_la aspen
"- Redm_l¢ _,r_mp
• Vdhile ced_ s'a,_mp
Non-forested
" Grass (dry soil)
• Gra_s ('o_t soil)• Cle_r-cut
Aboveground Biomsss (tonnes/ha)
- 171
,_ MRS-20
6. L-BAND SAIl OBSERVATIONS IN ALASKA
?,
O
m
oU
-5._ .... , .... l .... ' ....
.10._
-15.
-20.
-25.-25. -20. -15. -10.
G° (dB) MIMICS
e White Spruce -- Thawed
• White SlXUee - Frozen
t_ Black Spruce - Thawed
• Black Spruce -- Frozen
,,, Balsam poplar - Thawed
• Balsam Poplar -- Frozen
v Alder -- Thawed
• Alder - Froz_
-5.
172
Pellston Aa °, July 8 - July 10, HI-I-polarization
GRASS ASPEN PINES
P band
0.30
0.2O
0.15
o,ot=I
-3 -2 -1 O 1 2 3
_o(¢IB)
0.301
_o(¢m)
0-_0_
O.25[-
o.15_-
0.10[-
o.05_
0.00 _ ,-3 -2 -1 O I 2 3
_°(dB)
L band
I
0.2O
0.15
o,of0.05[
t i • "
-3 -2 -1 O 1 2 3
_(dB)
0.30, O.._OI
0.251
0.201
0.151
O.IOI
0.051
OIIO '-3 -2 -1 O 1 2 3
Aoe(_)
C band
O30
0.15
0.10,
O.O0-3 -2 -1 O 1 2 3
_(_)
0.3O
O25
O.2O
0.15
O.IO
o_ _O.I_ ' "_
-3 -2 -I O 1 2 3
_o (cm)
O.3O
025
O,20
0.15
O.IO
o_ _0.0(3 ,
-3 -2 -1 0 1 2 3
173
-11| | | | I i |
June 14. 1983
Winter Wheot
- 10.2 GHz
Ao&," • Leaf Surface
-12 - WoZer
_ e =.NI"
/8
-]5 , , , I , i ,--I]2:00
q
I,15:00 14:00
Time of Day (CDT)
LeafSurface
16:00
i
i
174
ERS-1 RESULTS
• Class Statistics
• Observation versus Theory (MIMICS)
• Biomass Response (Deciduous and Coniferous)
• Seasonal Variation (LAI)
• Deciduous• Coniferous
The University of Michigan J
175
ERS-1
0.35
ERS-1 Class Statistics for 3x3 Pixel Averages
0oo
-30.
InlandLakes Hay fields
Prairie
Concrete
LowlandConifers
Jack Pine NorthernHard woods
Red Pine
i
|
°
176
o_j
1,I
"0
0
Comparison of SAlt Observations with MIMICS SimulationsC-band, W-polarization
A
0
1:1 line
Red pire
Jack pine
aeo n_eSugar mapleGrass
Lol_olty pine
Simulated Backscatter Coefficient (dB)
- 177
(n(n
oim
m
(n4)!.-
0LI.
"0C
0
0
::3
CDr_CCD
"0e,,4)Q.
1:3
I R i s
_D
0
I1
x
00
+
I!
!
r-
G)O.
01 (n0 _
°i_-_. __ _-_"_. o E o
_ o_
4 4. •
o
o
o
In
o
_- c3
o
o
o
o
In
i , i J o
0 m 0 In 0
•r- _ (_ (%1 toi ! | i !
(SP) ]ue!o!J;ooD Je]J, eosMoe_]
t_e-
e-f-0
Eo
C_
179
Ic_
i,i
U}
U_
oIL
U}
o
"0lamm
U4)
a
Ibm
o
.J
>
4)
4d
U
U!
z x ..L | |
_, o
E o..?
I_1 m E
• • •
!1 D
nl
IN
,my _
| !
<
E
<
E
X0
C
Q
qQ.J
i
!
z
E
=
z
(SP) Zue!o!_#eoo Je_,_eosHoeg
180
IGOCc_LI.J
0U.
mm
0(.3
>,,
|
0
0
0
_J
>
(D
m0
0mrn
II
|
(SP)
0 m 0
I im |
_ue!o!JJeoo 4ezleos)loe8
A
EC_<
Ev
X0
"0r"
m
W
L-
<
q_
J
- 181
CONCLUSIONS & RECOMMENDATIONS
I. SURFACE SCATTERING Status
1. Retrieval of Soil Moisture andSurface Roughness
• IL.Band Quad-Pol i for bare soil
Field tested,Some AirSARVerification
• P-Band Quad-Pol: extends to agricultural crops
2. Effects of Organic Debris
• Extinction depends on size / _.
At P and L-Bands, only trunks and large
branches are significant
Demonstratedin lab
H. VEGETATION SCATTERING
1. In general o ° = f (biomass, structure)
2. Extinction by crown layer increaseswith frequency
3. Scattering by foliage and small branches:
• negligible at P and L Bands
• dominates at C and X Bands
MIMICS,AirSar,ERS-1
4. Scattering by trunks and large branches:
• dominates at P and L Bands
The University of Michigan J
182
CONCLUSIONS & RECOMMENDATIONS
i
• Even P-Band is insensitive to high biomassforests (Pacific NW _=_500 t0ns/ha)
6. Innundation under Forest Cover
L-Band HH I
7. Effects of Intercepted Precipitation
• negligible at P Band
• _=I dB increase or decrease at L-Band
• ---2 dB increase at C-Band
8. Freezing of Vegetation Leads to
Significant changes in _° at all Bands
SIR-BAirSARVerified
AirSAR,ScatteringVerified
AirSAR,MIMICSVerified
9. Deforestation Readily Detectable at
P and IL-Band[
SIR-B,AirSAR
10. LAI Foliar Biomass Estimation
[C-Band Quad or X-Band[
MIMICS,Field,AirSAR
11. Multi-Date Observations: Very Powerful Tool
• Requires good Relative Calibration (Stability) ___-+1 dB
• Requires good Absolute Calibration -=+ 1 dB
The University of Michigan J
183