Quantifying Non-Photosynthetic Vegetation in a Mixed Grassland Using Hyperspectral Data: A Case Study in Kenya

Poster
Published on
byUniversity of Milan

Abstract

This study is a first attempt to quantify the non-photosynthetic vegetation (NPV) fraction at a semiarid grassland site located in Kenya. We have first applied a model already developed and calibrated for crop analysis to predict grassland NPV from field spectral reflectance data. The second step will be to refine the model and apply it to the PRISMA image to obtain a quantitative map.

Citation

Ceriani, R., Fava, F., Tagliabue G., Rossini M., Leitner, S., Panigada, C., Odongo, V., Vaglia, V., Mu-tuo, P., Kinuthia, K., Heidarian, R., Fakherifard, K., Pepe, M. 2023. Quantifying Non-Photosynthetic Vegetation in a Mixed Grassland Using Hyperspectral Data: A Case Study in Kenya. Poster prepared for the Agronomic research for green transition workshop, Portici, 25-27 September 2023. Milan, Italy: University of Milan.

Authors

  • Ceriani, R.
  • Fava, F.
  • Tagliabue, G.
  • Leitner, Sonja
  • Panigada, C.
  • Odongo, Vincent O.
  • Vaglia, V.
  • Mutuo, Paul M.
  • Kinuthia, Kelvin
  • Heidarian, R.
  • Fakherifard, K.
  • Pepe, M.

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