Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions

K Berger, J Verrelst, JB Féret, Z Wang… - Remote Sensing of …, 2020 - Elsevier
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 …

An overview of crop nitrogen status assessment using hyperspectral remote sensing: Current status and perspectives

Y Fu, G Yang, R Pu, Z Li, H Li, X Xu, X Song… - European Journal of …, 2021 - Elsevier
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 …

PROSPECT-PRO for estimating content of nitrogen-containing leaf proteins and other carbon-based constituents

JB Féret, K Berger, F De Boissieu… - Remote Sensing of …, 2021 - Elsevier
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 …

Monitoring and mapping vegetation cover changes in arid and semi-arid areas using remote sensing technology: a review

R Almalki, M Khaki, PM Saco, JF Rodriguez - Remote Sensing, 2022 - mdpi.com
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 …

Hyperspectral imagery to monitor crop nutrient status within and across growing seasons

N Liu, PA Townsend, MR Naber, PC Bethke… - Remote Sensing of …, 2021 - Elsevier
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 …

Estimating leaf mass per area and equivalent water thickness based on leaf optical properties: Potential and limitations of physical modeling and machine learning

JB Féret, G Le Maire, S Jay, D Berveiller… - Remote Sensing of …, 2019 - Elsevier
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 …

Unique contributions of chlorophyll and nitrogen to predict crop photosynthetic capacity from leaf spectroscopy

S Wang, K Guan, Z Wang, EA Ainsworth… - Journal of …, 2021 - academic.oup.com
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 …

Tree species classification using plant functional traits from LiDAR and hyperspectral data

Y Shi, AK Skidmore, T Wang, S Holzwarth… - International Journal of …, 2018 - Elsevier
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 …

Spaceborne imaging spectroscopy for sustainable agriculture: Contributions and challenges

TB Hank, K Berger, H Bach, JGPW Clevers… - Surveys in …, 2019 - Springer
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 …

Generality of leaf spectroscopic models for predicting key foliar functional traits across continents: A comparison between physically-and empirically-based …

Z Wang, JB Féret, N Liu, Z Sun, L Yang, S Geng… - Remote Sensing of …, 2023 - Elsevier
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 …