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

Authors :
Chen, Hao
Beaudoin, André
Hill, David A.
Cloude, Shane R.
Skakun, Rob S.
Marchand, Maryse
Source :
Canadian Journal of Remote Sensing. Jun-Aug2019, Vol. 45 Issue 3/4, p290-307. 18p.
Publication Year :
2019

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
07038992
Volume :
45
Issue :
3/4
Database :
Academic Search Index
Journal :
Canadian Journal of Remote Sensing
Publication Type :
Academic Journal
Accession number :
139117859
Full Text :
https://doi.org/10.1080/07038992.2019.1604119