Nitrogen (N) is considered as one of the most important plant macronutrients and proper
management of N therefore is a pre-requisite for modern agriculture. Continuous satellite …

Improving photosynthesis is a promising avenue to increase food security. Studying
photosynthetic traits with the aim to improve efficiency has been one of many strategies to …

Abstract Models of radiative transfer (RT) are important tools for remote sensing of
vegetation, allowing for forward simulations of remotely sensed data as well as inverse …

Accurate estimation of leaf nitrogen concentration (LNC) is critical to characterize ecosystem
and plant physiological processes for example in carbon fixation. Remote sensing can …

Wildfire susceptibility maps display the spatial probability of an area to burn in the future,
based solely on the intrinsic local proprieties of a site. Current studies in this field often rely …

Drought events have a major impact on vegetation structure and function. Recently, solar-
induced chlorophyll fluorescence (SIF) has been widely used to understand the …

One of the problems of optical remote sensing of crop above-ground biomass (AGB) is that
vegetation indices (VIs) often saturate from the middle to late growth stages. This study …

Leaf mass per area (LMA) is a key plant trait, reflecting tradeoffs between leaf photosynthetic
function, longevity, and structural investment. Capturing spatial and temporal variability in …

Functional diversity (FD) provides a link between biodiversity and ecosystem functioning,
summarizing inter-and intra-specific variation of functional traits. However, quantifying plant …

Leaf spectroscopy provides an efficient way of predicting foliar functional traits, commonly
using physically-and empirically-based models. However, the generality of both models has …