A feasibility study is performed to further explore the potential of the lidar observation as a tool for the study of the molecular and dust structure of the atmosphere. A computerized model of observation and solution is used to demonstrate a specific multiwavelength technique for separating the molecular and dust components of the lidar sounding up to 30 km. The detection of a time-dependent temperature wave at 13 km is simulated. The problem of observational error is also examined.
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http://dx.doi.org/10.1364/AO.14.001917 | DOI Listing |
New Phytol
January 2025
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 91011, USA.
A new proliferation of optical instruments that can be attached to towers over or within ecosystems, or 'proximal' remote sensing, enables a comprehensive characterization of terrestrial ecosystem structure, function, and fluxes of energy, water, and carbon. Proximal remote sensing can bridge the gap between individual plants, site-level eddy-covariance fluxes, and airborne and spaceborne remote sensing by providing continuous data at a high-spatiotemporal resolution. Here, we review recent advances in proximal remote sensing for improving our mechanistic understanding of plant and ecosystem processes, model development, and validation of current and upcoming satellite missions.
View Article and Find Full Text PDFJ Imaging
December 2024
Department of Agricultural Machinery Engineering, Graduate School, Chungnam National University, Daejeon 34134, Republic of Korea.
The geometric feature characterization of fruit trees plays a role in effective management in orchards. LiDAR (light detection and ranging) technology for object detection enables the rapid and precise evaluation of geometric features. This study aimed to quantify the height, canopy volume, tree spacing, and row spacing in an apple orchard using a three-dimensional (3D) LiDAR sensor.
View Article and Find Full Text PDFGeriatr Gerontol Int
January 2025
Medicine Academic Programme, Duke-NUS Graduate Medical School, Singapore.
Objectives: To promote standardization and feasible measurements of gait speed across the field, we developed a device that used light detection and ranging (LiDAR) technology to measure gait speed from a standing-start testing procedure conducted on a 4-m total walkway. We compared this automated (LiDAR-based) standing-start 4-m gait speed test (AS-4MG) with automated and manual (stopwatch-based) dynamic-start 4-m gait speed tests (AD-4MG and MD-4MG, respectively) on between-method agreement, measurement repeatability, and predictive validity with functional outcomes.
Methods: A sample of 48 community-dwelling adults (mean [SD], 69 [9] years) participated in this method comparison study.
Sci Total Environ
January 2025
Department of Geosciences, Atmospheric Science Division, Texas Tech University, Lubbock, TX, USA; National Wind Institute, Texas Tech University, Lubbock, TX, USA. Electronic address:
Understanding the kinematics of aerosol horizontal transport and vertical mixing near the surface, within the atmospheric boundary layer (ABL), and in the overlying free troposphere (FT) is critical for various applications, including air quality and weather forecasting, aviation, road safety, and dispersion modeling. Empirical evidence of aerosol mixing processes within the ABL during synoptic-scale events over arid and semiarid regions (i.e.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Environment and Resources, Southwest University of Science and Technology, Mianyang 621010, China.
The Daguangbao landslide (DGBL), triggered by the 2008 Wenchuan earthquake, is a rare instance of super-giant landslides globally. The post-earthquake evolution of the DGBL has garnered significant attention in recent years; however, its deformation patterns remain poorly characterized owing to the complex local topography. In this study, we present the first observations of the surface dynamics of DGBL by integrating satellite- and ground-based InSAR data complemented by kinematic interpretation using a LiDAR-derived Digital Surface Model (DSM).
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