• DocumentCode
    291803
  • Title

    Biophysical parameter retrievals using bidirectional measurements

  • Author

    Qi, J. ; Cabot, F. ; Moran, M.S. ; Dedieu, G. ; Thome, K.J.

  • Author_Institution
    USDA-ARS-Water Conservation Lab., Phoenix, AZ, USA
  • Volume
    3
  • fYear
    1994
  • fDate
    8-12 Aug 1994
  • Firstpage
    1816
  • Abstract
    Measurements with oblique viewing angles can provide complementary information about land surfaces since these measurements reveal structural aspects while nadir measurements do not. Consequently, bidirectional measurements can be used to characterize surface biophysical properties. In this study, the authors developed an algorithm that combined bidirectional measurements with three existing bidirectional reflectance distribution function (BRDF) models to retrieve surface physical parameters such as leaf area index (LAI). The algorithm was applied to a multidirectional reflectance data set collected during an experiment at Maricopa Agricultural Center in 1991 over three different types of land surfaces (recently harvested alfalfa, pecan, and cotton). It was further validated with ground-based multitemporal reflectance measurements over a growing wheat canopy in 1983. Preliminary results showed that the algorithm was promising in retrieval of LAI and had potential to monitor vegetation growth on an operational basis
  • Keywords
    agriculture; geophysical techniques; remote sensing; BRDF model; LAI; agriculture crops; alfalfa; algorithm; bidirectional measurement; bidirectional reflectance distribution; bidirectional reflectance distribution function; biophysical parameter retrieval; cotton; geophysical measurement technique; land surface; leaf area index; multidirectional reflectance; oblique viewing angle; optical imaging; pecan,; remote sensing; vegetation growth; vegetation mapping; visible; wheat canopy; Area measurement; Bidirectional control; Distribution functions; Information retrieval; Laboratories; Land surface; Reflectivity; Sensor arrays; US Department of Agriculture; Vegetation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
  • Conference_Location
    Pasadena, CA
  • Print_ISBN
    0-7803-1497-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.1994.399574
  • Filename
    399574