The science and measurement concepts underlying the BIOMASS mission

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedings – Annual report year: 2012Researchpeer-review

  • Author: Quegan, Shaun

    University of Sheffield, United Kingdom

  • Author: Chave, Jerome

    Universite Toulouse III - Paul Sabatier, France

  • Author: Dall, Jørgen

    Microwaves and Remote Sensing, National Space Institute, Technical University of Denmark, Ørsteds Plads, 2800, Kgs. Lyngby, Denmark

  • Author: Le Toan, Thuy

    Centre d’Etudes Spatiales de la Biosphère, France

  • Author: Papathanassiou, Kostas

    German Aerospace Center, Germany

  • Author: Rocca, Fabio

    Polytechnic University of Milan, Italy

  • Author: Saatchi, Sassan

    NASA Jet Propulsion Laboratory, United States

  • Author: Scipal, Klaus

    European Space Agency - ESA, Netherlands

  • Author: Shugart, Hank

    University of Virginia, United States

  • Author: Ulander, Lars

    Swedish Defence Research Agency, Sweden

  • Author: Williams, Mathew

    University of Edinburgh, United Kingdom

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The BIOMASS mission is designed to provide unique information on the biomass in the world's forests at spatial and temporal resolutions suitable for characterizing their dynamics and their contribution to carbon cycle estimates. To achieve this it combines biomass estimates from direct inversion of polarimetric backscattering coefficients with Pol-InSAR forest height estimates. The mission will also support important secondary objectives, including sub-surface imaging in arid zones, production of a bare-earth DTM and ice applications, and is optimized to be robust against environmental and ionospheric disturbances.
Original languageEnglish
Title of host publicationIEEE International Geoscience and Remote Sensing Symposium proceedings
Publication date2012
ISBN (Print)9781467311601
Publication statusPublished - 2012
EventIEEE International Geoscience and Remote Sensing Symposium: Remote Sensing for a Dynamic Earth - Munich, Germany
Duration: 22 Jul 201227 Jul 2012


ConferenceIEEE International Geoscience and Remote Sensing Symposium
Internet address
SeriesIEEE International Geoscience and Remote Sensing Symposium
CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

  • Carbon cycle, REDD, Biomass, Forest height, Polarimetric interferometry, Bayesian methods
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ID: 38486534