Estimation of forest biomass from L-band polarimetric decomposition components

Mihai A. Tanase, Rocco Panciera, Kim Lowell, Jorg Hacker, Jeffrey P. Walker

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    Using an airborne L-band system the impact of increased spatial resolution and a fully polarized sensor on biomass retrieval was investigated. A water cloud type model was used to retrieve biomass from backscatter intensities and polarimetric target decomposition components. The analysis revealed similar biomass estimation errors (around 60%) when using backscatter intensity and polarimetric decomposition metrics. These results indicate that fully polarized L-band missions would not significantly improve the accuracy of biomass estimation using existing modelling approaches. New methods, such as polarimetric interferometry, have to be perfected and tested over a wide range of conditions to take advantage of their increased capabilities.

    Original languageEnglish
    Title of host publication2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS
    PublisherIEEE
    Pages949-952
    Number of pages4
    ISBN (Electronic)978-1-4799-1114-1
    DOIs
    Publication statusPublished - 2013
    Event2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Melbourne, VIC, Australia
    Duration: 21 Jul 201326 Jul 2013

    Publication series

    NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
    ISSN (Print)2153-6996
    ISSN (Electronic)2153-7003

    Conference

    Conference2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013
    CountryAustralia
    CityMelbourne, VIC
    Period21/07/1326/07/13

    Keywords

    • Biomass estimation
    • L-band SAR
    • polarimetric target decomposition

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  • Cite this

    Tanase, M. A., Panciera, R., Lowell, K., Hacker, J., & Walker, J. P. (2013). Estimation of forest biomass from L-band polarimetric decomposition components. In 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS (pp. 949-952). [6721318] (International Geoscience and Remote Sensing Symposium (IGARSS)). IEEE. https://doi.org/10.1109/IGARSS.2013.6721318