Results 111 to 120 of about 21,023 (158)

A Single-Operator Push-Cart Multi-Beam LiDAR Platform for Multi-Trait Field Phenotyping. [PDF]

Sensors (Basel)
Siebers MH, Sindic CMT, Boettcher M.
europepmc   +1 more source

From plots to commercial fields: scalable, transferable cotton morphology and productivity estimation using functional growth proxies from UAV and PlanetScope time series. [PDF]

Plant Phenomics
Devoto F, Bange M, Camino C, Woodgate W, Chapman S, Potgieter A.   +5 more
europepmc   +1 more source

Influence of UAV Flight Pattern on Droplet Deposition in Citrus Canopies. [PDF]

Plants (Basel)
Han Y, Zhang Y, Zhan Y, Huang J, Qin Y, Cai J, Lan Y.   +6 more
europepmc   +1 more source

UAV-based temporal synergistic estimation of multiple alfalfa qualities integrating physics-informed network and 3D allometric operator. [PDF]

Plant Phenomics
Cheng T, Gao Z, Ren W, Ding Z, Yuan F, Liu Y, Xie J, Zan R, Wang D, Zhang D.   +9 more
europepmc   +1 more source

Canada1Water digital terrain model with bathymetry dataset. [PDF]

Data Brief
Kessel ED, Frey SK, Russell HAJ.
europepmc   +1 more source

UAV image-derived canopy traits for predicting alfalfa fall dormancy and forage yield in Mediterranean environments. [PDF]

Front Plant Sci
González F, Noushahi HA, Hernández D, Garriga M, Del Pozo A, Gerding M, Muñoz-Espinoza C, Gezan SA, Inostroza L.   +8 more
europepmc   +1 more source

Retrieving canopy height and density of paddy rice from Radarsat-2 images with a canopy scattering model

International Journal of Applied Earth Observation and Geoinformation, 2014
Quantification of rice biophysical properties is important not only for rice growth monitoring and cropping management, but for understanding carbon cycle in agricultural ecosystems. In this study, a rice canopy scattering model (RCSM) was firstly utilized to simulate rice backscatter with a root mean square error (RMSE)
Cuizhen Wang
exaly   +2 more sources

Testing and evaluating different LiDAR-derived canopy height model generation methods for tree height estimation

International Journal of Applied Earth Observation and Geoinformation, 2018
Abstract The LiDAR-derived Canopy height model (CHM), due to its wide applications in forestry, is important for foresters. Before a CHM can be considered a valuable, objective source of information about a canopy surface, it must be properly interpolated and preprocessed, which may sometimes be challenging, especially in case of multilayer and ...
Krzysztof Stereńczak, Miłosz Mielcarek
exaly   +2 more sources

Implementation of spaceborne lidar-retrieved canopy height in the WRF model [PDF]

Journal of Geophysical Research D: Atmospheres, 2016
AbstractCanopy height is closely related to biomass and aerodynamic properties, which regulate turbulent transfer of energy and mass at the soil‐vegetation‐atmosphere continuum. However, this key information has been prescribed as a constant value in a fixed plant functional type in atmospheric models. This paper is the first to report impacts of using
Junhong Lee, Jinkyu Hong
exaly   +2 more sources