Classification of Typhoon-Destroyed Forests Based on Tree Height Change Detection Using InSAR Technology IGARSS 2011 Haipe...
<ul><li>The final goal is to establish methodology to estimate the parameters of </li></ul><ul><li>forests from high-resol...
Tomakomai National Forests Shikotsu Lake Larch Todo Fir Red Pine Spruce
Pi-SAR Pi-SAR  ( P olarimetric  i nterferometric -  SAR ) is an airborne SAR developed jointly by NICT (National Institute...
Pi-SAR Data JAXA/NICT L-band colour composite polarimetric Pi-SAR image azimuth range study area Shikotsu Lake Tomakomai C...
Ground-Truth Biomass Data Collection Field measurements were made in 2002, 2003, 2005, and in 2006. Tree species, height, ...
Typhoon Songda Typhoon Songda (Japanese No.18) Duration:August 28 – September 8  Typhoon Songda killed 20 people and injur...
Fallen Trees After Typhoon
Ground-Truth Data
Amplitude Analysis Test sites Whole image Image No. HH HV VV L6407 67.1119 64.3982 66.1515 L8104 66.6437 64.4475 66.7929 L...
Amplitude Analysis Results Accuracy:64.1%
Scattering Mechanisms From Forests sc attering from  crown parts surface scattering from ground multiple reflection  betw ...
Three-Component Decomposition Analysis A. Freeman and S. L. Durden, “A three-component scattering model for polarimetric S...
Scattering Mechanism Analysis Result Accuracy:77.7%
Pi-SAR L-band antenna X-band main antenna X-band  sub-antenna Pi-SAR on Gulf Stream II X-band and L-band radomes Two anten...
Pi-SAR Data for Interferometric Analysis X-band VM Pi-SAR image Data acquired:3 rd , August, 2004 Data acquired:3rd, Novem...
M ,  N  ——  Moving window size S  ——  Data Complex Interferogram Complex Degree of Coherence
Phase Image
Removal of Orbital Fringes   Court esy of Dr. Moriyama X7904 X8104
Phase Unwrapping(X7904)
Phase Unwrapping(X8104)
Height Change
Conclusions  and Future Work Research was carried out to extract information of typhoo-damaged forests. The accuracies of ...
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CLASSIFICATION OF TYPHOON-DESTROYED FORESTS BASED ON TREE HEIGHT CHANGE DETECTION USING INSAR TECHNOLOGY.ppt

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  • Pi-SAR was developed jointly by NICT (National Information &amp; Communication Agency) and JAXA (Japan Aerospace Exploration Agency), consisting of two X-band radomes and a single L-band radome. the X-band main radome consists of two antennas. The first antenna is used for H-polarization and the second antenna for V-polarization. The sub-radome was not used for the Naruto data collection. The two antennas inside the first radome is separated by d=20cm, and therefore polarimetric interferometric analysis can be made. It is not, however, full Pol-InSAR, because we only have HH1, HV1, and VV2 data.
  • CLASSIFICATION OF TYPHOON-DESTROYED FORESTS BASED ON TREE HEIGHT CHANGE DETECTION USING INSAR TECHNOLOGY.ppt

    1. 1. Classification of Typhoon-Destroyed Forests Based on Tree Height Change Detection Using InSAR Technology IGARSS 2011 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. 2. Department of Computer Science National Defense Academy of Japan, Japan.
    2. 2. <ul><li>The final goal is to establish methodology to estimate the parameters of </li></ul><ul><li>forests from high-resolution SAR data. </li></ul><ul><li>This first study we carried out is to quantify the relation between </li></ul><ul><li>high-resolution polarimetric SAR data and tree biomass of forests. </li></ul><ul><li>This second one is to extract the information of typhoon-damaged forests. </li></ul><ul><li>The methodology is to utilize the texture information, polarimetric analysis </li></ul><ul><li>and interferometric technique. </li></ul><ul><li>The test site is the Tomakomai forests in Hokkaido, Japan. </li></ul><ul><li>The SAR data were collected using the airborne Pi-SAR. </li></ul>Purpose of T his S tudy
    3. 3. Tomakomai National Forests Shikotsu Lake Larch Todo Fir Red Pine Spruce
    4. 4. Pi-SAR Pi-SAR ( P olarimetric i nterferometric - 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. L-band antenna X-band main antenna X-band sub-antenna
    5. 5. Pi-SAR Data JAXA/NICT L-band colour composite polarimetric Pi-SAR image azimuth range study area Shikotsu Lake Tomakomai City Tarumae Mt. study area Data acquired:7 th , November, 2002 Data acquired:3rd, November, 2004 azimuth range
    6. 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. 7. Typhoon Songda 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
    8. 8. Fallen Trees After Typhoon
    9. 9. Ground-Truth Data
    10. 10. Amplitude Analysis Test sites Whole image Image No. HH HV VV L6407 67.1119 64.3982 66.1515 L8104 66.6437 64.4475 66.7929 L6407-L8104 0.4682 -0.0493 -0.6414 Site No. HH subtraction HV subtraction VV subtraction 196 0.8403 0.6001 -0.2851 197 0.9535 0.5802 -0.2825 198 0.8714 0.3279 -0.5437 217&218 0.8619 0.4444 -0.2188 243 0.8975 0.4549 -0.2435 245 0.9827 0.3009 -0.2797 267 0.9856 0.4899 -0.0584 271 0.8962 0.4392 -0.5062 300 0.8269 0.4759 -0.0099 302 0.7889 0.3169 -0.2331 268 0.6641 0.0218 -0.4429 303 0.5009 -0.0223 -0.6568
    11. 11. Amplitude Analysis Results Accuracy:64.1%
    12. 12. Scattering Mechanisms From Forests sc attering from crown parts surface scattering from ground multiple reflection betw een ground and tree trunks/branches multiple/volume scattering from branches X/C-bands L/P-bands
    13. 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. Site No. Double subtraction Volume subtraction Surface subtraction 196 14.1248 1.1277 -22.1597 197 38.2798 1.0917 -39.4679 198 39.1910 0.4771 -34.9405 217&218 35.4332 0.7719 -32.1722 243 37.5858 0.7808 -34.0847 245 37.6906 0.4519 -25.9017 267 37.1895 0.9402 -32.4539 271 28.2527 0.8799 -27.4304 300 31.7851 0.8673 -31.1892 302 35.5875 0.4366 -27.3383 268 32.7751 -0.1122 -17.6746 303 33.6438 -0.2045 -27.5287 Double Volume Surface L6407 102.0232 138.2508 63.4812 L8104 74.4862 138.4537 83.7599 L6407-L8104 27.5449 -0.2026 -20.2847
    14. 14. Scattering Mechanism Analysis Result Accuracy:77.7%
    15. 15. Pi-SAR L-band antenna X-band main antenna X-band sub-antenna Pi-SAR on Gulf Stream II X-band and L-band radomes Two antennas within X-band main radome Partial Pol-InSAR by X-band main radome (Sub-antenna data not acquired this time)
    16. 16. Pi-SAR Data for Interferometric Analysis X-band VM Pi-SAR image Data acquired:3 rd , August, 2004 Data acquired:3rd, November, 2004
    17. 17. M , N —— Moving window size S —— Data Complex Interferogram Complex Degree of Coherence
    18. 18. Phase Image
    19. 19. Removal of Orbital Fringes Court esy of Dr. Moriyama X7904 X8104
    20. 20. Phase Unwrapping(X7904)
    21. 21. Phase Unwrapping(X8104)
    22. 22. Height Change
    23. 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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