From the Arctic to the tropics: multibiome prediction of leaf mass per area using leaf reflectance

Spectroscopy can predict key leaf traits associated with source–sink balance and carbon–nitrogen status

(2019) Kim S Ely et al.   JOURNAL OF EXPERIMENTAL BOTANY

Enhancing global change experiments through integration of remote‐sensing techniques

(2019) Alexey N Shiklomanov et al.   FRONTIERS IN ECOLOGY AND THE ENVIRONMENT

Leaf reflectance spectroscopy captures variation in carboxylation capacity across species, canopy environment and leaf age in lowland moist tropical forests

(2019) Jin Wu et al.   NEW PHYTOLOGIST

Using imaging spectroscopy to detect variation in terrestrial ecosystem productivity across a water-stressed landscape

(2018) Sean DuBois et al.   ECOLOGICAL APPLICATIONS

Divergent drivers of leaf trait variation within species, among species, and among functional groups

(2018) Jeanne L. D. Osnas et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

The Impact of Parametric Uncertainties on Biogeochemistry in the E3SM Land Model

(2018) Daniel Ricciuto et al.   Journal of Advances in Modeling Earth Systems

A methodology to derive global maps of leaf traits using remote sensing and climate data

(2018) Álvaro Moreno-Martínez et al.   REMOTE SENSING OF ENVIRONMENT

Estimating leaf mass per area and equivalent water thickness based on leaf optical properties: Potential and limitations of physical modeling and machine learning

(2018) J.-B. Féret et al.   REMOTE SENSING OF ENVIRONMENT

Vegetation demographics in Earth System Models: A review of progress and priorities

(2017) Rosie A. Fisher et al.   GLOBAL CHANGE BIOLOGY

Hyperspectral reflectance as a tool to measure biochemical and physiological traits in wheat

(2017) Viridiana Silva-Perez et al.   JOURNAL OF EXPERIMENTAL BOTANY

Terrestrial biosphere models underestimate photosynthetic capacity and CO2 assimilation in the Arctic

(2017) Alistair Rogers et al.   NEW PHYTOLOGIST

Mapping local and global variability in plant trait distributions

(2017) Ethan E. Butler et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

PROSPECT-D: Towards modeling leaf optical properties through a complete lifecycle

(2017) J.-B. Féret et al.   REMOTE SENSING OF ENVIRONMENT

ISS observations offer insights into plant function

(2017) E. Natasha Stavros et al.   Nature Ecology & Evolution

Changes in specific leaf area of dominant plants in temperate grasslands along a 2500-km transect in northern China

(2017) Mengzhou Liu et al.   Scientific Reports

A roadmap for improving the representation of photosynthesis in Earth system models

(2016) Alistair Rogers et al.   NEW PHYTOLOGIST

Convergence in relationships between leaf traits, spectra and age across diverse canopy environments and two contrasting tropical forests

(2016) Jin Wu et al.   NEW PHYTOLOGIST

Diversity in plant hydraulic traits explains seasonal and inter-annual variations of vegetation dynamics in seasonally dry tropical forests

(2016) Xiangtao Xu et al.   NEW PHYTOLOGIST

High-Throughput Phenotyping of Maize Leaf Physiological and Biochemical Traits Using Hyperspectral Reflectance

(2016) Craig R. Yendrek et al.   PLANT PHYSIOLOGY

Seasonal variability of multiple leaf traits captured by leaf spectroscopy at two temperate deciduous forests

(2016) Xi Yang et al.   REMOTE SENSING OF ENVIRONMENT

Quantifying the influences of spectral resolution on uncertainty in leaf trait estimates through a Bayesian approach to RTM inversion

(2016) Alexey N. Shiklomanov et al.   REMOTE SENSING OF ENVIRONMENT

Leaf development and demography explain photosynthetic seasonality in Amazon evergreen forests

(2016) J. Wu et al.   SCIENCE

Leaf Mass per Area (LMA) and Its Relationship with Leaf Structure and Anatomy in 34 Mediterranean Woody Species along a Water Availability Gradient

(2016) Enrique G. de la Riva et al.   PLoS One

Imaging spectroscopy algorithms for mapping canopy foliar chemical and morphological traits and their uncertainties

