Results 141 to 150 of about 5,678 (254)

Lidar-based Research and Innovation at DTU Wind Energy – a Review [PDF]

, 2014
Angelou N, Bingöl F, Bingöl F, Bradley S, Courtney M, Courtney M, Courtney M, Gürpinar M A, Hasager C B, Kristensen L, Kristensen L, Kristensen L, Mann J, Mann J, Medley J, Mikkelsen T, Mikkelsen T, Mikkelsen T, Mikkelsen T, Pedersen A T, Pedersen A T, Pedersen A T, Sathe A, Sjøholm M, Sjøholm M, Sjøholm M, Sjøholm M, Sjøholm M, Sjøholm M, Smith D A, T Mikkelsen, Vasiljevic N, Vasiljevic N, Wagner R, Wagner R, Wagner R   +35 more
core   +1 more source

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang, Daeun Choi, Damian Adams, Jaehyun Ahn, Kelly Balmant, Raquel Dias, Carlos D. Messina, Rafael Muñoz‐Carpena, Vance M. Whitaker, Haipeng Yu, Ziwen Yu, Chang Zhao, Changying Li   +12 more
wiley   +1 more source

Improved Dust Microphysical Retrieval From LiDAR by Introducing a Priori Constraints From In Situ and Laboratory Measurements

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 7, 16 April 2026.
Abstract The accuracy of height‐resolved dust microphysical retrieval from LiDARs has been greatly improved by the recently developed BOREAL (Basic algOrithm for REtrieval of Aerosol with LiDAR) algorithm which describes non‐spherical dust particles with the Irregular‐Hexahedral (IH) model and inverts 3β (backscattering at 355, 532, and 1,064 nm) + 2α (
Yuyang Chang, Qiaoyun Hu, Philippe Goloub, Thierry Podvin   +3 more
wiley   +1 more source

Context‐aware UAV LiDAR reveals forest structure and improves tree diameter estimates in subalpine forest

Ecological Solutions and Evidence, Volume 7, Issue 2, April–June 2026.
In this study we show how, in natural forests, tree heights adapt across environmental gradients as a response to environmental and biotic factors. Awareness of such local adaptations can be encoded into predictive features and leveraged by shallow learning methods to enhance predictions of tree diameter and tree‐level aboveground biomass.
Jaime C. Revenga, Stefan Oehmcke, Mana Gharun, Flurin Sutter, Fabian Gieseke, Katerina Trepekli, Nina Buchmann, Alexander Damm   +7 more
wiley   +1 more source

Perovskite‐based time‐domain signal‐balancing LiDAR sensor with centimeter depth resolution

InfoMat, Volume 8, Issue 4, April 2026.
In this study, we present a monolithic high‐speed perovskite‐based photodetector capable of directly sensing the time delay between two light pulses with a temporal resolution of at least 170 ps. This outstanding time resolution is achieved through a signal‐balancing detection scheme that effectively overcomes the limitations of conventional ...
Gebhard J. Matt, Vitalii Bartosh, Joshua R. S. Lilly, Vincent J.‐Y. Lim, Lorenzo J. A. Ferraresi, Daria Proniakova, Yuliia Kominko, Gytis Juška, Laura M. Herz, Sergii Yakunin, Maksym V. Kovalenko   +10 more
wiley   +1 more source

Challenges in using scanning lidars to estimate wind resources in complex terrain [PDF]

, 2018
Berg, Jacob, Mann, Jakob, Menke, Robert, Troldborg, Niels, Vasiljević, Nikola   +4 more
core   +1 more source

Imputing Missing Long‐Term Spatiotemporal Multivariate Atmospheric Data With CNN‐Transformer Machine Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Continuous physical domains are important for scientific investigations of dynamical processes in the atmosphere. However, missing data—arising from operational constraints and adverse environmental conditions—pose significant challenges to accurate analysis and modeling.
Jiahui Hu, Wenjun Dong, Alan Z. Liu
wiley   +1 more source

Experimental characterization of complex atmospheric flows: A wind turbine wake case study. [PDF]

Sci Adv
Angelou N, Sjöholm M, Mikkelsen TK.
europepmc   +1 more source

As above, so below: A perspective into the application of land‐forest monitoring methods for the assessment of marine animal forests

Methods in Ecology and Evolution, Volume 17, Issue 4, Page 1124-1142, April 2026.
Abstract Marine animal forests (MAFs) are benthic ecosystems dominated by vertically structuring filter‐ and suspension‐feeders. As terrestrial forests, they are considered biodiversity hotspots, forming canopies, serving as a refuge, nursery, reproduction and feeding shelters for many species.
Torcuato Pulido Mantas, Camilla Roveta, Martina Coppari, Cristina Gioia Di Camillo, Joaquim Garrabou, Nils Lucas Jacobsen, Marco Palma, Ubaldo Pantaleo, Manuja Promodya Hendawitharana, Carlo Cerrano   +9 more
wiley   +1 more source

Evaluating UAV and Handheld LiDAR Point Clouds for Radiative Transfer Modeling Using a Voxel-Based Point Density Proxy. [PDF]

Sensors (Basel)
Fujiwara T, Miura N, Naito H, Hosoi F.
europepmc   +1 more source