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Measuring landscape scale with ALSM data

Dept. of Earth and Planetary Science University of California, Berkeley perron@eps.berkeley.edu. Measuring landscape scale with ALSM data. J. Taylor Perron, James Kirchner and William Dietrich. NCALM. NSF-Supported Center for Airborne Laser Mapping. Problem.

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Measuring landscape scale with ALSM data

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  1. Dept. of Earth and Planetary Science University of California, Berkeley perron@eps.berkeley.edu Measuring landscape scale with ALSM data J. Taylor Perron, James Kirchner and William Dietrich NCALM NSF-Supported Center for Airborne Laser Mapping

  2. Problem • Landscapes are often strongly periodic at multiple scales • Explaining this phenomenon requires that we quantify it 200m Gabilan Mesa, Salinas Valley, CA Zabriskie Point, Death Valley 5m

  3. Applications (Why measure scale?) • Extract features of interest • Model testing ?

  4. 2-D Fourier transforms PSD (m4) Frequency (1/m)

  5. ~175m ~500m 4 km 2 km ALSM data: Gabilan Mesa, CA Acquired & processed in collaboration with NCALM staff at U. Florida

  6. ~500m ~175m Collapsed power spectrum

  7. Landscape is smooth Collapsed power spectrum

  8. Normalization technique

  9. 99% Significance Level Testing significance

  10. 99% Significance Level Testing significance

  11. Wavelength: 174 ± 13 m Orientation: 47° Significance level: 99.7% Wavelength: 480 ± 166 m Orientation: 141° Significance level: >> 99% Normalizing 2D spectra

  12. Application: filtering by significance 0%

  13. Application: filtering by significance 5%

  14. Application: filtering by significance 25%

  15. Application: filtering by significance 50%

  16. Application: filtering by significance 75%

  17. Application: filtering by significance 90%

  18. Application: filtering by significance 95%

  19. Application: filtering by significance 99%

  20. Application: Filtering by scale

  21. Application: Filtering by scale

  22. Application: Filtering by scale

  23. Local Relief Application: Filtering by scale

  24. Wavelength: 200 ± 11 m Orientation: 171° Significance level: 91% Wavelength: 480 ± 30 m Orientation: 90° Significance level: >> 99% Application 2: Model testing

  25. Conclusions • 2D spectral analysis is an objective means of identifying & analyzing periodic topographic features • ALSM provides spectral resolution & accuracy necessary to identify limit of landscape dissection

  26. Conclusions Applications: • Model testing • Filtering by scale, orientation, periodicity • Storage of large topographic datasets 100% of spectrum 7% of spectrum

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