Row orientation and viewing geometry effects on row-structured vine crops for chlorophyll content estimation
作者： F Meggio , Pablo J Zarco-Tejada , John R Miller , P Martín , MR González
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摘要: Methods for chlorophyll a + b (Cab) estimation in row-structured crops that account row orientation and sun geometry are presented this research. Airborne campaigns provided imagery over total of 72 study sites from 14 Vitis vinifera L. fields with the Compact Spectrographic Imager (CASI) hyperspectral sensor different geometries wide range orientations. Two CASI acquisition modes were used, comprising 1 4 m spatial resolutions 8 bands, respectively, visible near-infrared spectral regions. acquired same morning afternoon to assess bidirectional reflectance distribution function (BRDF) effects on owing fractions shadow as viewing orientation. Narrow-band indices sensitive content (TCARI/OSAVI (transformed absorption index / optimized soil-adjusted vegetation index)) canopy structure (normalized difference (NDVI)) calculated imagery. The studied through modelling approach. validity narrow-band Cab at level was assessed using an upscaling approach Markov-chain model (MCRM), additions simulate crop (rowMCRM) vineyard structure, vine dimensions, orientation, soil reflectance. Several predictive algorithms tested explore importance row- structured crops. New relationships developed rowMCRM between TCARI/OSAVI structural properties canopy, taking into diurnal variations One these new estimation, valid typical orientations, successfully applied areas, yielding RMSE leaf 10.2 10.6 µg·cm -2 geometries, respectively.
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