Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions
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 …
management of N therefore is a pre-requisite for modern agriculture. Continuous satellite …
An overview of crop nitrogen status assessment using hyperspectral remote sensing: Current status and perspectives
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 …
application of N fertilizers not only limits crop productivity but also leads to negative …
PROSPECT-PRO for estimating content of nitrogen-containing leaf proteins and other carbon-based constituents
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 …
vegetation, allowing for forward simulations of remotely sensed data as well as inverse …
Monitoring and mapping vegetation cover changes in arid and semi-arid areas using remote sensing technology: a review
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 …
quality. It can accurately reflect changes in hydrology, climate, and human activities …
Hyperspectral imagery to monitor crop nutrient status within and across growing seasons
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 …
crops, prior studies have generally been limited in scope, either to a small wavelength range …
Estimating leaf mass per area and equivalent water thickness based on leaf optical properties: Potential and limitations of physical modeling and machine learning
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 …
traits providing information for many applications including ecosystem functioning modeling …
Unique contributions of chlorophyll and nitrogen to predict crop photosynthetic capacity from leaf spectroscopy
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 …
and nitrogen are closely linked leaf traits that determine C4 crop photosynthesis and yield …
Tree species classification using plant functional traits from LiDAR and hyperspectral data
Plant functional traits have been extensively used to describe, rank and discriminate species
according to their variability between species in classical plant taxonomy. However, the …
according to their variability between species in classical plant taxonomy. However, the …
Spaceborne imaging spectroscopy for sustainable agriculture: Contributions and challenges
Agriculture faces the challenge of providing food, fibre and energy from limited land
resources to satisfy the changing needs of a growing world population. Global megatrends …
resources to satisfy the changing needs of a growing world population. Global megatrends …
Generality of leaf spectroscopic models for predicting key foliar functional traits across continents: A comparison between physically-and empirically-based …
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 …
using physically-and empirically-based models. However, the generality of both models has …