Canadian Journal of Remote Sensing (Jul 2019)

Mapping Forest Height from TanDEM-X Interferometric Coherence Data in Northwest Territories, Canada

  • Hao Chen,
  • André Beaudoin,
  • David A. Hill,
  • Shane R. Cloude,
  • Rob S. Skakun,
  • Maryse Marchand

DOI
https://doi.org/10.1080/07038992.2019.1604119
Journal volume & issue
Vol. 45, no. 3-4
pp. 290 – 307

Abstract

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In this paper, we demonstrate the feasibility of using TanDEM-X (TX) interferometric coherence data for mapping forest height with 25-m pixels across a study area near Fort Simpson, Northwest Territories (NWT), Canada. Our simplified RVOG model locally estimates forest height by combining an optimized estimation of TX interferometric coherence amplitude with the 20-m resolution Canadian Digital Elevation Model (CDEM) accounting for local slope variations. The initial map of TX height estimates provided R2 values of 0.78 and 0.88, mean errors (ME) of 1.66 m and 1.90 m, and root-mean-square errors (RMSE) of 2.7 m and 2.9 m when compared to independent height estimates derived from field plots and airborne LiDAR, respectively. We corrected the bias of TX height estimates using two variants of a LiDAR-based linear model. An application of three cover-specific linear adjustments provided the final TX height map with absolute ME ≤0.05 m and RMSE ≤2.09 m. The approach was tailored to poorly inventoried northern boreal regions through the use of archived TX data, the CDEM, a land cover map and airborne LiDAR transects. Our encouraging results support the perspective of wall-to-wall mapping of forest height across northern boreal forests in the NWT and beyond.