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    IGARSS2011-TDX_TandemL_v1.pdf IGARSS2011-TDX_TandemL_v1.pdf Presentation Transcript

    • Tandem-L: Estimation of Vertical Forest Structure by means ofMulti-Baseline Pol-InSAR @ L-band for Global Biomass MappingM. Padrini, A. Torano Caioya, S-K. Lee, F. Kugler, I. Hajnsek & K. PapathanassiouMicrowaves and Radar Institute (DLR-HR)German Aerospace Center (DLR) Microwaves and Radar Institute / Pol - InSAR Research Group
    • Interferometric ~( S S )   S1 S   2 S1 S2 γ 1 2 Coherence  S1 S1   S 2 S    2SAR Interferometry for Volume Structure hv  f ( z ) eik z z dz Volume ~ ( f ( z ))  eik z z o γ Vol o hv Coherence  f ( z ) dz f ( z) o f ( z ) … vertical reflectivity function ~~ γ γ Temporal γ SNR ~ Volume γ κΔ θ Vertical Wavenumber: κ z  sin( θ0 ) ~ γ Temporal … temporal decorrelation γ SNR … additive noise decorrelation ~ γ Volume … geometric decorrelation VU 2 > Autor Name Microwaves and Radar Institute Microwaves and Radar Institute > 30.05.2006
    • Interferometric ~( S S )   S1 S   2 S1 S2 γ 1 2 Coherence  S1 S1   S 2 S    2 hv  f ( z ) eik z z dz Volume ~ ( f ( z ))  eik z z o γ Vol o hv Coherence  f ( z ) dz f ( z) o f ( z )2 Layer reflectivity function … vertical Inversion Model  2 σ( z ) z    κΔ θ  κ iz ) ~V  m( w )  cos θ 0  f ( z)  f0 e   ~  m δ( z  z 0 )Vertical Wavenumber: φ0 γ G γ( w )  exp( sin( θ0() ) 1 m w hV   2 σ ( z ) z   mG (w )   cos θ dz I  exp(iκ z z ) exp m( w )   σ( z) has to be parameterisedCoherence  m V ( w )I0  0  Volume ~ I 0 Volume Height h V γV  hV I0  2 σ( z ) z  κΔ θ Topography φ0 I0  0  cos θ dz exp  0   κz  Microwaves and Radar Institute sin( θ0 ) G/V Ratio  m( w ) > Autor Name VU 3 Microwaves and Radar Institute > 30.05.2006
    • Traunstein Test Site Forest type Temperate Topography Moderate slopes 2003 Oct. Height 25 ~ 35m Species N. Spruce, E. Beech, White Fir Biomass 40 ~ 450 t/ha 50 40 30 20 10 HV Amplitude Image Pol-InSAR Forest Height Elevation Model 0m VU 4 > Autor Name Microwaves and Radar Institute Microwaves and Radar Institute > 30.05.2006
    • Traunstein Test Site 2003 Oct. 2008 June 50 40 30 20 10 0m VU 5 > Autor Name Microwaves and Radar Institute Microwaves and Radar Institute > 30.05.2006
    • Microwaves and Radar Institute Microwaves and Radar Institute > 30.05.2006
    • Source: Marc Simard, JPL,Microwaves and Radar Institute NASA 0 10 20 30 40 50 [m] 60 Microwaves and Radar Institute > 30.05.2006
    • -15 m -5 m Master 5 m 10 mTraunstein Test Site 50 40 30 20 10 LIDAR DTM SAR DTM (Relax) 0m VU 9 > Autor Name Microwaves and Radar Institute Microwaves and Radar Institute > 30.05.2006
    • -15 m -5 m Master 5 m 10 mTraunstein Test Site Bias: 0.1 m Bias: 0.2 m Std: 1.7 m Std: 2.8 m 50 40 30 20 10 LIDAR DTM SAR DTM (Relax) SAR – LIDAR DTM 0m Microwaves and Radar Institute Microwaves and Radar Institute > 30.05.2006
