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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 …
Using soil library hyperspectral reflectance and machine learning to predict soil organic carbon: Assessing potential of airborne and spaceborne optical soil sensing
Soil organic carbon (SOC) is a key variable to determine soil functioning, ecosystem
services, and global carbon cycles. Spectroscopy, particularly optical hyperspectral …
services, and global carbon cycles. Spectroscopy, particularly optical hyperspectral …
Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions
Nitrogen (N) is considered as one of the most important plant macronutrients and proper
management of N therefore is a pre-requisite for modern agriculture. Continuous satellite …
management of N therefore is a pre-requisite for modern agriculture. Continuous satellite …
Estimate of winter-wheat above-ground biomass based on UAV ultrahigh-ground-resolution image textures and vegetation indices
When dealing with multiple growth stages, estimates of above-ground biomass (AGB) based
on optical vegetation indices (VIs) are difficult for two reasons:(i) optical VIs saturate at …
on optical vegetation indices (VIs) are difficult for two reasons:(i) optical VIs saturate at …
[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 …
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 …
Hyperspectral sensors and imaging technologies in phytopathology: state of the art
Plant disease detection represents a tremendous challenge for research and practical
applications. Visual assessment by human raters is time-consuming, expensive, and error …
applications. Visual assessment by human raters is time-consuming, expensive, and error …
Previsual symptoms of Xylella fastidiosa infection revealed in spectral plant-trait alterations
Plant pathogens cause significant losses to agricultural yields and increasingly threaten
food security, ecosystem integrity and societies in general,,–. Xylella fastidiosa is one of the …
food security, ecosystem integrity and societies in general,,–. Xylella fastidiosa is one of the …
[HTML][HTML] Optical remote sensing of crop biophysical and biochemical parameters: An overview of advances in sensor technologies and machine learning algorithms for …
This paper provides an overview of the recent developments in remote sensing technology
and machine learning algorithms for estimating important biophysical and biochemical …
and machine learning algorithms for estimating important biophysical and biochemical …