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IGARSS 2011

IGARSS 2011. Classification of Typhoon-Destroyed Forests Based on Tree Height Change Detection Using InSAR Technology. Haipeng Wang 1 , Kazuo Ouchi 2 , and Ya-Qiu Jin 1 1. Key Laboratory of Wave Scattering and Remote Sensing Fudan University, P.R. China.

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IGARSS 2011

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  1. IGARSS 2011 Classification of Typhoon-Destroyed Forests Based on Tree Height Change Detection Using InSAR Technology Haipeng Wang 1, Kazuo Ouchi 2, and Ya-Qiu Jin1 1. Key Laboratory of Wave Scattering and Remote Sensing Fudan University, P.R. China. 2. Department of Computer Science National Defense Academy of Japan, Japan.

  2. Purpose of This Study • The final goal is to establish methodology to estimate the parameters of • forests from high-resolution SAR data. • This first study we carried out is to quantify the relation between • high-resolution polarimetric SAR data and tree biomass of forests. • This second one is to extract the information of typhoon-damaged forests. • The methodology is to utilize thetexture information, polarimetric analysis • and interferometric technique. • The test site is the Tomakomai forests in Hokkaido, Japan. • The SAR data were collected using the airbornePi-SAR.

  3. Spruce Todo Fir Red Pine Larch Shikotsu Lake Tomakomai National Forests

  4. X-band main antenna X-band sub-antenna L-band antenna Pi-SAR (Polarimetric interferometric - SAR) is an airborne SAR developed jointly by NICT (National Institute of Information and Communications Technology) and JAXA (Japan Aerospace Exploration Agency). It is equipped with two X-band antennas (frequency 9.55 GHz, wavelength 3.14 cm) and a L-band antenna operating at frequency 1.27 GHz (wavelength 23.6 cm). The nominal resolution is 1.5 x 1.5 m at X-band, and 3 x 3 m at L-band for 4-look azimuth multilooking. Pi-SAR

  5. L-band colour composite polarimetric Pi-SAR image Shikotsu Lake study area Pi-SAR Data Tomakomai City range Tarumae Mt. azimuth JAXA/NICT Data acquired:7th, November, 2002 range azimuth study area Data acquired:3rd, November, 2004

  6. Ground-Truth Biomass Data Collection Field measurements were made in 2002, 2003, 2005, and in 2006. Tree species, height, DBH (Diameter at Breast Height), basal area, soil moisture were measured within a 20 x 20 m sample area in each stands, and converted to above-ground biomass using the conversion formula provided by Project department (Stand volume table -East Japan-, Japan Forestry Investigation Committee. Tokyo: Forestry Agency, Oct. 1998)

  7. Typhoon Songda (Japanese No.18) Duration:August 28 – September 8 Typhoon Songda killed 20 people and injured 700 others in Japan. In addition, 15 crew members of a vessel were reported missing. Damages from the storm amounted to $7.17 billion (2004 USD) Time arrived at Tomakomai: September 7th, 2004 Typhoon Songda

  8. Fallen Trees After Typhoon

  9. Ground-Truth Data

  10. Amplitude Analysis Whole image Test sites

  11. Amplitude Analysis Results Accuracy:64.1%

  12. Scattering Mechanisms From Forests X/C-bands multiple reflection between ground and tree trunks/branches L/P-bands scattering from crown parts multiple/volume scattering from branches surface scattering from ground

  13. Three-Component Decomposition Analysis A. Freeman and S. L. Durden, “A three-component scattering model for polarimetric SAR data,” IEEE Trans. Geosci. Remote Sens., vol. 36, no. 3, pp. 936–973, May 1998.

  14. Scattering Mechanism Analysis Result Accuracy:77.7%

  15. X-band main antenna Pi-SAR X-band sub-antenna L-band antenna Pi-SAR on Gulf Stream II X-band and L-band radomes Partial Pol-InSAR by X-band main radome (Sub-antenna data not acquired this time) Two antennas within X-band main radome

  16. X-band VM Pi-SAR image Pi-SAR Data for Interferometric Analysis Data acquired:3rd, August, 2004 Data acquired:3rd, November, 2004

  17. Complex Interferogram Complex Degree of Coherence M, N —— Moving window size S —— Data

  18. Phase Image

  19. X7904 X8104 Courtesy of Dr. Moriyama Removal of Orbital Fringes

  20. Phase Unwrapping(X7904)

  21. Phase Unwrapping(X8104)

  22. Height Change

  23. Conclusions and Future Work Research was carried out to extract information of typhoo-damaged forests. The accuracies of 64.1% and 77.7% were obtained for amplitude and decomposition data respectively. InSAR processing resutls show it’s potential, but there is no quantitative results yet. Phase unwrapping: other approaches rather than the branch cut. Difficult to see the difference of typhoon-damaged information from the coherence data before and after the typhoon. Next step is to exam the coherence before and after the typhoon Fusion of optical data and SAR data: QuickBird, IKONOS, Geoeye multispectrum optical data, Pi-SAR I&II data.

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