• DocumentCode
    576456
  • Title

    Comparison of space-based technologies for measuring BIOMASS: The road to the BIOMASS mission

  • Author

    Quegan, Shaun ; Le Toan, Thuy

  • Author_Institution
    Centre for Terrestrial Carbon Dynamics, Univ. of Sheffield, Sheffield, UK
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    7200
  • Lastpage
    7203
  • Abstract
    Information on above-ground biomass and its changes is of fundamental importance for carbon cycle and climate calculations. The difficulty of making ground-based inventories of biomass, especially in the tropics, has therefore led to serious attempts to estimate biomass from space. Active technologies hold the most promise. Lidar maps of forest height derived from IceSAT data have underpinned two recent pan-tropical biomass maps, using indirect statistical regression methods. More direct measurements of biomass are possible using radar, and can be combined with height measurements by a mission that supports a Pol-InSAR mode. Physics and experiment both indicate that the longest wavelength possible should be used, which is P-band. The BIOMASS mission is driven by these considerations, and is uniquely fitted to measure biomass, but will gain significantly from combination with both spaceborne L-band data, expected to be available during the mission lifetime, and with airborne lidar measurements.
  • Keywords
    ecology; radar interferometry; remote sensing by laser beam; remote sensing by radar; synthetic aperture radar; vegetation; BIOMASS mission; IceSAT data; Lidar maps; Pol-InSAR mode; above-ground biomass information; airborne lidar measurements; biomass ground-based inventories; carbon cycle; climate calculations; forest height; indirect statistical regression methods; pan-tropical biomass maps; space-based technologies; spaceborne L-band data; Backscatter; Biomass; Carbon; Carbon dioxide; Laser radar; Meteorology; Spaceborne radar; Lidar; carbon management; polarimetric interferometry; polarimetry; synthetic aperture radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6352001
  • Filename
    6352001