SadeghiSt-OngeLeblonEtAl2014

Reference

Sadeghi, Y., St-Onge, B., Leblon, B., Simard, M., Papathanassiou, K. (2014) Mapping forest canopy height using TanDEM-X DSM and airborne LiDAR DTM. In International Geoscience and Remote Sensing Symposium (IGARSS). Pages 76-79. (Scopus )

Abstract

This study assesses the potential of single-pass TanDEM-X interferometric SAR (InSAR) data to map forest canopy height, when a corresponding accurate digital terrain model (DTM) is available. In the proposed method, the forest canopy height model (CHM) is extracted by subtracting an airborne lidar DTM from the TanDEM-X digital surface model (DSM). We showed that the TanDEM-X coherence is influenced by local incidence angles and tree basal area. These factors should be taken into account when estimating forest canopy height using TanDEM-X combined to lidar data.

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@INPROCEEDINGS { SadeghiSt-OngeLeblonEtAl2014,
    AUTHOR = { Sadeghi, Y. and St-Onge, B. and Leblon, B. and Simard, M. and Papathanassiou, K. },
    TITLE = { Mapping forest canopy height using TanDEM-X DSM and airborne LiDAR DTM },
    YEAR = { 2014 },
    PAGES = { 76-79 },
    NOTE = { cited By 0 },
    ABSTRACT = { This study assesses the potential of single-pass TanDEM-X interferometric SAR (InSAR) data to map forest canopy height, when a corresponding accurate digital terrain model (DTM) is available. In the proposed method, the forest canopy height model (CHM) is extracted by subtracting an airborne lidar DTM from the TanDEM-X digital surface model (DSM). We showed that the TanDEM-X coherence is influenced by local incidence angles and tree basal area. These factors should be taken into account when estimating forest canopy height using TanDEM-X combined to lidar data. },
    ART_NUMBER = { 6946359 },
    AUTHOR_KEYWORDS = { Canopy height model (CHM); InSAR; SAR; TanDEM-X; TanDEM-X-Lidar CHM },
    CODEN = { IGRSE },
    DOCUMENT_TYPE = { Conference Paper },
    DOI = { 10.1109/IGARSS.2014.6946359 },
    ISBN = { 9781479957750 },
    JOURNAL = { International Geoscience and Remote Sensing Symposium (IGARSS) },
    SOURCE = { Scopus },
    URL = { http://www.scopus.com/inward/record.url?eid=2-s2.0-84911411166&partnerID=40&md5=3a80cb4d099fa84ca199780b6725acb5 },
}

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