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Analyzing Landscape Scale with Airborne Laser Swath Mapping Data: Insights from Gabilan Mesa

This study explores the periodicity of landscapes at multiple scales using Airborne Laser Swath Mapping (ALSM) data. Focusing on areas like Gabilan Mesa in California, we apply 2D spectral analysis to identify topographic features and assess model testing reliability. By implementing normalization techniques and significance level testing, we successfully extract meaningful landscape characteristics, aiding in understanding landscape dissection limits and enhancing storage of large topographic datasets. This research ultimately contributes valuable methods for quantifying landscape features.

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Analyzing Landscape Scale with Airborne Laser Swath Mapping Data: Insights from Gabilan Mesa

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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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