Optical vegetation indices for monitoring terrestrial ecosystems globally
Vegetation indices (VIs), which describe remotely sensed vegetation properties such as
photosynthetic activity and canopy structure, are widely used to study vegetation dynamics …
photosynthetic activity and canopy structure, are widely used to study vegetation dynamics …
Significant remote sensing vegetation indices: A review of developments and applications
J Xue, B Su - Journal of sensors, 2017 - Wiley Online Library
Vegetation Indices (VIs) obtained from remote sensing based canopies are quite simple and
effective algorithms for quantitative and qualitative evaluations of vegetation cover, vigor …
effective algorithms for quantitative and qualitative evaluations of vegetation cover, vigor …
Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress
GH Mohammed, R Colombo, EM Middleton… - Remote sensing of …, 2019 - Elsevier
Remote sensing of solar-induced chlorophyll fluorescence (SIF) is a rapidly advancing front
in terrestrial vegetation science, with emerging capability in space-based methodologies …
in terrestrial vegetation science, with emerging capability in space-based methodologies …
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 …
UAV-based forest health monitoring: A systematic review
In recent years, technological advances have led to the increasing use of unmanned aerial
vehicles (UAVs) for forestry applications. One emerging field for drone application is forest …
vehicles (UAVs) for forestry applications. One emerging field for drone application is forest …
Phenomics–technologies to relieve the phenoty** bottleneck
Global agriculture is facing major challenges to ensure global food security, such as the
need to breed high-yielding crops adapted to future climates and the identification of …
need to breed high-yielding crops adapted to future climates and the identification of …
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 …
NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms
Abstract The 2017–2027 National Academies' Decadal Survey, Thriving on Our Changing
Planet, recommended Surface Biology and Geology (SBG) as a “Designated Targeted …
Planet, recommended Surface Biology and Geology (SBG) as a “Designated Targeted …
Applications of hyperspectral imaging in plant phenoty**
R Sarić, VD Nguyen, T Burge, O Berkowitz… - Trends in plant …, 2022 - cell.com
Our ability to interrogate and manipulate the genome far exceeds our capacity to measure
the effects of genetic changes on plant traits. Much effort has been made recently by the …
the effects of genetic changes on plant traits. Much effort has been made recently by the …
Visible-NIR 'point'spectroscopy in postharvest fruit and vegetable assessment: The science behind three decades of commercial use
The application of visible (Vis; 400–750 nm) and near infrared red (NIR; 750–2500 nm)
region spectroscopy to assess fruit and vegetables is reviewed in context of …
region spectroscopy to assess fruit and vegetables is reviewed in context of …