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

Autor: Hao Chen, André Beaudoin, David A. Hill, Shane R. Cloude, Rob S. Skakun, Maryse Marchand
Jazyk: English<br />French
Rok vydání: 2019
Předmět:
Zdroj: Canadian Journal of Remote Sensing, Vol 45, Iss 3-4, Pp 290-307 (2019)
Druh dokumentu: article
ISSN: 1712-7971
07038992
DOI: 10.1080/07038992.2019.1604119
Popis: 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.
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