(2015) Aditya Singh et al.   ECOLOGICAL APPLICATIONS

Observing terrestrial ecosystems and the carbon cycle from space

(2015) David Schimel et al.   GLOBAL CHANGE BIOLOGY

Environmental science: Agree on biodiversity metrics to track from space

(2015) Andrew K. Skidmore et al.   NATURE

An introduction to the NASA Hyperspectral InfraRed Imager (HyspIRI) mission and preparatory activities

(2015) Christine M. Lee et al.   REMOTE SENSING OF ENVIRONMENT

Remotely estimating photosynthetic capacity, and its response to temperature, in vegetation canopies using imaging spectroscopy

(2015) Shawn P. Serbin et al.   REMOTE SENSING OF ENVIRONMENT

Quantifying forest canopy traits: Imaging spectroscopy versus field survey

(2015) Gregory P. Asner et al.   REMOTE SENSING OF ENVIRONMENT

The EnMAP Spaceborne Imaging Spectroscopy Mission for Earth Observation

(2015) Luis Guanter et al.   Remote Sensing

Plant functional types in Earth system models: past experiences and future directions for application of dynamic vegetation models in high-latitude ecosystems

(2014) Stan D. Wullschleger et al.   ANNALS OF BOTANY

Modeling the Terrestrial Biosphere

(2014) Joshua B. Fisher et al.   Annual Review of Environment and Resources

Spectroscopic determination of leaf morphological and biochemical traits for northern temperate and boreal tree species

(2014) Shawn P. Serbin et al.   ECOLOGICAL APPLICATIONS

A worldwide analysis of within-canopy variations in leaf structural, chemical and physiological traits across plant functional types

(2014) Ülo Niinemets et al.   NEW PHYTOLOGIST

A fully traits-based approach to modeling global vegetation distribution

(2014) P. M. van Bodegom et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

The use and misuse of V c,max in Earth System Models

(2013) Alistair Rogers   PHOTOSYNTHESIS RESEARCH

Environmental and community controls on plant canopy chemistry in a Mediterranean-type ecosystem

(2013) K. M. Dahlin et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Facilitating feedbacks between field measurements and ecosystem models

(2012) David S. LeBauer et al.   ECOLOGICAL MONOGRAPHS

NIH Image to ImageJ: 25 years of image analysis

(2012) Caroline A Schneider et al.   NATURE METHODS

Toward a Mechanistic Modeling of Nitrogen Limitation on Vegetation Dynamics

(2012) Chonggang Xu et al.   PLoS One

Taxonomy and remote sensing of leaf mass per area (LMA) in humid tropical forests

(2011) Gregory P. Asner et al.   ECOLOGICAL APPLICATIONS

TRY - a global database of plant traits

(2011) J. KATTGE et al.   GLOBAL CHANGE BIOLOGY

Leaf optical properties reflect variation in photosynthetic metabolism and its sensitivity to temperature

(2011) Shawn P. Serbin et al.   JOURNAL OF EXPERIMENTAL BOTANY

Optimizing spectral indices and chemometric analysis of leaf chemical properties using radiative transfer modeling

(2011) Jean-Baptiste Féret et al.   REMOTE SENSING OF ENVIRONMENT

Sources of variability in canopy reflectance and the convergent properties of plants

(2010) S. V. Ollinger   NEW PHYTOLOGIST

Causes and consequences of variation in leaf mass per area (LMA): a meta-analysis

(2009) Hendrik Poorter et al.   NEW PHYTOLOGIST

Characterizing canopy biochemistry from imaging spectroscopy and its application to ecosystem studies

(2009) Raymond F. Kokaly et al.   REMOTE SENSING OF ENVIRONMENT

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

(2009) Stéphane Jacquemoud et al.   REMOTE SENSING OF ENVIRONMENT

Calibration and validation of hyperspectral indices for the estimation of broadleaved forest leaf chlorophyll content, leaf mass per area, leaf area index and leaf canopy biomass

(2008) G LEMAIRE et al.   REMOTE SENSING OF ENVIRONMENT

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

(2008) Jean-Baptiste Feret et al.   REMOTE SENSING OF ENVIRONMENT

Spectral and chemical analysis of tropical forests: Scaling from leaf to canopy levels

(2008) G ASNER et al.   REMOTE SENSING OF ENVIRONMENT