Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Brian N. Bailey"'
Publikováno v:
Plant Phenomics, Vol 6 (2024)
Deep learning and multimodal remote and proximal sensing are widely used for analyzing plant and crop traits, but many of these deep learning models are supervised and necessitate reference datasets with image annotations. Acquiring these datasets of
Externí odkaz:
https://doaj.org/article/281b13726fdd4650bbdebc86d003add7
Publikováno v:
Frontiers in Earth Science, Vol 11 (2024)
To determine near-surface winds within and above vegetation canopies for operational environmental applications, a wind model must run at high-resolution (O(1–10 m)), in a few minutes, using limited input information, and requiring minimal computin
Externí odkaz:
https://doaj.org/article/dde025f00e034944b524963d11474c59
Publikováno v:
Plant Phenomics, Vol 6 (2024)
Stomatal conductance (gs) is a crucial component of plant physiology, as it links plant productivity and water loss through transpiration. Estimating gs indirectly through leaf temperature (Tl) measurement is common for reducing the high labor cost a
Externí odkaz:
https://doaj.org/article/4b1b2951f3174605a86b9dd60859b4d5
Autor:
Brian N. Bailey
Publikováno v:
Frontiers in Plant Science, Vol 10 (2019)
This article presents an overview of Helios, a new three-dimensional (3D) plant and environmental modeling framework. Helios is a model coupling framework designed to provide maximum flexibility in integrating and running arbitrary 3D environmental s
Externí odkaz:
https://doaj.org/article/bb4442c6281b407b8ac59092d64fc325
Autor:
Brian N. Bailey
Publikováno v:
Boundary-Layer Meteorology. 188:103-112
Publikováno v:
International Journal of Wildland Fire. 32:749-766
Background Modelling of fire front progression is challenging due to the large range of spatial and temporal scales involved in the interactions between the atmosphere and fire fronts. Further modelling complications arise when heterogeneous terrain
Publikováno v:
New Phytologist. 238:529-548
Publikováno v:
American Journal of Enology and Viticulture. 73:183-197
Autor:
Matthew J. Moody, Jeremy A. Gibbs, Steven Krueger, Derek Mallia, Eric R. Pardyjak, Adam K. Kochanski, Brian N. Bailey, Rob Stoll
Publikováno v:
International Journal of Wildland Fire. 31:306-325
A microscale wildfire model, QES-Fire, that dynamically couples the fire front to microscale winds was developed using a simplified physics rate of spread (ROS) model, a kinematic plume-rise model and a mass-consistent wind solver. The model is three
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-14
In this study, several approaches were evaluated for estimation of the 3D distribution of leaf area from aerial LiDAR data. Two general leaf area distribution (LAD) inversion methods were evaluated against “synthetic” LiDAR data for a range of gr