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 …

PROSPECT+ SAIL models: A review of use for vegetation characterization

S Jacquemoud, W Verhoef, F Baret, C Bacour… - Remote sensing of …, 2009 - Elsevier
The combined PROSPECT leaf optical properties model and SAIL canopy bidirectional
reflectance model, also referred to as PROSAIL, has been used for about sixteen years to …

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 …

Foliar functional traits from imaging spectroscopy across biomes in eastern North America

Z Wang, A Chlus, R Geygan, Z Ye, T Zheng… - New …, 2020 - Wiley Online Library
Foliar functional traits are widely used to characterize leaf and canopy properties that drive
ecosystem processes and to infer physiological processes in Earth system models. Imaging …

[HTML][HTML] Retrieval of aboveground crop nitrogen content with a hybrid machine learning method

K Berger, J Verrelst, JB Féret, T Hank, M Wocher… - International Journal of …, 2020 - Elsevier
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 …

Advances in hyperspectral remote sensing of vegetation and agricultural crops

PS Thenkabail, JG Lyon, A Huete - Fundamentals, sensor systems …, 2018 - taylorfrancis.com
Hyperspectral data (Table 1) is acquired as continuous narrowbands (eg, each band with 1
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …

Hyperspectral remote sensing of foliar nitrogen content

Y Knyazikhin, MA Schull, P Stenberg, M Mõttus… - Proceedings of the …, 2013 - pnas.org
A strong positive correlation between vegetation canopy bidirectional reflectance factor
(BRF) in the near infrared (NIR) spectral region and foliar mass-based nitrogen …

Biophysical and biochemical sources of variability in canopy reflectance

GP Asner - Remote sensing of Environment, 1998 - Elsevier
Analyses of various biophysical and biochemical factors affecting plant canopy reflectance
have been carried out over the past few decades, yet the relative importance of these factors …

PROSPECT-4 and 5: Advances in the leaf optical properties model separating photosynthetic pigments

JB Feret, C François, GP Asner, AA Gitelson… - Remote sensing of …, 2008 - Elsevier
The PROSPECT leaf optical model has, to date, combined the effects of photosynthetic
pigments, but a finer discrimination among the key pigments is important for physiological …

Spectroscopic determination of leaf biochemistry using band-depth analysis of absorption features and stepwise multiple linear regression

RF Kokaly, RN Clark - Remote sensing of environment, 1999 - Elsevier
We develop a new method for estimating the biochemistry of plant material using
spectroscopy. Normalized band depths calculated from the continuum-removed reflectance …