Forest biomass estimation using radar and lidar synergies

Siyuan Tian, Mihai A. Tanase, Rocco Panciera, J. Hacker, Kim Lowell

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

    Abstract

    This study investigates the improvement in above ground biomass estimates when using a synergistic model based on lidar derived forest structural information (i.e., canopy cover percentage) and radar backscatter. The results were cross-compared with a radar only model. A two-layered radar backscatter model was also tested. The results showed that lidar-based structural information has the potential to increase the accuracy of biomass estimation by up to 20% depending on polarization and acquisition date. A smaller improvement was observed when using a modeled estimate of the forest canopy cover as would be the case of a future lidar/radar joint space-borne mission. The two-layered vegetation backscatter model did not improve the biomass estimation accuracy with errors being higher when compared to a single-layer vegetation model.

    Original languageEnglish
    Title of host publication2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS
    PublisherIEEE
    Pages2145-2148
    Number of pages4
    ISBN (Electronic)9781479911141
    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

    • forest biomass
    • lidar-radar synergies

    Fingerprint Dive into the research topics of 'Forest biomass estimation using radar and lidar synergies'. Together they form a unique fingerprint.

  • Cite this

    Tian, S., Tanase, M. A., Panciera, R., Hacker, J., & Lowell, K. (2013). Forest biomass estimation using radar and lidar synergies. In 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS (pp. 2145-2148). [6723238] (International Geoscience and Remote Sensing Symposium (IGARSS)). IEEE. https://doi.org/10.1109/IGARSS.2013.6723238