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Christian N. Koyama University of Cologne IGARSS 2011 Soil Moisture Retrieval Under Vegetation Using Dual Polarized PALSAR Data Christian Koyama & Karl Schneider Department of Geosciences University of Cologne IGARSS 2011 Vancouver July 26, 2011
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Page 1: Christian N. Koyama University of Cologne IGARSS 2011 Vancouver, July 26 Soil Moisture Retrieval Under Vegetation Using Dual Polarized PALSAR Data Christian.

Christian N. KoyamaUniversity of CologneIGARSS 2011Vancouver, July 26

Soil Moisture Retrieval Under Vegetation Using Dual Polarized PALSAR Data

Christian Koyama & Karl SchneiderDepartment of Geosciences

University of CologneIGARSS 2011 Vancouver

July 26, 2011

Page 2: Christian N. Koyama University of Cologne IGARSS 2011 Vancouver, July 26 Soil Moisture Retrieval Under Vegetation Using Dual Polarized PALSAR Data Christian.

Christian N. KoyamaUniversity of CologneIGARSS 2011Vancouver, July 26

Outline

• Test Site & Field Measurements

• ALOS PALSAR Data & Processing

• Grassland Soil Moisture Retrieval Model

• High Resolution Surface Soil Moisture Patterns

• Conclusions

- 02 -TABLE OF CONTENTS

Page 3: Christian N. Koyama University of Cologne IGARSS 2011 Vancouver, July 26 Soil Moisture Retrieval Under Vegetation Using Dual Polarized PALSAR Data Christian.

Christian N. KoyamaUniversity of CologneIGARSS 2011Vancouver, July 26

Grass layerLayer depth: 5 – 175 cmDielectric constant: 15 – 25 Blade density: 1000 – 3000/m²Grass biomass: 0.2 – 3.1 kg/m²Thatch layer

Layer depth: 2 – 4 cmDielectric constant: 6 – 70Soil half spaceDielectric constant: 9.7 – 33.8Texture: clay/silt loam

GROUND TRUTH DATA(test site and field measurements)

- 03 -

Page 4: Christian N. Koyama University of Cologne IGARSS 2011 Vancouver, July 26 Soil Moisture Retrieval Under Vegetation Using Dual Polarized PALSAR Data Christian.

Christian N. KoyamaUniversity of CologneIGARSS 2011Vancouver, July 26

PALSAR Fine Mode Dual Polarization DataRegion: Track 647+648 / Frame 1000+1010

Ground Range Resolution: 15 m

Center Frequency: L-band @ 1,270 MHz

Chirp Bandwidth: 14 MHz

Polarization: HH + HV

Off-Nadir Angle: 34.3 deg.

2007 2008 2009

Track 647Track 648

10/2

1/20

09

5/4/

2008

6/2/

2008

6/19

/200

8

7/18

/200

8

6/22

/200

9

7/21

/200

9

9/5/

2009

9/22

/200

9

9/17

/200

7

8/2/

2007

Soil moisture

Surface roughness

Biomass

ALOS PALSAR FBD343 DATA(product description & acquisition overview)

- 04 -

Jan.

Feb. Mar. Apr

.M

ayJu

ne July

Aug.

Sep.

Oct. Nov.

Dec.

Aug.

Sep.

Oct. Nov.

Dec.

Jan.

Feb. Mar. Apr

.M

ayJu

ne July

Aug.

Sep.

Oct. Nov.

Dec.

Jan.

Feb. Mar. Apr

.M

ayJu

ne

5/10

/201

0

6/25

/201

0

2010

Page 5: Christian N. Koyama University of Cologne IGARSS 2011 Vancouver, July 26 Soil Moisture Retrieval Under Vegetation Using Dual Polarized PALSAR Data Christian.

Christian N. KoyamaUniversity of CologneIGARSS 2011Vancouver, July 26

ALOS PALSAR FBD343 Level 1.1

Multi-looking

Coregistration + Generic Filtering

Terrain Geocoding

Radiometric Calibration

HH Power Image HV Power Image

[C2] Matrix Elements Processing

Multi-Looking

H/A/Alpha Decomposition

Covariance [C2] Matrix Elements

H A alpha span

Geocoding

σ0HH σ0

HV

SIMPLIFIED PROCESSING CHAIN(basic processing and polarimetric decomposition of FBD343)

- 05 -

Page 6: Christian N. Koyama University of Cologne IGARSS 2011 Vancouver, July 26 Soil Moisture Retrieval Under Vegetation Using Dual Polarized PALSAR Data Christian.

