SadeghiSt-OngeLeblonEtAl2017

Référence

Sadeghi, Y., St-Onge, B., Leblon, B. and Simard, M. (2017) Effects of TanDEM-X Acquisition Parameters on the Accuracy of Digital Surface Models of a Boreal Forest Canopy. Canadian Journal of Remote Sensing, 43(2):194-207. (Scopus )

Résumé

The accuracy of digital surface models (DSMs) derived from TanDEM-X interferograms of a dense and mostly evergreen boreal forest area was evaluated across 5 datasets acquired under various geometrical and phenological conditions. For each, an interferometric synthetic aperture radar (InSAR) canopy height model (CHM) was produced by subtracting a LiDAR digital terrain model from the TanDEM-X DSM. These InSAR CHMs were compared to a LiDAR CHM at a resolution of 25 m and led to biases from 0.77 to 1.56 m, r2 from 0.68 to 0.38, and root-mean-square errors (RMSEs) from 2.06 to 3.67 m. Two datasets acquired in similar conditions differed by 1.27 m (RMSE). Differences in the interferometric baseline had the strongest effect on the DSMs (RMSE of 3.27 m between short and long baseline DSMs). The height of ambiguity therefore had a significant effect on the resulting canopy height. The effect of phenological changes on canopy height estimations was lower (RMSE of 2.30 m between leaf-on and leaf-off DSMs) and not highly significant. These results indicate that, despite variations in the acquisition conditions, a continuous TanDEM-X mosaic acquired with proper baselines could produce a reliable estimate of canopy surface elevations of evergreen closed-canopy boreal forests. © 2017, Copyright © CASI.

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@ARTICLE { SadeghiSt-OngeLeblonEtAl2017,
    AUTHOR = { Sadeghi, Y. and St-Onge, B. and Leblon, B. and Simard, M. },
    TITLE = { Effects of TanDEM-X Acquisition Parameters on the Accuracy of Digital Surface Models of a Boreal Forest Canopy },
    JOURNAL = { Canadian Journal of Remote Sensing },
    YEAR = { 2017 },
    VOLUME = { 43 },
    NUMBER = { 2 },
    PAGES = { 194-207 },
    NOTE = { cited By 0 },
    ABSTRACT = { The accuracy of digital surface models (DSMs) derived from TanDEM-X interferograms of a dense and mostly evergreen boreal forest area was evaluated across 5 datasets acquired under various geometrical and phenological conditions. For each, an interferometric synthetic aperture radar (InSAR) canopy height model (CHM) was produced by subtracting a LiDAR digital terrain model from the TanDEM-X DSM. These InSAR CHMs were compared to a LiDAR CHM at a resolution of 25 m and led to biases from 0.77 to 1.56 m, r2 from 0.68 to 0.38, and root-mean-square errors (RMSEs) from 2.06 to 3.67 m. Two datasets acquired in similar conditions differed by 1.27 m (RMSE). Differences in the interferometric baseline had the strongest effect on the DSMs (RMSE of 3.27 m between short and long baseline DSMs). The height of ambiguity therefore had a significant effect on the resulting canopy height. The effect of phenological changes on canopy height estimations was lower (RMSE of 2.30 m between leaf-on and leaf-off DSMs) and not highly significant. These results indicate that, despite variations in the acquisition conditions, a continuous TanDEM-X mosaic acquired with proper baselines could produce a reliable estimate of canopy surface elevations of evergreen closed-canopy boreal forests. © 2017, Copyright © CASI. },
    AFFILIATION = { Institute of Environmental Sciences, Science Department, Université du Québec à Montréal (UQAM), Montréal, QC, Canada; Department of Geography, Université du Québec à  Montréal (UQAM), Montreal, QC, Canada; Faculty of Forestry and Environmental Management, University of New Brunswick, Fredericton, NB, Canada; Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, United States },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.1080/07038992.2017.1291336 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-85014767976&doi=10.1080%2f07038992.2017.1291336&partnerID=40&md5=670c02b3ba73bb00c5cde5e5e44e9340 },
}

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