作者: U. Gritz , Anatoly A. Gitelson , M. N. Merzlyak , R. Stark , Y. Zur
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摘要: The goal of this work is to develop non-destructive techniques that can conveniently, rapidly and accurately assess crop physiological status objectively evaluate plant responses environmental factors, both natural anthropogenic. High spectral resolution reflectance absorption spectra different unrelated species were analyzed determine variability information content in the visible near-infrared spectrum at leaf canopy levels. Techniques developed quantitatively retrieve chlorophyll, carotenoid anthocyanin from a wide range pigment composition. for vegetation fraction retrieval those based on channels validated. Despite fact contrast among much smaller than between near infrared, sensitivity moderate high values higher NDVI error prediction did not exceed 10 per cent. Leaf estimation Optical properties leaves several chlorophyll (Chl), (Car) (Anth) contents have been investigated (Gitelson Merzlyak, 1997; Zur et al., 2000; Gitelson 2001a) order It was found band 700 nm sensitive Chl only, whereas around 550 Anth content, 500-520 Car content. technique remove effect nm. Algorithms Chl, estimating devised and, finally, validated by few independent data sets. Gitelson, Zur, Stark & Gritz Proceedings 3rd European Conference Precision Agriculture, Montpelier, France, 2001. Grenier Blackmore, editors.