• DocumentCode
    3023438
  • Title

    Long Term Soil Productivity study using very high spatial resolution imagery

  • Author

    Kongwen Zhang ; Curran, Mark ; Robinson, John ; Baoxin Hu

  • Author_Institution
    Selkirk Geospatial Res. Centre, Selkirk Coll., Castlegar, BC, Canada
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    501
  • Lastpage
    503
  • Abstract
    Soil productive is critical to Earth surface vegetation management and monitoring with significant environmental and economic value. The human impact has played a very important role in agriculture and forest soil disturbances. In this study, very high spatial resolution multi-spectral imagery was investigated for its value and potential in soil treatment study. Individual tree height and DBH were retrieved from the imagery and was used to estimate the biomass, which is expected to be important indicator of ground soil treatment. Controlled ground experimental sites were used to validate the result and preliminary results have shown the biomass can´t directly reflect the tree health condition. The normalized year difference would be a much better indicator for this study.
  • Keywords
    remote sensing; soil; vegetation; Earth surface vegetation management; Earth surface vegetation monitoring; agriculture soil disturbances; controlled ground experimental sites; economic value; environmental value; forest soil disturbances; ground soil treatment; multispectral imagery; soil productivity study; spatial resolution imagery; tree health condition; Biomass; Hyperspectral sensors; Productivity; Soil; Spatial resolution; Vegetation; Remote Sensing; longitudinal profile; soil; very high spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6721202
  • Filename
    6721202