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 …
[HTML][HTML] NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms
K Cawse-Nicholson, PA Townsend, D Schimel… - Remote Sensing of …, 2021 - Elsevier
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] Individual tree-crown detection in RGB imagery using semi-supervised deep learning neural networks
Remote sensing can transform the speed, scale, and cost of biodiversity and forestry
surveys. Data acquisition currently outpaces the ability to identify individual organisms in …
surveys. Data acquisition currently outpaces the ability to identify individual organisms in …
A best-practice guide to predicting plant traits from leaf-level hyperspectral data using partial least squares regression
AC Burnett, J Anderson, KJ Davidson… - Journal of …, 2021 - academic.oup.com
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 …
Combining transfer learning and hyperspectral reflectance analysis to assess leaf nitrogen concentration across different plant species datasets
Accurate estimation of leaf nitrogen concentration (LNC) is critical to characterize ecosystem
and plant physiological processes for example in carbon fixation. Remote sensing can …
and plant physiological processes for example in carbon fixation. Remote sensing can …
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 imagery to monitor crop nutrient status within and across growing seasons
Imaging spectroscopy provides the opportunity to monitor nutrient status of vegetation. In
crops, prior studies have generally been limited in scope, either to a small wavelength range …
crops, prior studies have generally been limited in scope, either to a small wavelength range …
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 …
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 …