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Forest Parameter Estimation using Polarimetric SAR Interferometry. K. P. Papathanassiou German Aerospace Establishment Institute for Radio Frequency Technology and Radar Systems Oberpfaffenhofen, P.O. 11 16, D-82234 Wessling, Germany Tel./Fax.: ++49-(0)8153-28-2367/1149

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Forest parameter estimation using polarimetric sar interferometry

Forest Parameter Estimation using Polarimetric SAR Interferometry

K. P. Papathanassiou

German Aerospace Establishment

Institute for Radio Frequency Technology and Radar Systems

Oberpfaffenhofen, P.O. 11 16, D-82234 Wessling, Germany

Tel./Fax.: ++49-(0)8153-28-2367/1149

Email: [email protected]


Backscattering coefficient vs interferometric coherence
Backscattering Coefficient vs. Interferometric Coherence Interferometry

L-band: HV Channel

L-band: Interferometric Coherence RGB


Conclusion 1
Conclusion 1 Interferometry

Interferometric observables are significantly more sensitive to forest structure

and are therefore required for

accurate above ground forest biomass estimation


Forest height and biomass estimation
Forest Height and Biomass Estimation Interferometry

Conventional Biomass Estimation based on Backscatter Saturation:

Biomass

Saturation Limit

% of Earths

Vegetated Area

% of Total

Biomass Stock

[T/ha] [Kg/(m^2)]

4%

8%

20%

80%

20

40

100

250

350

2

4

10

25

35

25%

35%

60%

75%

C-band

L-band

P-band

Tree Height

and

Underlying Topography

+

Forest Structure

+

(Species)

Biomass Estimators based on SBPI or MBPI:

M. L. Imhoff, “Radar Backscatter and Biomass Saturation: Ramifications for Global Biomass Inventoty ”,IEEE TGARS, Vol. 33, No. 2, March 1995


Tree Height Estimation Interferometry

E-SAR / Test Site: Oberpfafenhoffen

SAR Image

HH

SAR Image / HV

IR Image


Interferometric Aproaches for Tree Height Estimation Interferometry

Required tree height estimation accuracy: 5-10%

Mean forest height on Earth: 20m -> Height Accuracy: 1-2m

Single Baseline Dual Frequency Interferometry (X- and P-band):

Underestimated tree height estimates or ill-conditioned inversion problem

+

Limitation due to temporal decorrelation in repeat-pass implementation

Single-Baseline Polarimetric Interferometry (L- or P-band):

Estimation of tree heights and ground topography within the required range

+

Temporal decorrelation is not so severe at lower frequencies

Multi-Baseline Polarimetric Interferometry (L- or P-band)

Additional to tree height and ground topography also forest structure estimation

+

Compensation of temporal decorrelation with inversion algorithms


Conclusion 2
Conclusion 2 Interferometry

Coherent fully polarimetric systems are the best option

for accurate above ground forest biomass estimation


Which is the optimum frequency band
Which is the optimum frequency band ??? Interferometry

C-band

Pro:

Established Technology

Contra:

Penetration Capability

Temporal Decorrelation

L-band

Pro:

Established Technology

Penetration Capability

Wide Spectrum of Applications

Contra:

Long Term

Temporal Decorrelation

Open Question:

Does L-band see the ground

in tropical forest???

P-band

Pro:

Penetration Capability

in Tropical Forest

Contra:

Spatial Resolution

Non-Established Technology

Limited Application

Spectrum


JERS-I L-Band SAR Mosaic of River Amazon 1995 Interferometry

L-band

JERS-I / Test Site: Amazon Basin, Brasil

af1203

cf0402

Courtesy of NASDA


Spaceborne bistatic scenario cartweel configuration

Radar illuminator (€ € €) Interferometry

e.g. ALOS, TerraSAR, Radarsat II

Receive-only micro satellites (€)

e.g. “CartWheel” configuration

Spaceborne Bistatic Scenario: CartWeel Configuration


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