Results 141 to 150 of about 595,327 (300)
Uncertainties in the representation of ice particle size distributions (PSDs) cause inaccuracies in parameterisations of clouds. In this study, observed PSDs from a midlatitude frontal case study are compared with gamma PSDs with the same concentration and ice water content.
Rosie M. Mammatt +3 more
wiley +1 more source
Evaluating anisotropy‐based Monin–Obukhov similarity theory over canopies and complex terrain
This study shows that an anisotropy‐based generalization of Monin–Obukhov surface‐layer scaling (SC23) applies readily across a wide range of atmospheric conditions with variable terrain, canopies, and land‐cover complexity. This work focuses on the scaling of velocity variances for 7 years at the 47 sites in the National Ecological Observation Network
Tyler S. Waterman +3 more
wiley +1 more source
Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos +6 more
wiley +1 more source
Strategies for Assessing Post‐Wildfire Geomorphic Resilience in Semiarid Rivers
ABSTRACT We review and summarize diverse components of a catchment that can be monitored after wildfire to assess the geomorphic resilience of the river corridor in semiarid regions. We distinguish upland portions of river catchments from river corridors.
Ellen Wohl +8 more
wiley +1 more source
ABSTRACT Assessing spatial and temporal variability of clogging in gravel‐bed rivers is challenging because field methods typically rely on labor‐intensive measurements of fine‐sediment content, porosity, or hydraulic conductivity. Clogging is also highly dynamic, driven by hydro‐sedimentary conditions; yet few studies have examined it at large scales ...
D. Hernandez, B. Camenen, A. Bonnefoy
wiley +1 more source
Tree canopy height is a key indicator of forest biomass and structure, yet accurate mapping across the Amazon remains challenging. Here, we generated a canopy height map of the Amazon forest at ~4.8 m resolution using Planet NICFI imagery and a deep learning U‐Net model trained with airborne LiDAR data.
Fabien H. Wagner +21 more
wiley +1 more source
Using phenology to improve invasive plant detection in fine‐scale hyperspectral drone‐based images
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
Correction: The role and future of the population health observatory: advancing public health intelligence in Saudi Arabia. [PDF]
Al Eissa MM +8 more
europepmc +1 more source
Modelling forest dynamics using integral projection models and repeat lidar
Forests are facing increasing pressure from climate change and disturbance, yet linking individual tree trajectories to whole‐forest outcomes remains a major challenge. Our study integrates repeat airborne lidar with an Integral Projection Model to analyse demographic processes at the landscape scale.
Alice Rosen +9 more
wiley +1 more source