    • -15 m -5 m Master 5 m 10 m -15 m -5 m Master 5 m 10 mTraunstein Test Site LIDAR DTM SAR DTM (Relax) SAR DTM (Relax) VU 11 > Autor Name Microwaves and Radar Institute Microwaves and Radar Institute > 30.05.2006
    • -15 m -5 m Master 5 m 10 m -15 m -5 m Master 5 m 10 mTraunstein Test Site Small Baselines / Large Baselines Small Baselines / Large Baselines Bias: 0.1 Bias: 1 m Std: 2.2 Std: 3.1 m Bias: 0.1 Bias: -1.3 m Std: 2.6 Std: 6.0 m LIDAR DTM SAR DTM (Relax) SAR DTM (Relax) VU 12 > Autor Name Microwaves and Radar Institute Microwaves and Radar Institute > 30.05.2006
    • Traunstein Test Site X-band 2003 Oct. Phase Center Height 50 40 30 20 10 0m VU 13 > Autor Name Microwaves and Radar Institute Microwaves and Radar Institute > 30.05.2006
    • Polarimetric Coherence Tomography f ( z ) … vertical reflectivity function hv  f ( z ) eik z z dz Volume ~ ( f ( z ))  eik z z o γ Vol o hvCoherence  f ( z ) dz f ( z) o f ( z ) … vertical reflectivity function κΔ θ f(z) Vertical Wavenumber: κz  sin( θ0 ) hv hv k zh v 1 k zh v h i i z    (1  f ( z )) ik z z ik z z f ( z) e dz f (z) e dz  v e 2 e 2 dz ~ ( f ( z))  eik z zo o 0 2 1γ Vol hv hv 1 h  f ( z) dz  f ( z ) dz  v 2  (1  f ( z )) dz o 0 1 1 2n  1 Fourier Legendre Series: f ( z )   anPn (z ) Microwaves and Radar Institute where an  2  f ( z )VUn14 zAutor Name P ( > )dz n 1 Microwaves and Radar Institute > 30.05.2006
    • 690 Topo Height [m] Vertical Forest Profile Reconstruction Mixed Forest Stand570 Mature Spruce Stand Topo Height [m] PCT Reconstruction from 2 Baselines 570Height H f(z) a0 a1 a2 a3 Test site: Traunstein, Germany, L-band @ HVand Radar Institute Microwaves Polarisation Microwaves and Radar Institute > 30.05.2006
    • Structure-to-Biomass Allometry B = la * 1.66 H 1 . 50 H 3 B = 3.11  a P(z ) i =0 j =1 j j i  Height (m) Biomass Mg/ha f (z) a0 a1 a2 a3 z xy Microwaves and Radar Institute Microwaves and Radar Institute > 30.05.2006
    • Microwaves and Radar Institute Microwaves and Radar Institute > 30.05.2006
    • SummaryMulti-Baseline (Single-Pass) Polarimetric SAR Interferometry: Accurate (<10%) estimation of forest top height at high spatial resolutions (20-50m Grid); Estimation of Ground DEM – Removal of Vegetation Bias; Resolving low frequency vertical forest structure using by a “realistic” number of acqisitions.Above ground forest Biomass: Structure based (AG) Biomass estimators promise accuracy & stability across very different forest conditions; Mapping of “radar” structure to biomass structure has to be resolved. VU 19 > Autor Name Microwaves and Radar Institute Microwaves and Radar Institute > 30.05.2006
    • Tandem-L: Estimation of Vertical Forest Structure by means ofMulti-Baseline Pol-InSAR @ L-band for Global Biomass MappingM. Padrini A. Torano Caioya, S-K. Lee, Florian Kugler, Irena Hajnsek & K. PapathanassiouMicrowaves and Radar Institute (DLR-HR)German Aerospace Center (DLR) Microwaves and Radar Institute / Pol - InSAR Research Group