Results 51 to 60 of about 7,274 (218)
Abstract Traditionally, turfgrass color has been assessed through visual ratings or light box‐based digital image analysis, methods that are either subjective or labor‐intensive. In this study, we evaluated the potential of unmanned aerial vehicle (UAV)‐based multispectral and red‐green‐blue (RGB) imagery as a high‐throughput alternative for capturing ...
Ved Parkash +9 more
wiley +1 more source
Abstract Monitoring spatial variations in plant growth and forecasting yield before harvest provides valuable insights for optimizing agronomic decision‐making in potato (Solanum tuberosum L.) cultivation. Although unmanned aerial vehicle (UAV)‐based remote sensing has recently enabled the development of tuber fresh weight (TW) estimation models, their
Yuto Imachi +7 more
wiley +1 more source
GNSS interference and spoofing dataset
GNSS signals are vulnerable to spoofing and interference, which poses a threat to the security of critical national infrastructure. GNSS data sets with spoofing and jamming are lacking, which hinders the research of GNSS anti-spoofing and anti-interference techniques.
Xiaoyan Wang +3 more
openaire +3 more sources
Abstract Accurate prediction of grain yield (GY) remains a major challenge in plant breeding due to complex interactions between genotype, environment, and management (G × E × M) factors. Remote sensing data from unmanned aerial vehicles (UAVs) equipped with multispectral sensors have emerged as a pivotal resource for high‐throughput phenotyping.
Swas Kaushal +8 more
wiley +1 more source
Abstract In peanut (Arachis hypogaea L.), plant stand establishment, seedling vigor, and canopy growth are key determinants of crop performance; yet traditional ground‐based assessment methods can be destructive, labor‐intensive, and limited in throughput.
Ved Parkash +6 more
wiley +1 more source
Abstract Accelerating genetic gain in intercrop forage breeding requires scalable phenotyping approaches that can capture both yield and quality variation across complex genotype combinations. This study evaluated the use of uncrewed aerial system (UAS)‐derived multispectral vegetation indices (VIs) for predicting forage yield and nutritive quality in ...
Milcah Kigoni +6 more
wiley +1 more source
Building a Continental‐Scale Geodetic Network: The Plate Boundary Observatory (PBO)
Abstract The Plate Boundary Observatory (PBO) transformed the use of geodesy in North America to study crustal deformation and plate boundary processes by establishing a continental‐scale, standardized, open‐access geodetic network. Built and operated by UNAVCO between 2003 and 2018 as part of the National Science Foundation (NSF)‐funded EarthScope ...
Emily E. Zawacki +5 more
wiley +1 more source
Collocated Geotechnical and Geophysical Test Dataset at Three Sites in Napier, New Zealand
Reliable assessment of liquefaction hazard, particularly in the context of groundwater fluctuations associated with hydroclimatic changes and variability between liquefaction assessment methods, necessitates supplementary data and advanced site characterization methods.
Aavash Ghimire +4 more
wiley +1 more source
A Data‐Driven Review of Geoscience Research Evolution Using SciBERT‐Based Topic and Network Analysis
This review synthesises the evolution of global geoscience research from 2004 to 2023 using large‐scale bibliometric evidence. By combining keyword co‐occurrence network analysis with SciBERT‐based topic modelling, it identifies major paradigm transitions from geology‐centred research to climate‐focused studies and recent data‐ and AI‐driven ...
Sooyeon Han, Ju‐seop Kim
wiley +1 more source
Dataset of Coastline Positions for Sandy Beaches of England and Wales Derived Using Remote Sensing
Two decades (1999–2020) of annual coastline position dataset were generated using COASTSAT toolkit for sandy beaches of England and Wales. The dataset consists of annual coastline position coordinates in the format of GeoJSON and Tabular files. ABSTRACT This article presents a dataset of coastline positions, comprising annual sandy coastline detections
Pavitra Kumar, Nicoletta Leonardi
wiley +1 more source