Christian N. KoyamaUniversity of CologneIGARSS 2011Vancouver, July 26

2008-06-02 2008-07-18 2009-07-21

0 200 400100

Meters0 200 400

MetersDual-pol α/H/span-HSV

(H = alpha / S = entropy / V = span)

Christian N. KoyamaUniversity of CologneIGARSS 2011Vancouver, July 26

Page 7: Christian N. Koyama University of Cologne IGARSS 2011 Vancouver, July 26 Soil Moisture Retrieval Under Vegetation Using Dual Polarized PALSAR Data Christian.

Christian N. KoyamaUniversity of CologneIGARSS 2011Vancouver, July 26

Thatch

Matrix soil

Grass canopy

- 7 -THATCH LAYER EFFECT

Page 8: Christian N. Koyama University of Cologne IGARSS 2011 Vancouver, July 26 Soil Moisture Retrieval Under Vegetation Using Dual Polarized PALSAR Data Christian.

Christian N. KoyamaUniversity of CologneIGARSS 2011Vancouver, July 26

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 10

10

20

30

40

50

60

70

80

90

entropy

alp

haa

ng

le[d

eg

.]

?

2009-07-21

mv = 37.9 / SD = 4.4

2009-07-21

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 10

10

20

30

40

50

60

70

80

90

entropy

alp

haa

ngle[deg

.]

?

2008-06-02

mv = 34.5 / SD = 3.4

2008-06-02

Alp

ha [d

eg.]

Entropy

Alp

ha [d

eg.]

Entropy

mv = 37.9

SD = 4.4

mv = 34.5

SD = 3.4

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 10

10

20

30

40

50

60

70

80

90

entropy

alp

haa

ng

le[d

eg

.]

?

2008-05-04

mv = 51.1 / SD = 4.2

2008-05-04

mv = 51.1

SD = 4.2

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 10

10

20

30

40

50

60

70

80

90

entropy

alp

haa

ng

le[d

eg

.]

?

2007-09-17

mv = 48.7 / SD = 4.9mv = 48.7

SD = 4.9

2007-09-17

GRASSLAND H2α PLANES

Alp

ha [d

eg.]

Entropy

Alp

ha [d

eg.]

Entropy

- 8 -

Cloude, S.R. (2007): “The Dual Polarisation Entropy/Alpha Decomposition: A PALSAR Case Study, “ In Proceedings of PolInSAR 2007.

Page 9: Christian N. Koyama University of Cologne IGARSS 2011 Vancouver, July 26 Soil Moisture Retrieval Under Vegetation Using Dual Polarized PALSAR Data Christian.

Christian N. KoyamaUniversity of CologneIGARSS 2011Vancouver, July 26

0

000

11 hh

hvhvspanA

hhHERBA AH

HAH

- 9 -EMPIRICAL GRASSLAND PARAMETER MODEL

Page 10: Christian N. Koyama University of Cologne IGARSS 2011 Vancouver, July 26 Soil Moisture Retrieval Under Vegetation Using Dual Polarized PALSAR Data Christian.

Christian N. KoyamaUniversity of CologneIGARSS 2011Vancouver, July 26

4748.032.169' HERBA

- 10 -GRASSLAND SOIL MOISTURE ESTIMATION

Page 11: Christian N. Koyama University of Cologne IGARSS 2011 Vancouver, July 26 Soil Moisture Retrieval Under Vegetation Using Dual Polarized PALSAR Data Christian.

Christian N. KoyamaUniversity of CologneIGARSS 2011Vancouver, July 26

SURFACE SOIL MOISTURE DISTRIBUTION 25 75mv [Vol.-%]

Ü

0 10050m

Sigma Nought

mv_20070802

Value

High : 75

Low : 25

Ü

0 10050m

Sigma Nought

Ü

0 10050m

Sigma Nought

mv_20070917

Value

High : 75

Low : 25

2007-08-02 2007-09-17

Christian N. KoyamaUniversity of CologneIGARSS 2011Vancouver, July 26

Page 12: Christian N. Koyama University of Cologne IGARSS 2011 Vancouver, July 26 Soil Moisture Retrieval Under Vegetation Using Dual Polarized PALSAR Data Christian.

