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 …
[HTML][HTML] Current and near-term advances in Earth observation for ecological applications
SL Ustin, EM Middleton - Ecological Processes, 2021 - Springer
There is an unprecedented array of new satellite technologies with capabilities for
advancing our understanding of ecological processes and the changing composition of the …
advancing our understanding of ecological processes and the changing composition of the …
Conversion of fuel moisture content values to ignition potential for integrated fire danger assessment
L'estimation de la teneur en humidité des combustibles est un élément critique de tout
système d'évaluation du danger d'incendie étant donné que le statut hydrique des …
système d'évaluation du danger d'incendie étant donné que le statut hydrique des …
What is global photosynthesis? History, uncertainties and opportunities
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 …
cycle and the climate system. Remote sensing has played a pivotal role in advancing our …
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 …
A visible band index for remote sensing leaf chlorophyll content at the canopy scale
ER Hunt Jr, PC Doraiswamy, JE McMurtrey… - International journal of …, 2013 - Elsevier
Leaf chlorophyll content is an important variable for agricultural remote sensing because of
its close relationship to leaf nitrogen content. The triangular greenness index (TGI) was …
its close relationship to leaf nitrogen content. The triangular greenness index (TGI) was …
Advances in hyperspectral remote sensing of vegetation and agricultural crops
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 …
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …
Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages
DA Sims, JA Gamon - Remote sensing of environment, 2002 - Elsevier
Leaf pigment content can provide valuable insight into the physiological performance of
leaves. Measurement of spectral reflectance provides a fast, nondestructive method for …
leaves. Measurement of spectral reflectance provides a fast, nondestructive method for …
Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture
A growing number of studies have focused on evaluating spectral indices in terms of their
sensitivity to vegetation biophysical parameters, as well as to external factors affecting …
sensitivity to vegetation biophysical parameters, as well as to external factors affecting …
PROSPECT+ SAIL models: A review of use for vegetation characterization
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 …
reflectance model, also referred to as PROSAIL, has been used for about sixteen years to …