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 …

Hyperspectral remote sensing of plant pigments

GA Blackburn - Journal of experimental botany, 2007 - academic.oup.com
The dynamics of pigment concentrations are diagnostic of a range of plant physiological
properties and processes. This paper appraises the develo** technologies and analytical …

[KÖNYV][B] The normalized difference vegetation index

N Pettorelli - 2013 - books.google.com
There has been a recent surge of interest in remote sensing and its use in ecology and
conservation but this is the first book to focus explicitly on the NDVI (Normalised Difference …

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 …

Use of a green channel in remote sensing of global vegetation from EOS-MODIS

AA Gitelson, YJ Kaufman, MN Merzlyak - Remote sensing of Environment, 1996 - Elsevier
Most animals use a “green” spectral range to remotely sense the presence and vitality of
vegetation. While humans possess the same ability in their eyes, man-made space-borne …

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 …

An improved grid search algorithm to optimize SVR for prediction

Y Sun, S Ding, Z Zhang, W Jia - Soft Computing, 2021 - Springer
Parameter optimization is an important step for support vector regression (SVR), since its
prediction performance greatly depends on values of the related parameters. To solve the …

Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves

AA Gitelson, Y Gritz, MN Merzlyak - Journal of plant physiology, 2003 - Elsevier
Leaf chlorophyll content provides valuable information about physiological status of plants.
Reflectance measurement makes it possible to quickly and non-destructively assess, in situ …

Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density

NH Broge, E Leblanc - Remote sensing of environment, 2001 - Elsevier
Hyperspectral reflectance data representing a wide range of canopies were simulated using
the combined PROSPECT+ SAIL model. The simulations were used to study the stability of …

Non‐destructive optical detection of pigment changes during leaf senescence and fruit ripening

MN Merzlyak, AA Gitelson, OB Chivkunova… - Physiologia …, 1999 - Wiley Online Library
Reflectance spectra in the visible and near infra‐red range of the spectrum, acquired for
maple (Acer platanoides L.), chestnut (Aesculus hippocastanum L.), potato (Solanum …