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 …

Vegetation cover change is one of the key indicators used for monitoring environmental
quality. It can accurately reflect changes in hydrology, climate, and human activities …

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 …

Nitrogen (N) is significantly related to crop photosynthetic capacity. Over-and-under-
application of N fertilizers not only limits crop productivity but also leads to negative …

Leaf traits are essential for understanding many physiological and ecological processes.
Partial least squares regression (PLSR) models with leaf spectroscopy are widely applied …

Leaf mass per area (LMA) and leaf equivalent water thickness (EWT) are key leaf functional
traits providing information for many applications including ecosystem functioning modeling …

Imaging spectroscopy provides the opportunity to monitor nutrient status of vegetation. In
crops, prior studies have generally been limited in scope, either to a small wavelength range …

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 …

The photosynthetic capacity or the CO2-saturated photosynthetic rate (V max), chlorophyll,
and nitrogen are closely linked leaf traits that determine C4 crop photosynthesis and yield …

Timely and accurate estimation of crop yield and quality can provide a practical and effective
basis for the formulation of national food policies. Based on remote sensing data of rice multi …