IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (Jan 2023)

Large-Scale Forest Height Mapping by Combining TanDEM-X and GEDI Data

  • Changhyun Choi,
  • Victor Cazcarra-Bes,
  • Roman Guliaev,
  • Matteo Pardini,
  • Konstantinos P. Papathanassiou,
  • Wenlu Qi,
  • John Armston,
  • Ralph O. Dubayah

DOI
https://doi.org/10.1109/JSTARS.2023.3244866
Journal volume & issue
Vol. 16
pp. 2374 – 2385

Abstract

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The present study addresses the development, implementation, and validation of a forest height mapping scheme based on the combination of TanDEM-X interferometric coherence and GEDI waveform measurements. The very general case where only a single polarisation TanDEM-X interferogram, a set of spatially discrete GEDI waveform measurements, and no DTM are available is assumed. The use of GEDI waveforms to invert the TanDEM-X interferometric measurements is described together with a set of performance criteria implemented to ensure a certain performance quality. The emphasis is set on developing a methodology able to invert forest height at large scales. Combining 595 TanDEM-X scenes and about 15 million GEDI waveforms, a spatially continuous 25-m resolution forest height map covering the whole of Tasmania Island is achieved. The derived forest height map is validated against an airborne lidar-derived canopy height map available across the whole island.

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