This site requires Cookies enabled in your browser for login.
WaterNet Home
WaterNet
for
pour le
Canada
Menu
WaterNet
Home
GWFO
Home
Master
List
Data
Centre
Collections
X
Defaults
Select All
Websites
X
Global Water Futures Observatories (GWFO) Global Water Futures (GWF) Global Institute for Water Security (GIWS) International Network of Alpine Research Catchment Hydrology
Legacy Research Programs
X
Changing Cold Regions Network (CCRN) Drought Research Initiative (DRI) International Network of Alpine Research Catchment Hydrology (Legacy Site) Improving Processes & Parameterization for Prediction in Cold Regions Hydrology (IP3) The Mackenzie Global Energy and Water Cycle Experiment (GEWEX) Study (MAGS)
Legacy sites
Map
Utilities
X
Account Settings Metadata Editor Record List Alias List Editor
Data Centre
Data Type Editor
. . .
X
Clear
Select All
Advanced Search
Related items loading ...
Fetching Chart ...
Publication Additional Information Download
Publication Type
Journal Article
Authorship
Chu, T., Das, A. and Lindenschmidt, K.-E
Title
RADARSAT-2 based digital elevation models derived from InSAR for high latitudes of northern Canada
Year
2017
Publication Outlet
Journal of Applied Remote Sensing 11(3): 035013
DOI
http://dx.doi.org/10.1117/1.JRS.11.035013
Citation
Thuan Chu, Apurba Das, and Karl-Erich Lindenschmidt "RADARSAT-2-based digital elevation models derived from InSAR for high latitudes of northern Canada," Journal of Applied Remote Sensing 11(3), 035013 (5 September 2017). https://doi.org/10.1117/1.JRS.11.035013 Received: 29 May 2017; Accepted: 16 August 2017; Published: 5 September 2017
Abstract
The accuracy of digital elevation models (DEMs) plays an important role in many terrain-related applications, particular in high northern latitudes where there is uncertainty in DEMs. Using the interferometric synthetic aperture radar techniques, this study examined how different RADARSAT-2 beam modes can be used to generate DEMs with high accuracy. Using a conventional interferometry method, the Spotlight DEM shows the highest accuracy among all studied DEM products, with the root-mean-square error (RMSE) ranging from 13.9 to 17.4 m, followed by the F0W3 DEM and U26W2 DEM. The error sources in DEM generation due to uncertainty in perpendicular baseline and atmospheric delay are likely more important than the random phase noise caused by volume scattering and environmental changes during synthetic aperture radar (SAR) acquisitions. The small baselines subset (SBAS) method did not significantly improve DEM quality due to the limitation of the number of SAR images in this study. The integration of both Spotlight conventional DEMs and SBAS DEM considerably improved results yielding high-quality DEMs for the study area, with an RMSE of 9.7 m. Further studies are necessary to quantitatively evaluate the effects of surface motion as well as the orbital and atmospheric errors on the DEM accuracy. The Slave River Delta in the Northwest Territories of Canada was used as a test case.
Program Affiliations
GWF: Global Water Futures
Publication Stage
Published
Additional Information
noproject,submitted
© 2026 - WaterNet Version 2026-06-01
Global Water Futures Observatories
Powered by
G W F Net
T-2022-11-09-91ovxzl292NUSCYDsw92Q1cpg Publication 1.0