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 …
Sources of variability in canopy reflectance and the convergent properties of plants
SV Ollinger - New Phytologist, 2011 - Wiley Online Library
How plants interact with sunlight is central to the existence of life and provides a window to
the functioning of ecosystems. Although the basic properties of leaf spectra have been …
the functioning of ecosystems. Although the basic properties of leaf spectra have been …
Nitrogen addition promotes terrestrial plants to allocate more biomass to aboveground organs: A global meta‐analysis
H Feng, J Guo, C Peng, D Kneeshaw… - Global Change …, 2023 - Wiley Online Library
A significant increase in reactive nitrogen (N) added to terrestrial ecosystems through
agricultural fertilization or atmospheric deposition is considered to be one of the most …
agricultural fertilization or atmospheric deposition is considered to be one of the most …
Retrieval of crop biophysical parameters from Sentinel-2 remote sensing imagery
The red-edge bands place the recently available multispectral Sentinel-2 imagery at an
advantage over other multispectral sensors, and hypothetically offer improved crop …
advantage over other multispectral sensors, and hypothetically offer improved crop …
Advances in hyperspectral remote sensing of vegetation and agricultural crops
PS Thenkabail, JG Lyon, A Huete - … , Sensor Systems, Spectral …, 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 …
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …
Imaging spectroscopy algorithms for mapping canopy foliar chemical and morphological traits and their uncertainties
A major goal of remote sensing is the development of generalizable algorithms to repeatedly
and accurately map ecosystem properties across space and time. Imaging spectroscopy has …
and accurately map ecosystem properties across space and time. Imaging spectroscopy has …
Spectroscopic determination of leaf morphological and biochemical traits for northern temperate and boreal tree species
The morphological and biochemical properties of plant canopies are strong predictors of
photosynthetic capacity and nutrient cycling. Remote sensing research at the leaf and …
photosynthetic capacity and nutrient cycling. Remote sensing research at the leaf and …
A new model of gross primary productivity for North American ecosystems based solely on the enhanced vegetation index and land surface temperature from MODIS
Many current models of ecosystem carbon exchange based on remote sensing, such as the
MODIS product termed MOD17, still require considerable input from ground based …
MODIS product termed MOD17, still require considerable input from ground based …
Reflectance estimation of canopy nitrogen content in winter wheat using optimised hyperspectral spectral indices and partial least squares regression
Many spectral indices have been proposed to derive plant nitrogen (N) nutrient indicators
based on different algorithms. However, the relationships between selected spectral indices …
based on different algorithms. However, the relationships between selected spectral indices …
On the use of MODIS EVI to assess gross primary productivity of North American ecosystems
DA Sims, AF Rahman, VD Cordova… - Journal of …, 2006 - Wiley Online Library
Carbon flux models based on light use efficiency (LUE), such as the MOD17 algorithm, have
proved difficult to parameterize because of uncertainties in the LUE term, which is usually …
proved difficult to parameterize because of uncertainties in the LUE term, which is usually …