• DocumentCode
    513142
  • Title

    Combination of remote sensing and in situ measurements for a detailed assessment of biophysical properties of East African rainforests: A case study for Kakamega Forest, Kenya, and Budongo Forest, Uganda

  • Author

    Kraus, Tanja ; Schmidt, Michael ; Dech, Stefan ; Samimi, Cyrus

  • Author_Institution
    German Remote Sensing Data Center, German Aerosp. Center, Wessling, Germany
  • Volume
    3
  • fYear
    2009
  • fDate
    12-17 July 2009
  • Abstract
    In situ measurements of leaf area index (LAI) were taken in two semi-deciduous rainforests in East Africa. Based on field data and optical high resolution satellite images, transfer functions were established that helped to produce high resolution LAI maps of both areas. In a further step, these maps were used to validate the spatial accuracy of the MODIS LAI product for the two test sites. The temporal consistency of the product was investigated based on a time series for the years 2000-2005. Results show that both spatially and temporally the MODIS LAI product represented the test sites´ LAI with satisfying accuracy. Yet temporal interpolation should be applied to bad data quality pixels before MODIS LAI time series are used for further applications.
  • Keywords
    environmental factors; time series; vegetation mapping; AD 2000 to 2005; Budongo forest; Kakamega forest; Kenya; MODIS LAI time series data; Uganda; east African rainforest biophysical properties; in situ measurements; leaf area index maps; optical high resolution satellite images; remote sensing; semideciduous rainforests; temporal interpolation; transfer functions; Africa; Area measurement; Biomedical optical imaging; Image resolution; MODIS; Optical sensors; Remote sensing; Satellites; Spatial resolution; Testing; East Africa; LAI; MODIS LAI product; rain forests; validation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4244-3394-0
  • Electronic_ISBN
    978-1-4244-3395-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2009.5417766
  • Filename
    5417766