Arctic tundra shrubification: a review of mechanisms and impacts on ecosystem carbon balance
Vegetation composition shifts, and in particular, shrub expansion across the Arctic tundra
are some of the most important and widely observed responses of high-latitude ecosystems …
are some of the most important and widely observed responses of high-latitude ecosystems …
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 …
[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 …
A best-practice guide to predicting plant traits from leaf-level hyperspectral data using partial least squares regression
Partial least squares regression (PLSR) modelling is a statistical technique for correlating
datasets, and involves the fitting of a linear regression between two matrices. One …
datasets, and involves the fitting of a linear regression between two matrices. One …
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 …
Foliar functional traits from imaging spectroscopy across biomes in eastern North America
Foliar functional traits are widely used to characterize leaf and canopy properties that drive
ecosystem processes and to infer physiological processes in Earth system models. Imaging …
ecosystem processes and to infer physiological processes in Earth system models. Imaging …
Climate change effects on pathogen emergence: Artificial intelligence to translate big data for mitigation
Plant pathology has developed a wide range of concepts and tools for improving plant
disease management, including models for understanding and responding to new risks from …
disease management, including models for understanding and responding to new risks from …
From spectra to plant functional traits: Transferable multi-trait models from heterogeneous and sparse data
Large-scale information on several vegetation properties ('plant traits') is critical to assess
ecosystem functioning, functional diversity and their role in the Earth system. Hyperspectral …
ecosystem functioning, functional diversity and their role in the Earth system. Hyperspectral …
A multi-omics approach to solving problems in plant disease ecology
The swift rise of omics-approaches allows for investigating microbial diversity and plant-
microbe interactions across diverse ecological communities and spatio-temporal scales. The …
microbe interactions across diverse ecological communities and spatio-temporal scales. The …
Generality of leaf spectroscopic models for predicting key foliar functional traits across continents: A comparison between physically-and empirically-based …
Leaf spectroscopy provides an efficient way of predicting foliar functional traits, commonly
using physically-and empirically-based models. However, the generality of both models has …
using physically-and empirically-based models. However, the generality of both models has …