G. Arturo Sánchez-Azofeifa

TL;DR: In this paper, the authors performed a meta-analysis of the literature to gather all published liana leaf optical spectra, as well as all canopy spectra measured over different levels of liana infestation.

TL;DR: Although lianas and trees tend to have similar physiological-temperature responses, differences in Td could lead to significant differences in rates of photosynthesis and respiration based on temperature response curves, and future models should consider differences in leaf temperature between these two life forms to achieve robust predictions of productivity.

TL;DR: In this paper , the performance of deep learning time series separation of leaves and wood from terrestrial laser scanning (TLS) point clouds collected from broad-leaved trees was evaluated. And the results showed that deep learning algorithms coupled with geometric feature time series can accurately separate leaf and woody components from point clouds, which provides a good starting point for future research into estimation of forest structure parameters.

TL;DR: In this article, the authors developed allometric equations using TLS-measured variables and compared their accuracy with that of other widely used equations that rely on DBH, such as crown size and height.