Results 101 to 110 of about 16,742 (260)
Control System for the Navigation of the Agricultural Robots: A Review
Journal of Field Robotics, EarlyView.ABSTRACT Control systems for the navigation of autonomous agricultural robots—particularly those operating in uneven terrain and in the presence of static or dynamic obstacles—have advanced considerably in recent years. As conventional machinery evolves toward increasingly automated systems, the design of reliable navigation controllers has become ...
Edna Carolina Moriones Polanía +3 more
wiley +1 more source
Spectral characterization of plant diversity in a biodiversity‐enriched oil palm plantation
Remote Sensing in Ecology and Conservation, EarlyView.How well can airborne imaging spectroscopy detect plant diversity in vertically complex agroforestry systems? We tested this in a biodiversity‐enriched oil palm plantation in Sumatra, Indonesia, using high‐resolution hyperspectral data. We calculated spectral alpha and beta diversity and compared them to field‐based plant diversity.
Vannesa Montoya‐Sánchez +10 more
wiley +1 more source
Applied SciencesIn the field of hyperspectral image classification, deep learning technology, especially convolutional neural networks, has achieved remarkable progress.
Laiying Fu +3 more
doaj +1 more source
Using phenology to improve invasive plant detection in fine‐scale hyperspectral drone‐based images
Remote Sensing in Ecology and Conservation, EarlyView.Using drone‐based hyperspectral images of mixed temperate successional forests collected over a growing season, detection algorithms were produced for three invasive species of interest, which are not only invasive in Virginia but also much of the U.S.: Ailanthus altissima (tree of heaven), Elaeagnus umbellata (autumn olive), and Rhamnus davurica ...
Kelsey S. Huelsman +3 more
wiley +1 more source
Hyperspectral EELS image unmixing
, 2016 Electron Energy Loss Spectroscopy (EELS) performed in a Scanning Transmission Electron Microscope (STEM) provides hyperspectral images characterized by a large number of pixels and energy channels (typically 100 x 100 x 1000) [1].
Altmann, Yoann +5 more
openaire +2 more sources
Remote Sensing in Ecology and Conservation, EarlyView.Monitoring forest recovery from disturbances at scale requires tracking tree dynamics, yet traditional ground‐based approaches are resource‐intensive. We present a pipeline to parameterize integral projection models (IPMs) using LiDAR data and hyperspectral‐based species maps to assess post‐fire recovery across large, forested areas at the Caribou ...
Jessica McLean +4 more
wiley +1 more source
Remote Sensing in Ecology and Conservation, EarlyView.Imaging spectroscopy enables large‐scale biodiversity assessment, yet spectral diversity metrics are scale dependent. Across 15 NEON ecosystems, we find that spectral richness increases sub‐linearly from 3600 m2 to 4 km2, whereas spectral divergence shows weak or inconsistent scaling with area, underscoring the importance of scale‐aware interpretation ...
Meghan T. Hayden +8 more
wiley +1 more source
Small Methods, EarlyView.Residual stresses in Tiger’s Eye quartz have been mapped by combining Raman spectroscopy and electron back scatter diffraction. The study quantified stress distributions likely formed during cooling due to the anisotropy of thermal contraction. This non‐destructive methodology provides a reliable baseline for mapping stress in both natural polycrystals
Genevieve C. Kidman +4 more
wiley +1 more source
Raman Microspectroscopy for Structural Indication in Ultrafast Laser Writing
Small Methods, EarlyView.Raman microspectroscopy is demonstrated as an in situ, phase‐specific probe for femtosecond laser fabrication in diamond. Multiple spectral indicators are systematically evaluated and correlated with electrical performance, establishing a robust methodology for process monitoring.
Xingrui Cheng +5 more
wiley +1 more source