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

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 wi...

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Main 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.
Format: Poster
Language:Inglés
Published: University of Milan 2023
Subjects:
agroecosystems
crop modelling
remote sensing
vegetation
climate change
Online Access:https://hdl.handle.net/10568/132515
Summary: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.

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