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Estimation of Maize Photosynthesis Traits Using Hyperspectral Lidar Backscattered Intensity
2021
Remote Sensing
High-throughput measurement of plant photosynthesis ability presents a challenge for the breeding process aimed to improve crop yield. As a novel technique, hyperspectral lidar (HSL) has the potential to characterize the spatial distribution of plant photosynthesis traits under less confounding factors. In this paper, HSL reflectance spectra of maize leaves were utilized for estimating the maximal velocity of Rubisco carboxylation (Vcmax) and maximum rate of electron transport at a specific
doi:10.3390/rs13214203
fatcat:qdhqb4ye65ei7i5razunt6sxge