Christian N. KoyamaUniversity of CologneIGARSS 2011Vancouver, July 26

Conclusions• L-band dual-pol SAR has the potential to correct for

disturbing effects occurring in grassland ecosystems without

the use of a priori knowledge

• The retrieval algorithm is suitable to account for varying

effects of vegetation and thatch

• The thatch layer is the major source of attenuation

• At L-band the amount of above ground grass biomass and its

geometric properties can be neglected if <2 kg/m²

CONCLUSIONS - 12 -

Page 13: Christian N. Koyama University of Cologne IGARSS 2011 Vancouver, July 26 Soil Moisture Retrieval Under Vegetation Using Dual Polarized PALSAR Data Christian.

Christian N. KoyamaUniversity of CologneIGARSS 2011Vancouver, July 26

Thank you for your attention.

Acknowledgements The authors thank the Japan Aerospace Exploration Agency (JAXA) and the European Space Agency (ESA) for the provision of ALOS PALSAR data through their PI programme (AOALO.3570). Financial support by the SFB/TR32 "Patterns in Soil-Vegetation-Atmosphere Systems" funded by the German Research Foundation (DFG) is gratefully acknowledged.

[email protected]

- 13 -

Page 14: Christian N. Koyama University of Cologne IGARSS 2011 Vancouver, July 26 Soil Moisture Retrieval Under Vegetation Using Dual Polarized PALSAR Data Christian.

Christian N. KoyamaUniversity of CologneIGARSS 2011Vancouver, July 26

2009-07-21

0 200 400100

Meters0 200 400

MetersDual-pol Pauli-RGB

(R = C22 / G = C11-2xC12r+C22 / B = C11)

Ü

0 10050m

Sig ma Nought

Ü

0 10050m

Sig ma Nought

2009-07-212009-07-21

Christian N. KoyamaUniversity of CologneIGARSS 2011Vancouver, July 26

Page 15: Christian N. Koyama University of Cologne IGARSS 2011 Vancouver, July 26 Soil Moisture Retrieval Under Vegetation Using Dual Polarized PALSAR Data Christian.

Christian N. KoyamaUniversity of CologneIGARSS 2011Vancouver, July 26

Christian N. KoyamaUniversity of CologneIGARSS 2011Vancouver, July 26

Surface Soil Moisture Distribution 25 75mv [Vol.-%]

Ü

0 10050m

Sigma Nought

mv_20080504

Value

High : 75

Low : 25

Ü

0 10050m

Sigma Nought

mv_20080602

Value

High : 75

Low : 25

Ü

0 10050m

Sigma Nought

mv_20080619

Value

High : 75

Low : 25

2008-05-04 2008-06-02 2008-06-19

Page 16: Christian N. Koyama University of Cologne IGARSS 2011 Vancouver, July 26 Soil Moisture Retrieval Under Vegetation Using Dual Polarized PALSAR Data Christian.

Christian N. KoyamaUniversity of CologneIGARSS 2011Vancouver, July 26

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Page 17: Christian N. Koyama University of Cologne IGARSS 2011 Vancouver, July 26 Soil Moisture Retrieval Under Vegetation Using Dual Polarized PALSAR Data Christian.

Christian N. KoyamaUniversity of CologneIGARSS 2011Vancouver, July 26

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Page 18: Christian N. Koyama University of Cologne IGARSS 2011 Vancouver, July 26 Soil Moisture Retrieval Under Vegetation Using Dual Polarized PALSAR Data Christian.

Christian N. KoyamaUniversity of CologneIGARSS 2011Vancouver, July 26

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Page 19: Christian N. Koyama University of Cologne IGARSS 2011 Vancouver, July 26 Soil Moisture Retrieval Under Vegetation Using Dual Polarized PALSAR Data Christian.

Christian N. KoyamaUniversity of CologneIGARSS 2011Vancouver, July 26

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Page 20: Christian N. Koyama University of Cologne IGARSS 2011 Vancouver, July 26 Soil Moisture Retrieval Under Vegetation Using Dual Polarized PALSAR Data Christian.

Christian N. KoyamaUniversity of CologneIGARSS 2011Vancouver, July 26

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Page 21: Christian N. Koyama University of Cologne IGARSS 2011 Vancouver, July 26 Soil Moisture Retrieval Under Vegetation Using Dual Polarized PALSAR Data Christian.

Christian N. KoyamaUniversity of CologneIGARSS 2011Vancouver, July 26

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Christian N. KoyamaUniversity of CologneIGARSS 2011Vancouver, July 26

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