Josiclêda Domiciano Galvíncio, Carine Rosa Naue, Francilene Angelotti, Magna Soelma Beserra de Moura


Hyperspectral remote sensing (HRS) is a useful method to monitor spectral changes in vegetation. HRS contains significant spectral information for detecting plant stress. The specific aims were: (1) to assess the changes in Vitis vinifera plant chlorophyll content due to the leakage of CO2 into the plant-air environment, and (2) to analyze an vegetation index derived from the first derivative reflectance values for use in detecting Vitis vinifera plant stress due to elevated concentrations of air CO2. Spectral reflectance was measured between 336 and 1045 nm with a spectral resolution of 1 nm, covering visible and near-infrared portions of the electromagnetic spectrum. The amount of chlorophyll decreased about 50% in the open top chamber modified (OTC modified) + CO2 injection when compared to natural condition. The difference in chlorophyll between OTC modified + no CO2 injection and natural condition was 24%. The concentration of chlorophyll a and b decreased and concentration of carotenoids increases of Vitis vinifera in initial stage of growth, with increase in CO2 to 550 ppm. In the end, the remote sensing hyperspectral presents itself as a great tool to assist in studies of global climate change and its impacts on the biomes of the world.



Hyperspectral; global climate change; biomes; pigments; vegetation; semiarid; Brazil.

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