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 …

Quantifying global terrestrial photosynthesis is essential to understanding the global carbon
cycle and the climate system. Remote sensing has played a pivotal role in advancing our …

Timely and accurate crop monitoring and yield forecasting before harvesting are valuable for
precision management, policy and decision making, and marketing. The aim of this study is …

Satellite-based models have been widely used to simulate vegetation gross primary
production (GPP) at the site, regional, or global scales in recent years. However, accurately …

The recently launched and upcoming hyperspectral satellite missions, featuring contiguous
visible-to-shortwave infrared spectral information, are opening unprecedented opportunities …

Hyperspectral acquisitions have proven to be the most informative Earth observation data
source for the estimation of nitrogen (N) content, which is the main limiting nutrient for plant …

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

Satellite imaging spectroscopy for terrestrial applications is reaching maturity with recently
launched and upcoming science-driven missions, eg PRecursore IperSpettrale della …

Abstract Three-dimensional (3D) radiative transfer simulations are critical for studying the
radiometric properties of canopies. Efficient and easy-to-use 3D radiative transfer models …

Novel hyperspectral indices, which are the first derivative normalized difference nitrogen
index (FD-NDNI) and the first derivative ratio nitrogen vegetation index (FD-SRNI), were …