• DocumentCode
    576490
  • Title

    Regularization strategies for agricultural monitoring: The EnMAP vegetation analyzer (AVA)

  • Author

    Richter, K. ; Hank, T. ; Atzberger, C. ; Locherer, M. ; Mauser, W.

  • Author_Institution
    Dept. of Geogr., Ludwig-Maximilians Univ. Munich, Munich, Germany
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    6613
  • Lastpage
    6616
  • Abstract
    In the frame of the German hyperspectral satellite mission “Environmental Mapping and Analysis Program” (EnMAP) a software interface is under development to facilitate the processing of the future hyperspectral data used by a range of environmental applications. For agricultural studies, the software will include the Agricultural Vegetation Analyzer (AVA) module, which is based on a look-up table (LUT) inversion of a radiative transfer model (RTM). Moreover, a statistical evaluator box (MapStat) will be implemented to validate, amongst others, the estimation of vegetation biophysical variables. Results from a hyperspectral field campaign with the Airborne Prism Experiment (APEX) instrument in Bavaria (Germany) showed that AVA can be regarded as robust and sound technique obtaining moderate to good results without the need of crop- or site specific calibration. MapStat will guarantee comparability between numerous modeling studies expected in the upcoming years within the context of the future EnMAP sensor.
  • Keywords
    agriculture; data analysis; geophysics computing; parameter estimation; radiative transfer; table lookup; user interfaces; vegetation mapping; APEX instrument; AVA module; Agricultural Vegetation Analyzer module; Airborne Prism Experiment; Bavaria; EnMAP vegetation analyzer; Environmental Mapping and Analysis Program; German hyperspectral satellite mission; Germany; MapStat statistical evaluator box; RTM; agricultural monitoring; agricultural studies; environmental applications; hyperspectral data processing; look up table inversion; parameter estimation; radiative transfer model; regularization strategies; software interface; vegetation biophysical variables; Agriculture; Estimation; Hyperspectral imaging; Table lookup; Vegetation mapping; APEX sensor; EnMAP-Box; agriculture; vegetation biophysical variables;
  • 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.2012.6352083
  • Filename
    6352083