Evaluating the potential of red edge position (REP) of hyperspectral remote sensing data for real time estimation of LAI & chlorophyll content of kinnow mandarin (Citrus reticulata) fruit orchards
Abstract
Leaf area index (LAI) and chlorophyll content (Chl) content are important indicators of plants health and nutrition status. Hyperspectral remote sensing is useful for the real-time estimation of plants biophysical and biochemical traits. The main objective of the current study was to evaluate the potential of red edge position (REP) extracted from hyperspectral reflectance profiles to estimate the LAI and Chl content of kinnow mandarin fruit...
Paper Details
Title
Evaluating the potential of red edge position (REP) of hyperspectral remote sensing data for real time estimation of LAI & chlorophyll content of kinnow mandarin (Citrus reticulata) fruit orchards
Published Date
Jun 1, 2020
Journal
Volume
267
Pages
109326 - 109326
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