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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 …
Integrating remote sensing with ecology and evolution to advance biodiversity conservation
Remote sensing has transformed the monitoring of life on Earth by revealing spatial and
temporal dimensions of biological diversity through structural, compositional and functional …
temporal dimensions of biological diversity through structural, compositional and functional …
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 …
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 …
UAVs as remote sensing platforms in plant ecology: review of applications and challenges
Abstract Aims Unmanned aerial vehicles (UAVs), ie drones, have recently emerged as cost-
effective and flexible tools for acquiring remote sensing data with fine spatial and temporal …
effective and flexible tools for acquiring remote sensing data with fine spatial and temporal …
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 …
Hyperspectral measurements enable pre-symptomatic detection and differentiation of contrasting physiological effects of late blight and early blight in potato
In-vivo foliar spectroscopy, also known as contact hyperspectral reflectance, enables rapid
and non-destructive characterization of plant physiological status. This can be used to …
and non-destructive characterization of plant physiological status. This can be used to …
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 …
Spatial resolution, spectral metrics and biomass are key aspects in estimating plant species richness from spectral diversity in species‐rich grasslands
Increasing evidence suggests that remotely sensed spectral diversity is linked to plant
species richness. However, a conflicting spectral diversity–biodiversity relationship in …
species richness. However, a conflicting spectral diversity–biodiversity relationship in …
Field spectroscopy of canopy nitrogen concentration in temperate grasslands using a convolutional neural network
RR Pullanagari, M Dehghan-Shoar, IJ Yule… - Remote Sensing of …, 2021 - Elsevier
As an essential feature of plant autotrophy, Nitrogen (N) is the major nutrient affecting plant
growth in terrestrial ecosystems, thus is of not only fundamental scientific interest, but also a …
growth in terrestrial ecosystems, thus is of not only fundamental scientific interest, but also a …