Results 111 to 120 of about 255,039 (224)

Silicon Photonic Beam Steerer Based on Metalens Focal Plane Array

Nanophotonics, Volume 15, Issue 17, 11 September 2026.
A silicon photonic beam steerer based on a metalens focal plane array (FPA) monolithically integrates the collimation lens on‐chip while enabling blind‐spot‐free continuous beam steering. Thermo‐optic prisms provide continuous fine‐tuning and more than double the number of resolvable points.
Chung‐Yu Hsu, Ping‐Yen Hsieh, Hsun‐Sung Chiu, Li‐Jun Tung, Chieh‐Chih Yu, Ko‐Chi Chen, Yu‐Heng Hong, Hao‐Chung Kuo, Chi‐Wai Chow, You‐Chia Chang   +9 more
wiley   +1 more source

Measuring prairie snow water equivalent with combined UAV-borne gamma spectrometry and lidar [PDF]

The Cryosphere
Despite decades of effort, there remains an inability to measure snow water equivalent (SWE) at high spatial resolutions using remote sensing. Passive gamma ray spectrometry is one of the only well-established methods to reliably remotely sense SWE, but ...
P. Harder, W. D. Helgason, W. D. Helgason, J. W. Pomeroy   +3 more
doaj   +1 more source

Development of a UAV LiDAR-Based Framework for Consolidation Settlement Monitoring Through Spatial Analysis

Journal of Marine Science and Engineering
Construction sites with deep soft deposits usually experience significant consolidation settlement that can compromise structural integrity if not properly monitored.
Seok-Jun Ko, Seongho Hong, Tae-Young Kwak   +2 more
doaj   +1 more source

Atmospheric monitoring for the H.E.S.S. experiment using a single scattering lidar [PDF]

, 2009
The High Energy Stereoscopic System (H.E.S.S.) is an array of 4 telescopes located in Namibia, which use the imaging atmospheric Cherenkov technique (IACT) to study astrophysical emission of gamma radiation in the energy window from 100 GeV to 50 TeV ...
Rulten, Cameron Boyd
core  

Classification and Mapping of Fuels in Mediterranean Forest Landscapes Using a UAV-LiDAR System and Integration Possibilities with Handheld Mobile Laser Scanner Systems

Remote Sensing
In this study, we evaluated the capability of an unmanned aerial vehicle with a LiDAR sensor (UAV-LiDAR) to classify and map fuel types based on the Prometheus classification in Mediterranean environments.
Raúl Hoffrén, María Teresa Lamelas, Juan de la Riva   +2 more
doaj   +1 more source

Can building footprint extraction from LiDAR be used productively in a topographic mapping context? [PDF]

, 2014
Chapter 3Light Detection and Ranging (LiDAR) is a quick and economical method for obtaining cloud-point data that can be used in various disciplines and a diversity of applications. LiDAR is a technique that is based on laser technology.
Brearley, James, Agius, Carol
core  

SCANDEM-Coast - open-source tool for UAV LiDAR point cloud classification in coastal environments

SoftwareX
Remote sensing technologies, particularly Light Detection and Ranging (LiDAR) mounted on Unnamed Aerial Vehicle (UAV), are instrumental in monitoring the dynamics of coastal environments.
Paweł Terefenko, Kamran Tanwari, Jakub Śledziowski, Andrzej Giza, Xiaohao Shi   +4 more
doaj   +1 more source

Development of a Multiparametric Lidar with the depolarization sensor [PDF]

, 2009
The topic of this work was the design, the realization and the calibration of the depolarization sensor added in the Napoli Lidar (Light Detection and Ranging) system.
Nasti, Libera
core   +1 more source

Study of the application of UAV and LiDAR to topographic survey of mountainous forest areas – Case study of Win 3 Wind Power Plant Project, Huong Hoa District, Quang Tri Province, Vietnam

Reports on Geodesy and Geoinformatics
Unmanned Aerial Vehicle (UAV) technology in conjunction with aerial photography and aerial Light Detection and Ranging (LiDAR) was used for topographic surveying of the Win 3 Wind Power Project area, a complex mountainous terrain situated in the Huong ...
Trong Tran Dinh, Nguyen Dinh Huy, Tran Thi Hue   +2 more
doaj   +1 more source

An autonomous obstacle avoidance and path planning method for fruit-picking UAV in orchard environments

Smart Agricultural Technology
In orchard environments, compared with picking robotic arms, improving the efficiency and safety of the fruit-picking unmanned aerial vehicle (UAV) becomes more challenging.
Jun Li, Haobo Zhou, Yuju Mai, Yuhang Jia, Zhengqi Zhou, Kaixuan Wu, Hengxu Chen, Hengyi Lin, Mingda Luo, Linlin Shi   +9 more
doaj   +1 more source