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Temporal decorrelation analysis at P-band over tropical forest. Sandrine Daniel, Pascale Dubois-Fernandez, Aurélien Arnaubec, Sébastien Angelliaume. IGARSS 2011, Vancouver. Overview. TropiSAR Campaign Temporal coherence Methodology Paracou Analysis Tomography Conclusion.

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temporal decorrelation analysis at p band over tropical forest

Temporal decorrelation analysis at P-band over tropical forest

Sandrine Daniel, Pascale Dubois-Fernandez,

Aurélien Arnaubec, Sébastien Angelliaume

IGARSS 2011, Vancouver

overview
Overview
  • TropiSAR Campaign
  • Temporal coherence
    • Methodology
    • Paracou Analysis
  • Tomography
  • Conclusion
translating objectives into flight scenario
Translating objectives into flight scenario
  • TropiSAR objectives
    • Evaluate the BIOMASS mission concept over tropical forests
    • Provide a dataset for algorithm validation
  • Radiometric analysis
    • Reference plots with range of biomass in the high values
    • Up to 520 t/ha
  • Temporal decorrelation analysis
    • Identical trajectories flown on different dates (22 days)
  • PolInSAR
    • Vertically shifted trajectories (100ft and 50ft)
      • Adequate altitude of ambiguity throughout the swath
  • Tomography
      • Six vertically shifted trajectories
      • 0 ft, 50ft, 100ft, 150ft, 200ft, 250ft
tropisar the campaign
TropiSAR: the campaign

the in-situ database

CIRAD-EDB

- based on permanent plots managed by Guyafor project

- 28 plots – 157 ha

- 98200 measured trees, diameter > 10cm

- biomass ranging from 100t/ha to 500t + /ha

the SAR database

ONERA

- 7 flights over 22 days

the data analysis

- CESBIO: radiometry – polarimetry

- ONERA: PolInSAR

- IRD: Polarimetry

- EDB-CIRAD: in-situ error

+…..

Under fundings from ESA, CNES and ONERA

tropisar the sites
TropiSAR: the sites

Paracou

Arbocel

Nouragues

Rochambeau

Kaw

tropisar august 2009
TropiSAR: August 2009

22 days

Temporal decorrelation analysis - PolInSAR

Tomography - PolInSAR

database over paracou
Database over Paracou

Temporal Shift

Flight 6

Flight 4

Flight 1

Flight 2

Flight 3

Flight 5

Flight 0

Vertical Shift

interferometric coherence wrt temporal baseline
Interferometric coherence wrt temporal baseline

2 days

14 days

4 days

20 days

22 days

7 days

Presented at PolInSAR-2011

Objective: complete the temporal analysis

with all possible combinations

temporal coherence

Spectral shift

Negligible in airborne context

Temporal decorrelation

Scattering decorrelation

?

Temporal Coherence
  • Systematic methodology
    • InSAR Coherence

Noise decorrelation

  • RVoG model
temporal coherence1

Systematic methodology

InSAR Coherence

Temporal Coherence

Spectral shift

Negligible in airborne context

Temporal decorrelation

Scattering decorrelation

?

Noise decorrelation

temporal coherence paracou
Correct for SNR contribution

Compute coherence histogram over Rois f

Compute histogram peak forgmin>0.95

Temporal Coherence: Paracou

RGB Hh-Hv-Vv

temporal coherence paracou1
Temporal Coherence: Paracou
  • Paracou Analysis

0.96<gSNR<0.99

RGB Hh-Hv-Vv

ground elevation estimation under dense forest using p band t sar

RMSE = 4.4 m

-40m

5m

Ground elevation estimation under dense forest using P-band T-SAR

T-SAR : P-Hh, N=6, 21x21

P-Band,HhHvVv

LIDAR

conclusions
Conclusions
  • Temporal coherence analysis over tropical forests at P-Band
  • Systematic analysis was performed to explore if a decreasing trend was visible
  • The imperfect trajectories created artefacts in the analysis
  • A criteria based on the RVoG model was proposed to select areas with proper kz
  • No clear trend was observed and the temporal coherence remains high even for the longest temporal baselines
  • Ground elevation estimation under dense forest using P-band T-SAR
temporal decorrelation analysis at p band over tropical forest1

Temporal decorrelation analysis at P-band over tropical forest

Questions?!?

IGARSS 2011, Vancouver